Beauty D&D 中文
Text adventure romance simulator with DALL-E image generation (Chinese)
提示词库
awesome-prompts 里维护的角色提示词和系统提示词,按领域分组。复制到 Claude Code、Codex 或任意对话模型里就能用。
在 GitHub 上维护: awesome-image-video-prompts awesome-prompts
Text adventure romance simulator with DALL-E image generation (Chinese)
Production-ready 2D sprite sheets, animated GIFs, tilemaps, parallax layers, and game maps: asset planning, grid layout, frame containment, style matching, layer separation, engine-ready export; based on 0x0funky/agent-sprite-forge (Apr 2026, 2.2k+ stars)
Structured intent expansion for any request: Who/What/When/Where/Why/How/How much/How long; reduces cross-model variance and dual-inflation bias; based on "Does Structured Intent Representation Generalize?" (arXiv 2603.25379, 2026)
Architect A2A-compliant agent-to-agent systems: AgentCard discovery, Task lifecycle, Message/Part/Artifact contracts, JSON-RPC/gRPC/HTTP bindings, async streaming, OAuth/mTLS security, idempotency, versioning; based on the A2A open protocol (Google → Linux Foundation, v1.0 2026, 22k+ stars, Apache-2.0)
Prompt for designing A2UI-compliant declarative agent-generated interfaces: component catalog allowlists, surface updates, data-model bindings, action intents, sandboxed rendering, no executable code; based on Google's A2UI open protocol (github.com/google/A2UI, 2026, 15.4k+ stars, Apache-2.0)
Design latent reasoning systems with discrete abstract tokens: vocabulary design, bottleneck warm-up, self-distillation under constrained decoding, RL length penalty, early-exit probes, trajectory audit; up to 11.6× fewer reasoning tokens vs. verbal CoT; based on "Thinking Without Words" (arXiv 2604.22709, April 2026; IBM Research AI)
Full-spectrum manuscript orchestrator: 12-agent pipeline (literature strategy → structure → argument → draft → citation → bilingual abstract → simulated peer review → formatting); style calibration, writing quality checks, IRON RULE checkpoints, 8 invocation modes; based on Imbad0202/academic-research-skills (May 2026, 18k+ stars)
Comprehensive manuscript review: contribution assessment, methodology critique, reproducibility, ethics, constructive feedback, recommendation with confidence (2026)
WCAG 2.2 AA auditor: screen reader testing, keyboard navigation, ARIA patterns, assistive tech, CI/CD integration, legal compliance (ADA/EAA/508) (2026)
AI-driven personalized education: knowledge tracing, spaced repetition, intelligent tutoring, learning analytics, engagement design, ethical safeguards (2026)
Parallel divergent ideation for coding agents: spawns N isolated branches under cognitive frames (hardware/regulator/biology/speedrunner/etc), scores/clusters/prunes traps, deepens survivors; mechanical generator/critic split with zero shared context during divergence; for architecture, naming, API design, and fuzzy-debugging decisions; based on UditAkhourii/adhd (May 2026, 717+ stars, The New Stack featured, preprint)
Prompt for ADK-style progressive-disclosure skills: L1 metadata, on-demand skill payloads, load/unload triggers, versioning, skill-factory tradeoffs (2026)
Prompt for designing AG-UI-compliant agent-to-user frontend integrations: event sourcing, lifecycle/tool/state events, SSE/WebSocket transport, human-in-the-loop interrupts, generative UI payloads; based on the AG-UI open protocol (ag-ui-protocol/ag-ui, 2026, 14k+ stars)
Context-window optimization architect for AI coding agents: Think-in-Code discipline (script execution vs bulk file reads), sandboxed tool-output routing, session continuity via indexed event stores, context telemetry with savings targets, and cross-platform discipline (3 OS × 15 adapters); based on mksglu/context-mode (Feb 2026, 15.4k+ stars, Hacker News #1, used by Microsoft/Google/Meta/Amazon/NVIDIA)
Prompt for designing cooperative multi-agent systems: shared objective, local roles, disagreement rules, anti-herding controls, evaluation signals (2026)
End-to-end cost observability and budget-governance system for AI coding agents: multi-provider token telemetry, real-time TUI/menubar dashboards, per-project budget envelopes, cost-anomaly detection, optimization recommendation loops, forecast-and-actual tracking; based on getagentseal/codeburn (Apr 2026, 7.2k+ stars)
Red-team auditor for agent data injection (ADI): malicious data disguised as trusted metadata, tool outputs, or agent-context structures; structural isolation, schema validation, provenance labeling, and out-of-band verification; based on "Agent Data Injection Attacks are Realistic Threats to AI Agents" (arXiv 2607.05120, July 2026)
Design the runtime, artifacts, constraints, and interfaces that let off-the-shelf CLI agents do metric-driven autonomous scientific discovery: permissions/artifact/budget/human-in-the-loop engineering, hidden-evaluator sandbox, parallel propose-implement loops, cost-capped exploration; based on EurekAgent (arXiv 2606.13662, June 2026; THU-Team-Eureka/EurekAgent)
Evaluation prompt for real-world agents: task suites, noise audits, reproducibility, intervention/safety metrics, failure taxonomy; derived from Anthropic's 2026 eval guidance
Prompt for defining ownership, delegation, authority, approvals, and audit trails across multiple agents: governance-first orchestration design (2026)
System prompt for designing reliable agent runtimes: tool minimization, approval gates, memory/compaction, rollback, observability, evals; derived from OpenAI/Anthropic harness guidance (2026)
Cross-harness agent harness optimization: token economics, memory persistence hooks, continuous learning via instinct extraction, verification loops, parallelization, security scanning; based on affaan-m/everything-claude-code (Jan 2026, 182k+ stars)
Agent memory systems architect: STM/LTM design, extraction/storage/retrieval modules, hierarchical graph memory, context compression, reasoning-aware recall; based on 2026 memory-architecture research (2026)
Two-layer permission classifier for agentic tools: fast heuristic filter + model-based risk scorer, read-vs-write auto-approval policies, blast-radius gates, user-override protocols, and audit-driven threshold tuning; based on Anthropic's Claude Code Auto Mode (Mar 2026)
Prompt for choosing MCP vs A2A vs simpler transports: protocol mapping, trust boundaries, ownership, retries, migration plan; derived from Google's 2026 protocol guide
End-to-end adversarial test architect for AI agent systems: kill-chain design, indirect injection, multi-turn escalation, cross-channel attacks, ecosystem propagation, automated red-team pipelines; based on Black Hat 2026, USENIX Security 2026, and OpenAI 2026 safety research (2026)
Reliability-engineering prompt that separates reliability from capability: four-dimension scorecard (consistency, robustness, predictability, safety/fault-tolerance), 3D reliability surface R(k, ε, λ) with explicit operating envelopes, chaos-engineering plan with fault injection, harness-hardening checklist (environment-coupled loops, replan triggers, snapshots, typed error contracts, confirmation gates, budgets), pass@1-overestimates-by-20-40% guardrail, unsafe-success detection; based on "Towards a Science of AI Agent Reliability" (arXiv 2602.16666, 2026) and "ReliabilityBench: Evaluating LLM Agent Reliability Under Production-Like Stress" (arXiv 2601.06112, 2026)
Scalable automated safety-testing architect for LLM agents: literature-driven risk taxonomy, combinatorial executable safety-case generation, deterministic verifier predicates, adaptive sandbox execution with control agent and evidence-grounded verifiers; based on "Safety Testing LLM Agents at Scale" / Vera (arXiv 2607.01793, July 2026)
Compositional security audit for installed agent skill sets: capability extraction, pair-level forbidden unions, transitive multi-hop chains, host-model disposition analysis, install-time set-level gates; based on "When Safe Skills Collide" (arXiv 2606.00448, 2026)
Prompt for packaging reusable agent skills: narrow scope, tool-aware workflow, safety rules, verification checklist, `SKILL.md` draft output; derived from Anthropic/Google skill guidance (2026)
Paired audit for whether an injected agent skill actually helps on a real-world SE task: baseline-first measurement, context-interference detection (surface anchoring, hallucination, concept bleed), token-overhead accounting, and a keep/drop decision gate; based on SWE-Skills-Bench (arXiv 2603.15401, 2026)
Text-space skill trainer that treats natural-language skill documents as neural-network parameters: rollout (forward pass), reflect (backward pass), aggregate, select (gradient clipping), update, and gate (validation) loops; learning-rate schedules, slow-update epoch boundaries against catastrophic forgetting, meta-skill cross-epoch memory, and convergent diagnostics on frozen LLMs; produces deployable best_skill.md artifacts; based on microsoft/SkillOpt (May 2026, arXiv 2605.23904)
Supply-chain security audit for agent skill ecosystems: DDIPE poisoning detection, MCP schema hardening, cross-skill propagation analysis, provenance verification, least-privilege harness review; based on 2026 agent skill supply-chain attack research (2026)
Local-agent state maintenance architect: inspect-before-mutate discipline, report-first workflow, archive-don't-delete policy, handoff-doc continuity, session metadata bloat detection, stale worktree pruning, log rotation, and config hygiene; based on vibeforge1111/keep-codex-fast (May 2026, 1.2k+ stars)
Literature-backed technical-prose writing ruleset: 21 rules (12 canonical from Strunk & White/Orwell/Pinker/Gopen & Swan + 9 field-observed from LLM output 2022, 2026) with severity tiers, BAD/GOOD examples, and escape hatch; drop-in for any AI agent producing `.md`, `.tex`, `.rst`, or source-code comments; based on yzhao062/agent-style (2026)
Prompt for designing, evaluating, and iteratively improving agent tools: tool selection/omission (constraint collapse), namespacing, context-rich returns, token-efficient responses, description prompt-engineering, agent-driven optimization loops; based on Anthropic's 2026 "Writing effective tools for agents" guidance
Post-deployment trajectory sampling and triage prompt: three-dimensional signal taxonomy (interaction / execution / environment), cheap-rules-first extractors, diversified ranking, reviewer-feedback loop, explicit privacy-redaction step; designed to lift informative traces over random sampling without ground-truth labels; based on "Signals: Trajectory Sampling and Triage for Agentic Interactions" (arXiv 2604.00356, April 2026, 6.2k HF likes)
Unified virtual-filesystem layer for AI agents: mount topology, resource adapters, bash-tool surface, two-layer cache, snapshots/cloning, framework integration; based on strukto-ai/mirage (May 2026, 2149 stars)
Predictive environment simulators for agent imagination: state-space design, dynamics modeling, counterfactual rollouts, plan-then-execute integration, world-model-specific safety (hallucinated futures, goal misgeneralization, deceptive alignment); spans physics, language, and hybrid world models; based on VLA-World, OccuBench, and 2026 world-model safety research (2026)
Programming-language designer that treats agents as primary users: small regular surface, deep standard library, deterministic structured tooling, and explicit syntax; based on vercel-labs/zerolang (May 2026, 3.6k+ stars)
Agent-native CLI architect for GUI software: 7-phase SOP to wrap any GUI app into a stateful, agent-usable CLI with REPL + subcommand modes, backend integration, test planning, and SKILL.md generation; based on HKUDS/CLI-Anything (Mar 2026, 34k+ stars)
Data-management-first memory system architect: designs representation/storage, extraction, retrieval/routing, and maintenance as measurable modules; workload-aware benchmarking, localized-vs-global maintenance trade-offs, update-correctness discipline; based on "Are We Ready For An Agent-Native Memory System?" (arXiv 2606.24775, June 2026; OpenDataBox/MemoryData benchmark suite)
Hybrid security scanner architect: regex matchers for fast wide coverage + AI agents for deep analysis, project-specific INFO.md context engineering, evidence-driven custom matchers, trust-boundary triage, and cost-governed revalidation; designed for monorepos and large codebases; based on vercel-labs/deepsec (Apr 2026, 2.7k+ stars)
Beyond-outcome agent evaluation: separates outcome success, control-decision quality, and trajectory quality using a six-state taxonomy (Act / Ask / Refuse / Stop / Confirm / Recover); identifies primary error source and downstream impact; tests for label-menu dependence; based on "AgentAtlas: Beyond Outcome Leaderboards for LLM Agents" (arXiv 2605.20530, May 2026)
Diagnostic agent evaluator: scores trajectories by control-decision taxonomy (Act / Ask / Refuse / Stop / Confirm / Recover), trajectory-failure taxonomy, six-axis coverage audit, and taxonomy-aware vs. taxonomy-blind gap; separates real capability from prompt-supervision artifacts; based on "AgentAtlas: Beyond Outcome Leaderboards for LLM Agents" (arXiv 2605.20530, May 2026)
Parametric CAD and hardware-design engineer: STEP-first build123d/Python parts and assemblies, natural-language spec → CAD brief, enclosures/fixtures/joints/mating, URDF/SDF/SRDF robotics descriptions, source-controlled geometry with validated exports; based on earthtojake/text-to-cad (Apr 2026, 2952 stars)
Prompt for evidence-backed code reasoning: semi-formal reasoning chain, competing hypotheses, verification-first conclusions for complex code understanding (2026)
Plan-first coding agent: security checklist, test discipline, PR summary format (2025)
Zero-human-company multi-agent orchestration architect: org-chart design, heartbeat-driven execution, goal-aligned delegation, budget governance with hard stops, ticket-based task tracking, board approval gates, multi-company isolation, and portable company templates; based on paperclipai/paperclip (Mar 2026, 64k+ stars)
Evolving-context playbook architect for self-improving agents: Generator/Reflector/Curator roles, itemized structured bullets with outcome counters, incremental delta updates (no full rewrites), grow-and-refine with semantic de-duplication, anti-collapse and anti-brevity guardrails; based on "Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models" (arXiv 2510.04618, v3 March 2026; +10.6% agent benchmarks, +8.6% finance)
Rule-following agent architect: stores statutes/policies as retrievable harness files, binds case facts to rule elements on demand, handles cross-references and exceptions, verifies conclusions before submission; based on DAR (arXiv 2606.05009, June 2026)
Local-first, ship-ready HTML publisher: turns Markdown/CSV/JSON/notes into single-file HTML via 75 skill templates across 9 surfaces (magazine, deck, poster, social cards, prototype, data report, Hyperframes); juice-inlined CSS for WeChat, 2× PNG for X, standalone .html download; anti-AI-slop design discipline with locked palettes, CJK font stacks, and 8 px baseline grid; based on nexu-io/html-anything (May 2026, 4.5k+ stars)
Persistent-memory architect for coding agents: confidence-scored memory taxonomy, hybrid retrieval, temporal knowledge graph, session compression, MCP tool surface, and platform integration across Claude Code / Codex / Cursor / Gemini CLI / Hermes / OpenClaw / pi / OpenCode; based on rohitg00/agentmemory (Feb 2026, 27k+ stars)
Provider-neutral agent harness architect: MVP blueprint, loop design, tool/permission contracts, context/memory/compaction, planning/goals, skills/MCP connectors, prompt caching, observability/evals, safety guardrails; based on DenisSergeevitch/agents-best-practices (May 2026, 654 stars)
Authoring prompt for the AGENTS.md open standard: concise repo-root file telling cross-vendor coding agents (Codex CLI, Cursor, Aider, Gemini CLI, Jules, Factory, RooCode; Claude Code via CLAUDE.md) how to set up, build, test, and commit safely; recommended section order, extract-don't-invent commands, monorepo nested-file resolution, ≤200-line discipline, anti-patterns, provenance + questions output; based on the official agents.md spec, OpenAI's Aug 2025 introduction, and Agentic AI Foundation / Linux Foundation 2026 stewardship
Enterprise agile transformation: operating model design, framework selection, product management integration, flow optimization, change management, technical practices (2026)
Interactive research partner for open-ended mathematical discovery: ideation, literature bridging, computational exploration, conjecture formation, theorem proving, theory building; manages uncertainty, tracks dead ends, refines intent across turns; scored 48% on FrontierMath Tier 4; based on Google DeepMind's AI Co-Mathematician (arXiv 2605.06651, May 2026)
Algorithmic ethics audit: fairness & bias, transparency, privacy, safety, accountability, societal impact, cross-cultural considerations, mitigation roadmap (2026)
End-to-end AI governance counsel: use-case triage (APPROVED/CONDITIONAL/NOT APPROVED), AI impact assessment, vendor AI review, regulatory gap analysis, policy monitoring; source-attribution discipline with [settled]/[verify]/[verify-pinpoint] tiers, red-line gates, jurisdiction-aware cross-checks, lawyer/non-lawyer role calibration; based on Anthropic's official Claude for Legal (Apr 2026, 7.3k+ stars)
AI-first product design: agentic workflows, generative UI, human-in-the-loop at the right level, self-improving loops, trust & transparency architecture (2026)
Production data infrastructure: dimensional modeling, dbt, pipeline architecture, data quality testing, metrics definition (2026)
Concise behavioral guardrails against common LLM coding mistakes: think before coding, simplicity first, surgical changes only, goal-driven verification; derived from Andrej Karpathy's observations on LLM coding pitfalls (Jan 2026)
Structural-variety-first design skill: refuses LLM-default rhythms, enforces 69-gate slop test, locked-token discipline, honest-copy rule, pre-emit 6-axis self-critique, and four verbs (default/audit/redesign/study); based on Nutlope/hallmark (Apr 2026, 2.4k+ stars)
Architect for Unicity AOS Community Edition: capsules, Astrid Runtime, Forge workbench, meta-harness loops, MCP bridge, and least-privilege capability design; based on unicity-aos/aos-ce (Rust, 6.5k+ stars, July 2026)
Integration architect: pattern selection, auth, retry/backoff, idempotency, observability for reliable system-to-system integrations (2026)
Reconstruct prompt-heavy enterprise LLM prototypes into traceable, auditable, code-owned systems: source-to-claim pipeline, code-owned contracts, seven validation dimensions, replaceable composition boundary, insight-first answer structure; based on "From Prompts to Contracts: Harness Engineering for Auditable Enterprise LLM Agents" (arXiv 2607.08028, July 2026)
ISO 26262 safety architect: HARA with Cartesian malfunction analysis, ASIL decomposition, FSC/TSC derivation, HW-SW interface design, ISO/SAE 21434 cybersecurity concept, ISO 21448 SOTIF validation, GSN safety-case argument; every artifact paired with implicit reviewer gate; based on jherrodthomas/automotive-skills-suite (May 2026)
Self-directed experiment loop for ML research: fixed-time-budget training, single-file edit discipline, keep/discard decision gates, git-branch state management, overnight autonomy; reads code, forms hypotheses, runs experiments, logs results, and iterates without human intervention; based on karpathy/autoresearch (Mar 2026, 80k+ stars)
Design model-based permission classifiers for coding agents: prompt-injection probe, reasoning-blind transcript classifier with two-stage filter, block/allow templates, deny-and-continue semantics, and recursive subagent handoff gates; based on Anthropic's "How we built Claude Code auto mode" (March 2026)
Chat-driven autonomous development orchestrator: human sets direction via lightweight messages, self-coordinating claws execute planning/build/test/review/push loops; notification routing (git/tmux/GitHub/lifecycle) kept strictly outside agent context windows; based on ultraworkers/claw-code (Mar 2026, 191k+ stars)
Long-horizon web research agent: search, browse, extract, verify, synthesize; tool discipline, confirmation gates, prompt-injection resistance (2026)
Production-grade computational biology: NGS pipelines (FASTQ→BAM→VCF), single-cell/spatial transcriptomics, differential expression, variant calling, multi-omics integration; Snakemake/Nextflow workflows, Bioconductor statistical rigor, reproducible containerized environments; based on GPTomics/bioSkills (2026)
Transform technical books and documents into structured agent skills: extracts frameworks, mental models, principles, techniques, and anti-patterns; generates on-demand SKILL.md, chapter summaries, glossary, patterns, and cheatsheet; based on virgiliojr94/book-to-skill (May 2026, 1k+ stars)
Brand building and reputation: positioning, messaging, visual identity, GEO (Generative Engine Optimization), crisis management, brand experience (2026)
Self-healing browser harness architect: direct CDP websocket, thin editable runtime, agent-generated helper layer, domain/interaction skill separation; based on browser-use/browser-harness (Apr 2026, 12k+ stars)
Master orchestrator for bug bounty hunting and external red-team work: 5-phase non-linear workflow, critical-thinking framework (developer psychology, anomaly detection, What-If experiments), engagement-type routing (bug bounty vs red team vs pentest), and per-class hunt disciplines; curated from 574+ disclosed HackerOne reports; based on elementalsouls/Claude-BugHunter (May 2026, 681 stars, 51 skills)
Strategic job-search system: 6-block evaluation, ATS-optimized CV deltas, STAR+Reflection interview prep, negotiation scripts, pipeline integrity; filter-not-spray philosophy with human-in-the-loop; based on santifer/career-ops (Apr 2026, 44k+ stars)
Ultra-compressed agent communication: drops articles, filler, and hedging while preserving full technical accuracy; ~75% output-token reduction; supports lite/full/ultra/wenyan intensity levels; based on JuliusBrussee/caveman (Apr 2026)
Chief Financial Officer driving capital allocation and enterprise value: FP&A, fundraising, M&A, pricing strategy, board reporting (2026)
Minimal reasoning scratchpad: 5 words per step, 92% fewer tokens vs CoT (arXiv 2502.18600)
Organizational transformation and adoption: stakeholder alignment, communication strategy, training programs, adoption tracking, sustainment, cultural change (2026)
End-to-end China patent mining and technical disclosure drafting: project scanning, patent-point extraction, CNIPA prior-art search with abstract-grounded summaries, de-identified disclosure documents with mermaid diagrams, iterative revision loops, and self-check gates; based on handsomestWei/patent-disclosure-skill (Apr 2026, 1.6k+ stars)
End-to-end Chinese software copyright registration package: real source-code extraction (first-30 / last-30 pagination), examiner-facing operation manual with anti-AI-flavor discipline, mandatory human confirmation gates, registration-form consistency enforcement; based on Fokkyp/SoftwareCopyright-Skill (Apr 2026, 3.5k+ stars)
Timing-aware clarification policy for long-horizon agents: empirically-derived windows for goal/input/constraint/context clarification; goal clarifications lose nearly all value after 10% execution (pass@3 drops from 0.78 to baseline), input clarifications retain value through ~50%, and deferring any clarification past mid-trajectory degrades performance below never asking; cross-model Kendall tau 0.78, 0.87 confirms task-intrinsic timing curves; based on "Ask Early, Ask Late, Ask Right" (arXiv 2605.07937, May 2026)
Multi-book binding ruleset for AI coding agents: Clean Code (readability, naming, functions, side effects), Clean Architecture (dependency direction, boundaries, adapters), Domain-Driven Design (bounded contexts, aggregates, ubiquitous language), Designing Data-Intensive Applications (consistency, durability, replication, schema evolution); unified review checklist; based on ciembor/agent-rules-books (Apr 2026, 1.4k+ stars)
System prompt for generating rich Claude Artifacts (UI, interactive apps, code)
Turn/goal/time/proactive loop operator for Claude Code: choose the right primitive (`/goal` · `/loop` · `/schedule`), encode verification skills, manage tokens, and design routines that run while you sleep; based on Anthropic's official "Loop engineering: Getting started with loops" guide (July 2026)
Designer prompt for Anthropic's Claude Code sub-agents: when to use sub-agent vs skill vs inline, kebab-case naming, routing description authoring, least-privilege tool allowlists, isolated context discipline, output-contract lock-in, routing stress test; based on Anthropic's Claude Code Sub-Agents docs (Feb 2026) and wshobson/agents + VoltAgent/awesome-claude-code-subagents (2026)
Cline-optimized prompt engineer: four-element task prompts (goal/context/constraints/done-when), Plan/Act mode discipline, `.clinerules` authoring, MCP server and plugin preferences, multi-agent team scoping, and headless CI/CD conventions; based on cline/cline (Apache-2.0, 64k+ stars, 2026)
Differential diagnosis generator + SOAP note writer from transcripts/notes: ICD-10/CPT coding, diagnostic workup, HIPAA-compliant (2026)
Clinical trial operations: GCP compliance, protocol design, site management, patient recruitment, safety reporting, decentralized trials, data integrity (2026)
Senior cloud architect: multi-cloud (AWS/Azure/GCP), Well-Architected Framework, migration 6Rs, FinOps, zero-trust, disaster recovery, IaC (2026)
Security-focused code reviewer: OWASP Top 10, severity grading, fix examples (2026)
Transform code, SQL schemas, infrastructure definitions, docs, and multimodal assets into a structured, queryable knowledge graph: AST-level entity extraction, God-node identification, surprising cross-module connections, design-rationale mining, architectural tension detection, and confidence-tagged edges (EXTRACTED / INFERRED / AMBIGUOUS); outputs GRAPH_REPORT.md, graph.json, and optional interactive visualization; supports incremental delta updates on commits; based on safishamsi/graphify (Apr 2026, 44k+ stars)
MCP-native code-intelligence architect for DeusData codebase-memory-mcp: index repos into a persistent knowledge graph (158 languages, Hybrid LSP, <1ms structural queries), map agent questions to the 15 MCP tools, design indexing/watch/artifact policies, and enforce query plans that replace file-by-file exploration; based on DeusData/codebase-memory-mcp (MIT, 37k+ stars, Feb 2026)
Operate OpenAI's Codex Security CLI for vulnerability discovery, validation, and patching: scan planning (standard/deep/diff/working-tree), model/effort selection, knowledge-base attachments, cost bounds, CI gating with `--fail-on-severity`, SARIF/CSV/JSON export, and `validate`→`patch` triage discipline; based on openai/codex-security (Apache-2.0, 8k+ stars, July 2026)
Production-grade system prompt for CLI coding agents: identity, permission model, task execution discipline, code style constraints, risk-aware action, tool usage protocol, output efficiency; independently authored from patterns observed in Claude Code (Apr 2026)
Distill any person's cognitive operating system into a reusable agent skill: five-layer extraction (expressive DNA, mental models, decision heuristics, anti-patterns, honesty boundaries), six-channel research, triple-gate validation, directional + uncertainty verification; based on alchaincyf/nuwa-skill (Apr 2026, 22k+ stars)
Unified four-layer architect that decides which cognition stays in weights, which lives in the prompt, and which is externalized into memory / skills / protocols / harness: precondition check, per-layer audit (what belongs where, what does not), interface contracts between layers (no cross-layer bypass), invariants (separation of concerns / least privilege / inspectability / reversibility / versioning), test plan, and a strict output contract that forces every cognitive function to declare its location; refuses "mega-prompt" designs and "externalize everything" router-agents alike; based on "Externalization in LLM Agents: Memory, Skills, Protocols, Harness" (arXiv 2604.08224, April 2026, Shanghai Jiao Tong / UCL)
Community leader building engaged, healthy communities: moderation, engagement loops, advocacy programs, member lifecycle, culture building (2026)
SOC 2, ISO 27001, HIPAA, PCI-DSS: gap assessment, evidence collection automation, policy templates, audit preparation, continuous compliance (2026)
System prompt for browser/desktop agents: observe → act → verify loops, least privilege, confirmation gates, phishing/prompt-injection resistance; derived from OpenAI's 2026 computer-use guidance
Red-team prompt for browser/desktop agents: indirect injection, data exfiltration, domain confusion, unsafe confirmation skipping, long-horizon degradation; derived from OpenAI's 2026 safety guidance
Constraint workflow designer for LLM-based planning: hard/soft constraint typology with formal model checking vs LLM-as-judge verification, intent alignment, conflict resolution, constraint versioning; based on U-Define (arXiv 2605.02765, May 2026)
Content experiment strategist: turns every post into a calibrated 5-phase loop (score → blind-predict → ship → retro → evolve); rubric-driven scoring, immutable prediction discipline, and compounding judgment over time; format-agnostic (video, essay, thread, podcast); based on XBuilderLAB/cheat-on-content (May 2026, 3k+ stars)
CoT-based content moderation: policy-driven ALLOW/BLOCK classification with thinking trace and structured verdict (2026)
Context-engineering maturity architect: designs the full informational environment for agents across the four-level pyramid (Prompt → Context → Intent → Specification Engineering) and audits it against five quality criteria (relevance, sufficiency, isolation, economy, provenance); based on "Context Engineering: From Prompts to Corporate Multi-Agent Architecture" (arXiv 2603.09619, 2026)
Governed knowledge-vault architect beneath RAG: typed Markdown artifacts, deterministic set-algebraic selectors, contextnest:// URI citations, SHA-256 hash-chained versions, graph checkpoints, MCP source nodes, and audit traces so every agent output is reconstructible; based on ContextNest (arXiv 2607.02116, July 2026; IBM Research / Emory)
Contextual-integrity-based prompt-injection defense architect: models every flow as (sender, recipient, subject, transmission principle, context), detects misrepresentation / norm alteration / flow blending, and designs fail-closed agents with explicit norm maps and audit logs; based on "AI Agents May Always Fall for Prompt Injections" (arXiv 2605.17634, May 2026)
Structured product discovery: Opportunity Solution Trees (Teresa Torres), 8-risk assumption mapping, 9 prioritization frameworks (Opportunity Score/RICE/ICE/Kano), lean startup experiments with XYZ hypotheses and pretotypes; validates before building, prioritizes problems over features; based on phuryn/pm-skills (Mar 2026, 15.8k+ stars)
Complex deal negotiation: contract architecture, risk allocation, BATNA/ZOPA analysis, concession planning, cultural negotiation, AI-assisted contract analysis, M&A and licensing (2026)
Master storytelling mentorship: narrative structure, character development, world-building, voice & style, revision craft, genre conventions, AI-assisted creativity with human voice preservation (2026)
Global communication strategy: cultural dimension mapping, tone adaptation, visual symbolism, behavioral UX, cross-cultural team protocols, AI content cultural review (2026)
Account success leader maximizing lifetime value: health scoring, account planning, executive engagement, EBRs, retention & expansion, advocacy programs (2026)
Empathetic SaaS support agent: single-interaction resolution, tone calibration, escalation rules, no spin (2026)
Production-grade cybersecurity skill architect for AI agents: agentskills.io standard with YAML frontmatter, five-framework cross-mapping (MITRE ATT&CK v18, NIST CSF 2.0, MITRE ATLAS v5.4, D3FEND v1.3, NIST AI RMF 1.0), progressive disclosure (~30-token frontmatter scan / 500, 2K-token full workflow), 26-domain coverage, structured When-to-Use/Prerequisites/Workflow/Verification/Output-Format; based on mukul975/Anthropic-Cybersecurity-Skills (Feb 2026, 6.3k+ stars, 754 skills)
Extract insights, flag anomalies, recommend specific visualizations
Senior analyst translating data into insights: SQL, A/B testing, cohort analysis, metrics, visualization, statistical rigor, actionable recommendations (2026)
Data pipeline specialist: Medallion Architecture (Bronze/Silver/Gold), PySpark + Delta Lake, dbt contracts, Great Expectations, Kafka streaming (2026)
Enterprise data governance: policy frameworks, stewardship models, data catalogs, lineage tracking, privacy compliance, AI data standards (2026)
Enterprise data platform design: lakehouse architecture, data mesh, real-time streaming, AI/ML pipelines, governance, multi-cloud cost optimization (2026)
DB architect: entity modeling, normalization (1NF, 3NF), index strategy, PostgreSQL DDL with migration notes (2026)
Systematic bug hunter: reproduce → observe → hypothesize → test → localize → fix; works for any language (2026)
Multi-step research system prompt: plan, search, cross-check, synthesize (2025)
Sustained focus system design: attention audit, time blocking, flow state engineering, digital environment design, cognitive load management, team protocols (2026)
Autonomous vulnerability discovery & remediation harness: threat model → sandbox → discover → verify → triage → patch; parallel find agents, independent grader agents, gVisor sandbox, ASAN crash verification, and patch verification ladder; based on Anthropic's Defending Code Reference Harness (May 2026, 6k+ stars)
Prompt for authoring DESIGN.md design-system specifications: machine-readable YAML tokens + human-readable rationale, component definitions, state variants, and WCAG-safe palettes; derived from Google Labs' 2026 design.md specification (2026)
DevRel: DX audits, technical content, community building, product feedback loops, SDK adoption, conference talks, time-to-first-success tracking (2026)
Prompt engineering for non-autoregressive diffusion language models (LLaDA, Dream, MMaDA): bidirectional prefix/suffix conditioning, fill-in-the-middle design, mask scheduling, step-level intervention, test-time scaling via S³ parallel trajectories + verifier selection, CFG and temperature analog tuning; based on 2025, 2026 diffusion-LM research (2026)
Disciplined diagnosis loop for hard bugs and performance regressions: feedback-loop construction, falsifiable hypotheses, instrumented probes, correct regression-test seams, cleanup protocol; based on mattpocock/skills (Feb 2026)
Side-by-Side (SxS) interleaved reasoning strategist: designs when an agent should reveal reasoning vs. keep it private in streaming interfaces; support-threshold gating, update-granularity ladders, silence-tax management, anti-filler rules, correction protocols for commitment bias; based on "When to Think, When to Speak" (arXiv 2605.03314, ICML 2026)
Parallel divergent ideation for open-ended problems: spawns N isolated reasoning branches under cognitive frames (hardware, biology, speedrunner, $0 budget), separates generator from critic, scores novelty/viability/fit, clusters by angle, deepens survivors; based on UditAkhourii/adhd (May 2026, 502 stars, preprint + The New Stack)
Fresh-context adversarial review for non-trivial decisions: CLAIM → EXTRACT → DOUBT → RECONCILE → STOP cycle; isolates artifact + contract, forbids passing the claim to the reviewer, bounds doubt theater, offers cross-model escalation; based on addyosmani/agent-skills (2026, 54.7k+ stars)
Elastic context orchestration architect for long-horizon agents: Context-ReAct loop with five atomic operations (Skip, Compress, Rollback, Snippet, Delete), adaptive relevance scoring, hot/warm/cold context layers, expressive-completeness verification for compression, rollback checkpointing, and horizon-specific failure mitigation; based on LongSeeker (arXiv:2605.05191, May 2026)
Production-grade MCU firmware: ESP32/ESP-IDF, STM32 HAL/LL, Nordic nRF5/Zephyr, FreeRTOS; static allocation discipline, ISR minimalism, protocol state machines (UART/SPI/I2C/CAN/BLE), memory-safety rules, stack watermark verification; based on GammaLabTechnologies/harmonist (Apr 2026, 1788 stars)
VLA systems, robotic agents, world-model-driven embodied intelligence: perception-action grounding, sim-to-real pipelines, cross-embodiment transfer, skill primitives, physical safety gates; derived from 2026 embodied-AI research (StarVLA, EmbodiedClaw, VLA-World) (2026)
Senior coding partner grounded in Anthropic's 2026 emotion-vectors research: incremental delivery, honest uncertainty calibration, collaborative pushback, debugging transparency (2026)
Research collaborator grounded in Anthropic's 2026 emotion-vectors research: explicit confidence calibration, bias flagging, honest uncertainty, intellectual honesty over authoritative-sounding guesses (2026)
End-to-end social-science empirical research pipeline: 8-step closed loop (cleaning → estimation → robustness → publication), estimand-first causal design, 12 estimator classes (DID/RDD/IV/SC/DML), referee-level replication discipline; based on brycewang-stanford/Auto-Empirical-Research-Skills (Apr 2026, 1.4k+ stars) / StatsPAI / Stanford REAP
Benchmark design, evaluation metrics, rubric development, failure mode analysis, continuous monitoring: regression testing, cost-effective evaluation (2026)
Audits and closes the gap between benchmark scores and production behavior: matched eval-shape vs production-shape probe pairs, per-workload delta with CIs, mandatory differential diagnosis (distribution shift / template fragility / length effects / tool availability / safety-cue) before attributing residual to eval awareness, both-direction audit (capability and safety, over- and understatement), probe rotation as a leak control, layered mitigations (report-the-gap → parallel CI → paraphrase rewrites → post-training only on held-out probes), production drift monitoring; based on Anthropic's "Eval Awareness in Claude Opus 4.6's BrowseComp Performance" (anthropic.com/engineering/eval-awareness-browsecomp, March 2026)
C-suite support operations: calendar stewardship, strategic prioritization, communication management, meeting excellence, travel logistics, board coordination, AI-augmented executive enablement (2026)
Think / act / prove agent loop: classify the ask, define done with named verification, gather primary-source evidence in parallel, commit to one recommendation, act surgically, verify by observation, report outcome-first; includes domain adapters, triviality/fit/intent/recall/authorization gates, twin-check, and artifact gate; based on Sahir619/fable-method (MIT, 1.9k+ stars, July 2026)
Comprehensive wealth management: financial planning, investment strategy, risk management, tax optimization, estate planning, behavioral coaching (2026)
Fund-administration and financial-operations analyst: GL reconciliation, month-end close (accruals, roll-forwards, variance commentary), LP statement audit, KYC/onboarding screening with rules-engine evaluation and sanctions/PEP escalation; spreadsheet discipline, audit-trail hygiene, human sign-off gates; based on Anthropic's official Claude for Financial Services (May 2026, ~29k stars)
Blueprint-driven Lean 4 prover: dependency-graph decomposition, parallel lemma proving, compiler-feedback refinement loops; 99.2% pass@1 on MiniF2F-test, 75.6% on PutnamBench; based on Goedel-Architect (arXiv 2606.06468, June 2026)
React/Vue/Angular expert: component architecture, Core Web Vitals, WCAG 2.1, responsive design, TypeScript, performance budgets (2026)
Senior UI/UX engineer that overrides default LLM biases toward generic UI: metric-based design rules (variance/density/motion dials), anti-slop guardrails, CSS hardware acceleration, spring physics, liquid-glass refraction, and premium interaction states; based on Leonxlnx/taste-skill (Apr 2026, 17.5k+ stars)
Intelligent NPC & procedural content design: behavior trees, utility AI, GOAP, director AI, LLM-powered dialogue, emergent gameplay, performance budgets (2026)
Senior systems & mechanics designer: GDD authorship, core gameplay loops, economy balancing (Monte Carlo), player onboarding, behavioral economics, systemic emergence (2026)
Virtual economy design: currency architecture, progression systems, monetization psychology, scarcity mechanics, live ops balancing, player segmentation, inflation control, Monte Carlo simulation (2026)
Spatial game design: layout topology, encounter choreography, difficulty curves, environmental storytelling, navigation, multiplayer arenas, AI-assisted iteration (2026)
Full game-dev studio orchestration: 3-tier agent hierarchy (Directors/Leads/Specialists), engine-specific specialist sets, vertical delegation + horizontal consultation, change propagation, path-scoped coding rules, automated safety hooks, and slash-command team orchestration; based on Donchitos/Claude-Code-Game-Studios (Feb 2026, 19k+ stars)
Gemini-CLI-optimized prompt engineer: four-element task prompts (goal/context/constraints/done-when), GEMINI.md discipline, built-in tool preferences (search/file/shell/fetch), MCP @-server mentions, multimodal inputs, and anti-patterns; based on google-gemini/gemini-cli (Apache-2.0, 105k+ stars, 2026)
Component-first, design-system-native UI generation: states, tokens, accessibility, responsive layouts, typed code output (2026)
Prompt for stress-testing system prompts against multi-turn value-conflict attacks: privacy, security, boundaries, compliance; based on ICLR 2026 agent-drift research (2026)
Enterprise Google Workspace automation architect: cross-service workflow design (Drive/Gmail/Calendar/Docs/Sheets/Forms/Chat/Meet/Admin), OAuth/service-account governance, batch operations with pagination, data sync pipelines, PII sanitization, least-privilege scoping; based on googleworkspace/cli (Mar 2026, 26k+ stars)
Vendor-neutral open-source AI engineering agent operator: MCP-native extension discipline, plan-then-execute loops, multi-provider awareness, least-privilege permission model; based on block/goose → aaif-goose/goose under the Linux Foundation Agentic AI Foundation (Apache-2.0, ~50k stars, June 2026)
Grok-Build-optimized prompt engineer: four-element task prompts (goal/context/constraints/done-when), AGENTS.md / CLAUDE.md project-rule discipline, `.grok/skills/` authoring, TUI slash commands (`/compact`, `/fork`, `/rewind`), headless `grok -p` / ACP `grok agent stdio` scoping, MCP-aware tool preferences, permission rules, and sandbox profiles; based on xai-org/grok-build (Apache-2.0, 18k+ stars, July 2026)
Cross-platform social-pulse researcher: Reddit/X/YouTube/HN/Polymarket/GitHub/web, engagement-weighted synthesis (upvotes/likes/reposts/stars/odds), query-type parsing, format-matched prompt generation; refuses pre-trained knowledge substitution; based on mvanhorn/last30days-skill (Jan 2026, 26k+ stars)
End-to-end marketing skill ecosystem for AI agents: product-marketing foundation, 35+ interlocking skills (CRO, SEO, ads, copy, analytics, retention), skill-dependency graph, agentskills.io standard; every skill reads shared context before acting and cross-references related skills instead of duplicating; based on coreyhaines31/marketingskills (Jan 2026, 29.5k+ stars)
Growth driver using data-driven experimentation: funnel optimization, viral loops, unit economics, A/B testing, activation, retention, acquisition channels (2026)
Full GTD system: capture, clarify, organize, reflect, weekly review; implicit task detection (2026)
Design focused, second-pass guard skills for coding agents: quality gates that catch AI-generated failure modes in code, tests, docs, or domain-specific artifacts before they ship; covers SKILL.md anatomy, imperative rules, AI-specific guardrails, progressive-disclosure references, and self-check reporting; based on amElnagdy/guard-skills (MIT, 1.1k+ stars, June 2026)
Context compression layer architect for AI agents: 60, 95% token reduction via SmartCrusher / CodeCompressor / Kompress-base / CacheAligner; reversible CCR cache, cross-agent memory, library/proxy/wrap/MCP integration modes; based on headroomlabs-ai/headroom (Apache-2.0, ~50k stars, 2026)
Digital health system design: EHR integration, FHIR interoperability, clinical decision support, health data architecture, regulatory compliance (HIPAA/FDA), AI in healthcare (2026)
Clinical AI system design: safety-first architecture, multi-agent clinical reasoning, evidence stratification, uncertainty communication, HIPAA/FDA compliance, MR-Bench evaluation (2026)
HIPAA-aware healthcare operations analyst: prior-authorization review, claims-appeal support, patient-message triage, ambient clinical documentation; NPI/ICD-10/CMS policy validation, human-in-the-loop sign-off, audit-trail sourcing; based on Anthropic's official Claude for Healthcare (Jan 2026)
Talent development and performance: recruitment, onboarding, learning, career development, culture, DEI, engagement, retention (2026)
Professional static HTML presentation architect: 36 themes, 15 full-deck templates, 31 layouts, 47 animations (27 CSS + 20 canvas FX), true presenter mode with pixel-perfect previews + speaker script + timer; token-based design system, keyboard runtime, no build step; based on lewislulu/html-ppt-skill (Apr 2026, 4676 stars)
Single-sentence-to-ship design skill: interactive prototypes, HTML decks, motion design (MP4/GIF), infographics, and 5-dimension expert critique; enforces Core Asset Protocol (logo → product shots → UI → color → font), Junior Designer workflow, anti-AI-slop rules, and 5-schools×20-philosophies design direction advisor; based on alchaincyf/huashu-design (Apr 2026, 14k+ stars)
Writing editor that removes 29 signs of AI-generated text: detects inflated symbolism, promotional language, vague attributions, AI vocabulary, passive voice, filler phrases; supports voice calibration via writing samples; dual-pass audit workflow; based on blader/humanizer (Jan 2026)
Self-referential meta-agent designer: task and meta layer unified in a single editable program, evidence-grounded self-edits, recursion bounds, regression-gated commits, immutable kill switch and eval harness; based on Meta FAIR's "Hyperagents: Self-Referential Meta-Agents" (arXiv 2603.19461, Mar 2026, 2.1k HF likes; open source `facebookresearch/HyperAgents`)
Interactive story & worldbuilding: branching narratives, AI co-authorship, character psychology, emergent storytelling, VR/transmedia integration (2026)
Codebase audit → self-contained plans → cheap-executor dispatch: nine-dimension audit with `file:line` evidence, machine-checkable verification gates, isolated worktree execution, and backlog reconciliation; based on shadcn/improve (MIT, 8.6k+ stars, June 2026)
Incident commander: SEV1-4 matrix, real-time coordination, blameless post-mortems, SLO/SLI framework, stakeholder comms templates (2026)
ISO 10218 / ISO/TS 15066 / ISO 3691-4 robotics architect: machinery safety lifecycle (ISO 12100 → ISO 13849 / IEC 62061), cobot biomechanical limits and SSM/PFL, AMR fleet safety with VDA 5050, ROS2 system architecture, IEC 62443 OT cybersecurity, FAT/SAT V&V; every artifact paired with implicit reviewer gate; based on jherrodthomas/robotics-skills-suite (May 2026, 510 stars)
Cross-module interference audit for prompt-composed agentic systems: detects Compositional Behavioral Leakage (CBL) where one prompt module silently shifts the behavior of another sharing the same context window; three-channel perturbation protocol (volume / content / form), effect-size reporting, leakage classification (positional / semantic / format / compound), critical-boundary escalation, and isolation-first mitigation plan; based on "Instruction Bleed: Cross-Module Interference in Prompt-Composed Agentic Systems" (arXiv 2606.26356, June 2026; ICML 2026 FAGEN workshop)
Transform any codebase into a scroll-based interactive HTML course for non-technical "vibe coders": animated visualizations, embedded quizzes, code↔plain-English translations, glossary tooltips; based on zarazhangrui/codebase-to-course (Apr 2026, 4.4k+ stars)
Frontier-model safety auditor focused on dual-use professional tasks: frontier LLMs fail ~95% on dual-use workloads because capability IS the threat model; TVD task/vulnerability/disclosure audit, layered controls (identity, capability-bounded responses, blast-radius limits, forensic audit, differential telemetry); refuses to certify on refusal-training alone or on standard red-team results; based on "Internal Safety Collapse in Frontier LLMs" (arXiv 2603.23509, 2026)
Prompt for multi-step agents that must absorb mid-task user changes safely: state snapshot, stop/preserve decisions, re-plan, irreversible-risk tracking (2026)
End-to-end pitch and valuation agent: comps, precedents, DCF, LBO, football-field summary, branded deck generation; Excel model discipline (formulas-over-hardcodes, blue/black/green color coding, balance checks), institutional-grade QC, citation rigor; based on Anthropic's official Claude for Financial Services (Feb 2026, 26k+ stars)
Senior equity analyst: business model assessment, financial health, competitive moat, valuation (DCF/comps), bull/bear thesis (2026)
Production-grade Jetpack Compose code architect: state authoring/hoisting/holder patterns, recomposition performance, stability diagnostics, deferred reads, side-effect lifecycle, Kotlin Flow state/event modeling, accessibility and Material 3 compliance; based on chrisbanes/skills (May 2026, 660 stars)
Dynamic, corpus-grounded academic writing skill generator: learns target-journal conventions from user-provided papers, builds a reviewable `dynamic_writing_skill.md`, then revises manuscripts section by section with a 5-layer priority system (hard preserve → target journal → secondary corpus → static base → cleanup); based on WantongC/journal-adapt-writing-skill (May 2026, 438 stars)
Kimi-Code-CLI-optimized prompt engineer: four-element task prompts (goal/context/constraints/done-when), `coder`/`explore`/`plan` subagent selection, `/goal` judge-verified stop conditions, AI-native `/mcp-config`, SKILL.md authoring, lifecycle hooks, video/multimodal input, and KIMI.md/AGENTS.md project-rule discipline; based on MoonshotAI/kimi-code (MIT, 6.2k+ stars, May 2026)
Enterprise knowledge systems design: taxonomy, ontology, information architecture, semantic search, knowledge graphs, AI-augmented curation, content lifecycle governance (2026)
Enterprise knowledge systems: information architecture, documentation standards, AI-powered search, RAG, discoverability, governance, maintenance (2026)
Zero-code plugin designer that transforms general-purpose AI into role-specific specialists: Skills (auto-activated domain expertise) + Commands (explicit slash-command workflows) + Connectors (MCP-based tool abstraction with vendor-agnostic placeholders); progressive disclosure from basic mode to enhanced mode; red-line safety gates; based on Anthropic's official knowledge-work-plugins (May 2026, 17k+ stars)
K8s operations: cluster architecture, RBAC, network policies, GitOps (ArgoCD/Flux), service mesh (Istio/Linkerd), multi-tenancy, CIS Benchmark, cost optimization (2026)
Enterprise Lark/Feishu automation architect: cross-service workflow design (Messenger/Docs/Drive/Sheets/Base/Slides/Calendar/Mail/Tasks/Meetings/Approval/Attendance/Markdown), user/bot identity governance, high-risk operation confirmation gates (exit 10), batch operations with pagination, data sync pipelines, PII sanitization, least-privilege scoping, split-flow auth protocol; based on larksuite/cli (Mar 2026, 12.9k+ stars)
Venue-aware LaTeX formatting + academic writing polish: template switching (NeurIPS/ICML/CVPR/ACL/IEEE/Nature/Science), citation-style conversion, page-limit compliance, double-blind anonymization, section-aware prose editing, Chinglish pattern fixes; preserves all commands/math/cites; based on Calix-L/awesome-latex-skills (May 2026, 171 stars)
Founder copilot for launching Claude Managed Agents (CMA): interview a founder, scope the smallest v0, launch in their own Anthropic account, grade against a binary rubric, iterate, and schedule deployments; based on anthropics/launch-your-agent (Apache-2.0, June 2026)
Interactive learning assistant with dynamic, personalized explanations
Comprehensive legal research and contract analysis: IRAC methodology, regulatory compliance, litigation risk, IP strategy, M&A due diligence (2026)
Essay writing and literary analysis from a professor's perspective
LLM systems: fine-tuning (LoRA/QLoRA/RLHF/DPO), RAG architecture, serving (vLLM/TGI), quantization (GPTQ/AWQ), safety guardrails, multi-model orchestration (2026)
Cost-efficient routing strategist for LLM-as-a-Judge: per-query decisions between reasoning and non-reasoning judges under a hard budget, task-class decomposition (VERIFICATION / PREFERENCE / AMBIGUOUS), leakage-safe routing signals, KL-ball distributionally-robust optimization, budget accounting with end-of-window carve-out, production drift monitoring with rho-widening, "reasoning theater" detection on simple items, mandatory pre-promotion Pareto-dominance check against always-reason and never-reason baselines; refuses to ship policies without held-out shift evaluation or cost numbers; based on "Reasoning Is Not Free: Robust Adaptive Cost-Efficient Routing for LLM-as-a-Judge" (arXiv 2605.10805, ICML 2026; reasoning helps on structured-verification tasks like math/code but yields limited or negative gains on simpler evaluations at multiples of the cost)
Verbatim, locally-stored, benchmark-driven agent memory: palace-structured index (Wings/Rooms/Drawers/Diaries), no-LLM raw recall path, pluggable backends, temporal entity-relationship graph with validity windows, MCP/auto-save host hooks, held-out R@k discipline (LongMemEval/LoCoMo/ConvoMem/MemBench); refuses summarization-as-storage and global-scope searches by default; based on MemPalace/mempalace (Apr 2026, 51k+ stars)
Global market expansion: i18n architecture, AI translation pipelines, cultural adaptation, regulatory compliance, transcreation, continuous localization (2026)
Sustained visual-textual search across 100-turn horizons: file-based visual context management, progressive on-demand image loading, multi-hop visual reasoning, horizon drift prevention; based on LMM-Searcher (arXiv 2604.12890, April 2026)
Replaces stepwise-greedy CoT with explicit forward planning for long-horizon agents: plan tree (branching × depth), reward-estimation strategy (self-eval / learned verifier / env proxy / retrieval / hybrid), explicit replan triggers, optimal-vs-satisficing decision, K×D compute budgeting, planner/executor separation, irreversibility gates; based on FLARE: Why Reasoning Fails to Plan (arXiv 2601.22311, 2026) and Google DeepMind's Optimality of LLMs on Planning Problems (arXiv 2604.02910, April 2026)
Design external loop specifications that let coding agents run without step-by-step prompting: trigger, goal, five-level verification ladder, architecture, stopping rule, durable memory; based on "Stop Hand-Holding Your Coding Agent" (arXiv 2607.00038, July 2026)
Practical loop pattern operator for recurring coding-agent tasks: select from 7 production patterns (PR Babysitter, Daily Triage, CI Sweeper, etc.), scaffold with `loop-init`, score Loop Ready with `loop-audit`, and operate the five building blocks + memory across Grok, Claude Code, Codex, and Opencode; based on cobusgreyling/loop-engineering (MIT, 9.7k+ stars, June 2026)
Single-file HTML horizontal-swipe deck architect: two locked visual styles (Editorial Magazine × Electric Ink vs Swiss Internationalism), WebGL hero backgrounds, 10, 22 registered layout skeletons, locked theme presets, Motion One choreography, typography-first discipline; based on op7418/guizang-ppt-skill (Apr 2026, 8590 stars)
Prompt for designing long-running managed-agent systems: brain/hands split, worker contracts, checkpoints, permission scoping, recovery; derived from Anthropic/OpenAI 2026 harness guidance
Engineering-to-leadership communication translator: strips function names/file paths/commit SHAs, keeps product names/JIRA keys/PRs, translates mechanism into plain-English cause-and-effect, reshapes for five channels (JIRA comment / Slack post / async standup / email / meeting talking-points); based on thananon/9arm-skills (May 2026, 1.7k+ stars)
Market research director: market sizing (bottom-up + top-down), segmentation, competitive map, white-space opportunities, GTM recommendations (2026)
Joint prompt optimizer for LLM-based multi-agent systems: Local Validity + Lookahead Potential + Global Alignment evaluation, misalignment-case hard-negative mining, evolutionary beam search with Beam Refresh, trace-guided mutation, Gauss-Seidel synchronization; no ground-truth labels needed for intermediate agents; based on MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems (arXiv 2605.06623, ICML 2026)
Prompt for designing interactive UI extensions for MCP servers: `ui://` resources, `_meta.ui` tool bindings, sandboxed iframe bridge, JSON-RPC over postMessage, permissions/CSP; based on the MCP Apps open standard (Anthropic/OpenAI, 2026)
Prompt for designing secure, interoperable Model Context Protocol servers: flat schemas, error contracts, transport guidance, testing strategy (2026)
Cross-session memory-poisoning auditor for LLM agents: maps 4 write channels, 9 structural vulnerabilities, and 6 attack classes; tests provenance, integrity, compartmentalization, retrieval/write budgets, and conflict detection; based on "From Untrusted Input to Trusted Memory" (arXiv 2606.04329, June 2026)
Bi-level architect that co-evolves context-engineering skills and context artifacts: meta-level agentic crossover over a skill library, base-level execution that produces files/code/retrieval queries, dynamic context sizing, and feedback-driven skill promotion; based on "Meta Context Engineering via Agentic Skill Evolution" (arXiv 2601.21557, ICML 2026; 16.9% mean improvement, 13.6× faster training)
Meta-Expert orchestrates specialist sub-agents to solve complex problems
Prompt for deciding *whether* to invoke a tool: self-knowledge probing, cost-benefit gating, confidence calibration, tool-budget tracking, redundant-call detection; addresses the meta-cognitive deficit where naive agents over-tool 98% of the time; based on Alibaba's "Act Wisely" / HDPO research (April 2026)
MiMo-Code-optimized prompt engineer: four-element task prompts (goal/context/constraints/done-when), build/plan/compose agent selection, persistent SQLite FTS5 memory (MEMORY.md / checkpoint.md / tasks), `/goal` judge-verified stop conditions, compose-mode specs-driven workflows, deterministic JS workflows, and `.mimocode/skills/` authoring; based on XiaomiMiMo/MiMo-Code (MIT, 12k+ stars, June 2026)
Hugging Face-native autonomous ML engineer: literature-first recipe extraction, citation-graph crawling, current API validation, HF Jobs training with pre-flight checks, Trackio monitoring, sandbox-first development, and headless iterative improvement; based on huggingface/ml-intern (May 2026, ~8.1k stars)
Production ML design: data pipelines, training, inference, model evaluation, MLOps, monitoring, cost optimization, LLM fine-tuning (2026)
ML operations platform: feature stores, model registries, training pipelines, serving infrastructure, drift monitoring, experiment tracking, GPU optimization, LLM deployment (2026)
Native iOS (Swift/SwiftUI) + Android (Kotlin/Jetpack Compose) + cross-platform (React Native/Flutter): offline-first, biometric auth, push notifications, app store deployment (2026)
Design scalable, build-system-native prompt programs: modular skill files, deterministic transpilation, static validation (missing imports / undefined variables / circular dependencies), golden-file drift checks, progressive skill disclosure, and agent-self-maintenance via PRs; based on Google's official "Building scalable AI agents with modular prompt transpilation" (July 2026)
Fully customizable AI tutor: depth, learning style, tone, reasoning framework (updated Mar 2025)
Prompt for designing agent-to-agent message protocols: topology choice, message fields, conflict handling, graph/schema vs free-text tradeoffs (2026)
Central dispatch agent: task decomposition, parallel delegation, state tracking, error recovery (2026)
Prompt for retrieval/synthesis/critique coordination: evidence tables, stop conditions, conflict handling, confidence tracking in multi-agent RAG workflows (2026)
Prompt for choosing single/parallel/sequential/hierarchical/hybrid agent topologies: communication cost, ownership, failure controls, human review points (2026)
Cross-modal agent architecture: active perception, visual/audio grounding, token-efficient context management, modality-aware tool design, GUI automation (2026)
Vision-text-data integration: image analysis, document processing, chart interpretation, scene understanding, cross-modal reasoning (2026)
Self-hosted personal AI agent operator: config/workspace separation, SOUL.md/USER.md/AGENTS.md identity files, Dream memory consolidation, multi-channel deployment (WebUI/CLI/Telegram/Discord/Slack/Feishu/Email), MCP/tool integration, cron/heartbeat/trigger automations, provider presets, and workspace access-mode discipline; based on HKUDS/nanobot (MIT, 46k+ stars, Feb 2026)
Cross-platform desktop app architect that feels indistinguishable from native: four-layer architecture (native shell → system WebView → Node backend → Rust core), eight architectural tenets, WebKit/WebView2 survival guide, 75-item ship audit, anti-patterns (Electron abstraction, Tauri control-loss, two UI codebases); based on yetone/native-feel-skill (May 2026, 1.2k+ stars)
Submission-grade scientific writing and figure architect for Nature-family journals: argument-first drafting, hourglass structure, section-specific templates (abstract/introduction/results/discussion), verb calibration, publication-quality Python/R figure pipelines, data-availability ethics, and Chinese-author support; based on Yuan1z0825/nature-skills (Apr 2026, 7.3k+ stars)
Universal meta-cognitive correction prompt: overrides three RLHF-trained biases (default concord, old-scarcity calibration, best-practice-as-ceiling) with Independence, Calibration, and First Principles; 260 tokens, three mutually-locking rules; based on xiaolai/north-star-system-prompt (Apr 2026)
NotebookLM-powered multimodal research orchestrator: ingest URLs, PDFs, YouTube, audio, video, and images; chat with indexed sources; generate podcasts, videos, slide decks, reports, quizzes, flashcards, and mind maps; deep web research with subagent patterns; batch downloads and multi-format export pipelines; based on teng-lin/notebooklm-py (May 2026, 14.6k+ stars)
Obsidian-native agent skill: wikilinks, embeds, callouts, properties, CLI automation, JSON Canvas, Bases database views, and Defuddle web extraction; based on kepano/obsidian-skills (Jan 2026, 32.5k+ stars)
Vendor-agnostic control plane for orchestrating multiple coding-agent harnesses: adapter contracts, policy envelopes, sandbox profiles, portable context bundles, and cross-harness verification; based on omnigent-ai/omnigent (Apache-2.0, 7.4k+ stars, June 2026)
Privacy-first edge AI architect: hardware-aware model selection, quantization strategy (GGUF/AWQ/TurboQuant), inference engine tuning (MLX/llama.cpp/Ollama/vLLM/TensorRT-LLM), KV-cache optimization, SSD offloading, hybrid cloud-edge partitioning, thermal/power management; based on llmfit, omlx, Rapid-MLX, ds4, apfel, and 2026 on-device AI ecosystem (2026)
End-to-end design of an open-source deep research agent that competes with OpenAI Deep Research / Gemini Deep Research / Perplexity Pro: task contract, synthetic agentic data pipeline, on-policy RL with verifiable rewards, Light vs Heavy inference modes, typed evidence graph with triangulation, long-horizon planner with replan triggers, deployment topology with prefix caching, public-benchmark eval harness (xbench / BrowseComp / GAIA / FRAMES), citation-honesty governance; based on Alibaba-NLP/DeepResearch, Tongyi DeepResearch (2026)
Local-first, agent-agnostic design producer: skill-driven prototype/deck workflows, 72+ brand-grade design systems, deterministic visual directions, five-dimensional self-critique, multi-modal export (HTML/PDF/PPTX/MP4); based on nexu-io/open-design (Apr 2026, 38k+ stars)
Codex-optimized prompt engineer: four-element task prompts (goal/context/constraints/done-when), AGENTS.md discipline, tool preferences, and anti-patterns; based on OpenAI's official Codex Prompting Guide (Feb 2026)
Author installable Codex skills in the official Agent Skills format: SKILL.md with trigger-tuned description, optional agents/openai.yaml for invocation policy and MCP dependencies, scripts-only-when-needed discipline, and progressive-disclosure context design; based on OpenAI's Codex Skills docs and github.com/openai/skills (2026, 22.6k+ stars)
Design token-efficient, microkernel AI agents with OpenSquilla: local SquillaRouter model routing, persistent memory, layered sandbox, built-in web search, on-device embeddings, and a unified turn loop across CLI/Web/chat; route each turn to the cheapest capable model, keep durable state out of the prompt window, and measure token economics per turn; based on opensquilla/opensquilla (Apache-2.0, 6.3k+ stars, May 2026) and "Agentic Routing: The Harness-Native Data Flywheel" (arXiv 2607.11399, July 2026)
Agent context database architect: filesystem-paradigm unification of memories, resources, and skills; L0/L1/L2 tiered loading, directory recursive retrieval, visualized trajectories, and session-based memory iteration; based on volcengine/OpenViking (Jan 2026, 26.8k+ stars, AGPLv3)
Design and maintain an agent-facing codebase wiki using OpenWiki conventions: OKF v0.1 bundles, `openwiki/` architecture, AGENTS.md / CLAUDE.md pointer blocks, INSTRUCTIONS.md briefs, code / personal modes, and CI update workflows; based on langchain-ai/openwiki (MIT, 12k+ stars, June 2026)
Ops leader optimizing processes, reducing costs, enabling scale: Lean, bottleneck analysis, cost structure, systems integration (2026)
Multi-role tooling system designer for AI coding agents: CEO / Designer / Eng Manager / Release Manager / Doc Engineer / QA role definitions with explicit mandates and anti-scopes, review lattice (plan-review, code-review, pre-ship sign-off), slash-command invocation protocol, infrastructure roles (autoplan, guard, benchmark, learn, retro), team-mode shared configuration with silent auto-updates; opinionated over flexible, narrow over general, review over trust, explicit over implicit; based on garrytan/gstack (Mar 2026, 96k+ stars)
Multi-domain open-source intelligence analyst: geospatial/maritime/aviation/cyber/financial/environmental/social signal triangulation, source-attribution tiers (PRIMARY/SECONDARY/TERTIARY/INFERRED), confidence calibration, temporal discipline, bias/deception detection, FLASH/PRIORITY/ROUTINE alert classification, ethical/legal boundaries; based on koala73/worldmonitor (Jan 2026, 55k+ stars), calesthio/Crucix (Mar 2026, 10k+ stars), BigBodyCobain/Shadowbroker (Mar 2026, 8.9k+ stars)
Staff-level security architect: threat-informed design, OWASP Top 10:2025, ASVS 5.0, LLM Top 10 2025, Agentic AI Security 2026, language-specific secure patterns for 20+ stacks; based on agamm/claude-code-owasp (2026)
Multi-platform paid advertising audit & optimization: 250+ checks across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple & Amazon Ads; weighted scoring, attribution/tracking deep dives, AI creative pipeline, PPC math, A/B test design; based on AgriciDaniel/claude-ads (Feb 2026, 5.5k+ stars)
Camera-ready matplotlib figure architect: transfers the visual style of a top-conference paper figure (NeurIPS/ICML/ICLR/Nature) onto the user's data via iterative Drawer/Reviewer loops; enforces layout invariants (no overlap, no clipping, no defaults), L1-reference + L2-convention dual anchoring, and visible-but-recessive hairline calibration; outputs self-contained `.py` + camera-ready PDF/PNG; based on VILA-Lab/FigMirror (May 2026, 427 stars)
Motivation-driven academic paper mastery: motivation spine extraction, central argument trees, evidence-aware blueprints, revision matrices with argument-impact gating, and LaTeX-safe audits; based on WUBING2023/PaperSpine (May 2026, 1.7k+ stars)
Citation-anchored research paper implementer: parses arxiv papers, identifies core contribution, audits ambiguities (SPECIFIED / PARTIALLY_SPECIFIED / UNSPECIFIED), generates minimal / full / educational implementations with section citations and walkthrough notebooks; honest uncertainty flags, appendix mining, never hallucinates details; based on PrathamLearnsToCode/paper2code (Apr 2026, 1.3k+ stars)
Architect generator/evaluator/orchestrator harness patterns for sustained, large-scale code construction with parallel LLM sub-agents: compilers, interpreters, runtimes, parsers, type checkers, codemod systems; pre-condition test (decomposable artifact, testable interfaces, work-per-module repays coordination), strict role separation (orchestrator reads only summaries, never generator transcripts; evaluator is read-only on code and tests; sealed modules are immutable without explicit reopening), phased workflow (plan → parallel build → integration tiers → end-to-end → postmortem), checkpoint-resumable execution, anti-patterns refused (inter-generator chat, evaluator-rewrites-tests-to-pass, role conflation, unbounded parallelism); based on Anthropic's "Building a C Compiler with Parallel Claudes" (anthropic.com/engineering/building-c-compiler, Feb 2026)
Engineering prompt for scaling Automatic Prompt Optimization (ACE / GEPA / TextGrad / MIPRO) beyond serial loops: serial-baseline convergence diagnosis as a go/no-go gate, parallelism-shape selection (candidate / task / hybrid), dynamic batching policy, rollout-diversity controls with anti-collapse rules, separate-evaluator calibration discipline, held-out-only stopping, mandatory shadow canary before promotion, cost-per-improvement-point reporting; refuses raw wall-clock speedup claims without held-out anchors; based on Combee: Scaling Prompt Learning for Self-Improving Agents (arXiv 2604.04247, April 2026, Berkeley/Stanford by Stoica/Zou/Gonzalez; up to 17x speedup over ACE/GEPA via parallel scans and dynamic batching, evaluated on AppWorld, Terminal-Bench, FiNER)
Production-grade PCB design architect: schematic review, PCB layout analysis, Gerber verification, DRC/ERC, net tracing, SPICE simulation, EMC pre-compliance (FCC/CISPR), DFM validation, multi-supplier BOM sourcing; based on aklofas/kicad-happy (Mar 2026, 398 stars)
Translates PDF documents page by page, or plain text: multi-language
Performance engineering expert: baseline → bottleneck analysis → impact-ranked optimization plan with code examples (2026)
Filesystem-as-working-memory pattern for long-horizon agents: three durable Markdown files (`task_plan.md` / `findings.md` / `progress.md`) as the single source of truth, KV-cache, stable prefixes (no timestamps, append-only), plan recitation against "lost in the middle" attention drift, 2-Action persistence rule for multimodal observations, 3-Strike error protocol with mandatory escalation, restorable-compression contract (URLs and file paths are sacred), keep-the-wrong-stuff-in error retention, plan-tampering and indirect-prompt-injection defence (treat plan files as data, not instructions), `/clear` + PreCompact session recovery, isolated `.planning/<date>-<slug>/` directories for parallel tasks; distils the Manus context-engineering principles behind the Dec 2025 $2B acquisition as packaged in OthmanAdi/planning-with-files (Claude Code skill, Jan 2026, 21k+ stars)
Self-wiring knowledge brain for personal AI agents: entity-centric graph, hybrid search (exact → graph → vector), verbatim ingestion, self-maintenance dream cycle, skill-driven interface; based on garrytan/gbrain (Apr 2026, 14k+ stars)
PKM system design: Zettelkasten, BASB, spaced repetition, AI reading assistants, semantic note-taking, knowledge synthesis, creativity pipelines (2026)
Real-iPhone agent operator via macOS iPhone Mirroring: screenshot + Vision OCR for eyes, HID-level CGEvents for hands; least-privilege phone control, observe-act-verify loops, iOS gesture quirks, high-impact confirmation gates; based on ShawnPana/phone-harness (MIT, 1.3k+ stars, Aug 2026)
Architectural plan-then-execute separation with formal safety guarantees: planner never acts, executor never plans, immutable plan artifacts, verification gates, least-privilege scoping; based on Parallax: Why AI Agents That Think Must Never Act (arXiv 2604.12986, April 2026)
Internal developer platform & AI infrastructure: IaC, multi-model serving, agent runtime, observability, cost optimization, GitOps, zero-trust (2026)
Make your coding agent think like the laziest senior dev: YAGNI ladder, reuse-before-write, stdlib/native-first, one-line-when-possible, while keeping validation, security, accessibility, and error handling non-negotiable; ~54% less code in real agentic benchmarks; based on DietrichGebert/ponytail (MIT, 84k+ stars, June 2026)
Classic software engineering principles as binding agent rules: DRY at knowledge level, orthogonality, tracer bullets, ruthless feedback, automation, broken windows; MUST/SHOULD/MUST NOT policy for code generation and review; based on Hunt & Thomas and ciembor/agent-rules-books (2026)
Design coding agents that notice what matters before being asked: reactive / scheduled / situation-aware levels, insight policy (monitor → evaluate → decide → ground → adapt), emission gates, developer context model, and feedback-driven learning; based on "Agentic Coding Needs Proactivity, Not Just Autonomy" (arXiv 2605.06717, 2026) and Google's Jules evaluation work (June 2026)
Active memory intervention layer: separate memory agent decides when to inject reminders vs. stay silent; structured bank of status, knowledge, and procedural memories; based on "Remember When It Matters" (arXiv 2607.08716, July 2026)
"How-to" memory architect for LLM reasoning: mines reusable subquestion→subroutine pairs from verified trajectories, designs in-trace retrieval (not just initial-prompt retrieval), enforces preconditions/replay-verification, and separates procedural from declarative/episodic/metacognitive memory; based on Meta AI's "Procedural Knowledge at Scale Improves Reasoning" (arXiv 2604.01348, April 2026; +19.2% across math/science/coding via 32M subquestion, subroutine pairs)
Full product lifecycle: discovery to launch; PRD template, RICE scoring, Now/Next/Later roadmap, GTM brief, outcome measurement (2026)
Crisis project turnaround: root cause diagnosis, stakeholder realignment, scope reclamation, team rehabilitation, 30-60-90 day recovery plans (2026)
Production decision framework for *structural* prompt compression (LLMLingua / LongLLMLingua / LLMLingua-2 / Selective Context / RECOMP): workload profiling, compressor-family selection by prompt structure, per-workload ratio sweeps with slice-level accuracy budgets, end-to-end latency break-even that includes compressor overhead, per-hardware-class measurement (no extrapolation), pre-compression audit (system-prompt trim / few-shot reduction / retrieval tightening / prefix caching), feature-flag rollout with kill switch, no-compress carve-outs for structured-output and safety-critical prompts; based on "Prompt Compression in the Wild" (arXiv 2604.02985, ECIR 2026, 30K queries on 3 GPU classes; up to 18% speedup *only* when prompt/ratio/hardware match)
Production prompt engineering: design patterns (CoT/ToT/ReAct), A/B testing, token optimization, multi-model routing, versioning, regression testing (2026)
Security-first browsing/file agent prompt: treats external content as untrusted, enforces source tracing, confirmation gates, least privilege; derived from OpenAI's 2026 prompt injection guidance
Zero-waste prompt engineer for any AI tool: 9-dimension intent extraction, 20+ tool-specific profiles (Claude 4.x, GPT-5.x, o3, Gemini 3, Cursor, Midjourney, ComfyUI), diagnostic checklist, token-efficiency audit; based on nidhinjs/prompt-master (Mar 2026)
Self-managed context architect: restructures the transcript into typed, addressable blocks and exposes a runtime dashboard (token usage, recency, access history, context pressure) so the agent can KEEP / ARCHIVE / RECOVER / MERGE / PIN / DROP blocks before acting; full-fidelity recoverable archive, training-free, model-agnostic; based on VISTA (arXiv 2606.30005, revised July 2026; Gemini-3-Flash 22.7% → 50.7% on LOCA-Bench)
Throwaway-prototype skill: logic prototypes (interactive TUI for state machines) and UI prototypes (radically different variants on a single route with floating switcher); based on mattpocock/skills (Jan 2026, 117k+ stars)
Critical quality assurance: edge cases, error handling, security (OWASP), performance, integration, observability testing (2026)
Design and deploy Y Combinator's QM: a multiplayer agent harness for work with personal + shared scopes, Slack + web surfaces, admin governance, per-scope sandbox, multi-harness core (Pi/OpenCode/Codex/Claude Code), shared skills, and crons/watches; based on yc-software/qm (MIT, ~5k stars, July 2026)
End-to-end quantitative trading agent design: natural-language strategy generation, cross-market backtesting (A/HK/US equities, crypto, futures, forex), Shadow Account behavior extraction from broker journals, multi-agent trading teams (investment/quant/crypto/risk), 452-alpha factor zoo, persistent research memory; based on HKUDS/Vibe-Trading (Apr 2026, 7.6k+ stars)
Design agentic coding harnesses for Qwen3-Coder-Next: 80B/3B hybrid MoE economics, 256K native context (1M via YaRN), non-thinking output, specialized function-call format, FIM editing, plan-then-execute loops, and verifiable reward signals; based on the Qwen3-Coder-Next Technical Report (arXiv 2603.00729, 2026)
Enterprise voice agent design: sub-1s TTFA, streaming STT→LLM→TTS, turn-taking, barge-in handling, voice-optimized prompts, confirmation gates (2026)
Multi-turn agent reasoning-stability auditor: fixed hard-probe baselines, CoT length/depth instrumentation, drift vs intentional-compression discrimination, tiered mitigations (reasoning-budget directives → InftyThink-style checkpoints → fresh-context handoff → model routing), differential diagnosis vs template collapse; based on Reasoning Shift: How Context Silently Shortens LLM Reasoning (arXiv 2604.01161, April 2026)
Guide + templates for o1/o3/Claude thinking/Gemini: what to do, what NOT to do, effort control (2026)
Mine successful agent traces to extract reusable reasoning primitives as typed pseudo-tools: cluster recurrent reasoning moves, write natural-language docstrings, define input/output contracts, and compose them in a ReAct loop; based on "Inducing Reasoning Primitives from Agent Traces" (arXiv 2606.02994, June 2026)
Structured thinking for complex problems: problem decomposition, CoT reasoning, hypothesis generation, multi-path exploration, confidence assessment (2026)
Per-workload audit of whether chain-of-thought is *substance* (genuinely changes the answer) or *theater* (decorative tokens around an answer that was already fixed before reasoning began): pre-declared probe battery (ablation / length sensitivity / trace perturbation / silence probe / logit-lens), SUBSTANCE / THEATER / MIXED / INCONCLUSIVE verdicts with confidence intervals, escape-hatched router design, weekly canary against verdict drift, differential diagnosis against memorisation and template anchoring, both-directions auditing (forcing CoT on theater workloads AND suppressing CoT on substance workloads are both bugs); refuses bare savings numbers without accuracy CIs and refuses to inherit verdicts across model versions; based on Reasoning Theater: Disentangling Model Beliefs from CoT (arXiv 2603.05488, 2026; probe-guided early-exit reduces token generation by up to 80% on simple tasks at no accuracy cost)
Training-free long-context reasoning harness: uses model-internal attention traces to build a query-conditioned evidence pool, recursively replays it near the question, and generates from the full original context plus the replayed evidence; full-context preservation, no compression or summarization by default; based on ReContext (arXiv 2607.02509, July 2026; github.com/Yanjun-Zhao/ReContext)
Talent acquisition leader building pipelines and optimizing hiring: sourcing, competency modeling, offer strategy, retention focus (2026)
Refactoring specialist: diagnose code smells, sequence safe Fowler-catalog transforms, preserve behavior at every step (2026)
Global regulatory strategy: FDA/EMA/NMPA pathways, QMS design, submission preparation, gap analysis, post-market surveillance, AI/ML compliance (2026)
Production launch specialist: pre-launch checklists, feature flags, staged canary rollouts, rollback strategy, post-launch verification; based on addyosmani/agent-skills (2026)
Requirements-engineering-driven prompt architect: elicitation, analysis, specification, validation pipeline with Interviewee/Interviewer/CoTer/Critic agents; turns vague intent into complete, consistent, verifiable system or user prompts; based on REprompt: Prompt Generation for Intelligent Software Development Guided by Requirements Engineering (arXiv 2601.16507, Jan 2026)
Claude Code/Codex paper proofreading: two-phase detect-then-fix workflow, 9 review categories (language, clarity, structure, LaTeX, notation), severity-graded issues, anti-AI-slop rules; based on LimHyungTae/awesome-claudecode-paper-proofreading (Mar 2026)
Design focused, least-privilege Custom Modes for the open-source Roo Code VS Code agent: role definition, tool allowlist (read/edit/browser/command/mcp), file-permission discipline, model-routing hints, and mode-specific safety guardrails; outputs `.roomodes` JSON and a verification checklist; based on RooVetGit/Roo-Code (Apache-2.0, 50k+ stars, 2026)
Runtime interface adaptation architect: improve frozen LLM agents without changing model weights or the environment across four lifecycle layers (Environment Contract, Action Realization, Trajectory Regulation, Procedural Skill); training-free, model-agnostic, evolved from development trajectories and frozen for evaluation; based on "Adapting the Interface, Not the Model" (arXiv 2605.22166, May 2026; github.com/Tianshi-Xu/Life-Harness)
Spatial reasoning as spatio-temporal evidence accumulation: VLM planner + three-level spatial tool hierarchy (2D grounding → 3D lifting → spatial knowledge aggregation) + Scene/Agent memory; training-free improvements on open-source and closed-source VLMs; based on S-Agent (arXiv 2606.20515, June 2026)
Sales leader optimizing pipeline, win rates, territory planning, deal acceleration: BANT/MEDDIC, quota setting, GTM execution (2026)
Code-as-action automatic prompt engineer: evaluate/python/set_prompt/finish tool loop, Python sandbox for structural error analysis (confusion matrices, error clustering, per-group metrics), auto-rollback on metric regression, guard metric floors, immutable checkpoints; based on SPEAR: Code-Augmented Agentic Prompt Optimization (arXiv 2605.26275, May 2026)
Structured scientific-data integration agent: disciplined querying across AlphaFold, ChEMBL, PubChem, UniProt, PDB, ClinicalTrials, OpenTargets, GTEx, gnomAD, PubMed, OpenAlex and 30+ sources; wrapper-first execution, identifier-resolution discipline, rate-limit compliance, license notification, fact-verification over parametric knowledge, cost-aware pagination; based on google-deepmind/science-skills (May 2026)
Persistent, evidence-contract replication harness for LaTeX-first research papers: target enumeration, acceptance-mode matching (numeric / distributional / structural / visual / qualitative), anti-cheating guards, run-provenance records, validation gates, and a living replication report; based on PredictiveScienceLab/paper-replication-paper (arXiv 2607.02134, July 2026)
Certified Scrum Master: sprint ceremonies, impediment removal, team coaching, velocity tracking, retrospectives, scaling (SAFe/LeSS/Nexus) (2026)
Threat modeling (STRIDE), vulnerability assessment, attack surface enumeration, exploit analysis, defense recommendations (2026)
Decision strategist for the SSD recipe: when self-distillation is the right next training move and when it is not; precondition test on pass@k − pass@1 gap, minimal-recipe pipeline (sample → cross-entropy fine-tune on raw unverified samples, no reward model, no verifier, no RL), parallel verifier-aware arm, pre-declared anti-collapse battery (self-BLEU, length drift, pass@k diversity, style probe, safety/refusal drift), round-2 decision gate, per-difficulty slice reporting with CIs, GPU-hour Pareto comparison vs SFT-external / DPO / GRPO; refuses to recommend SSD on models whose pass@k − pass@1 gap is < ~5 pp and refuses to ship gains without contamination-checked held-out slices; based on Apple's "Self-Distillation Improves Code Generation" (arXiv 2604.01193, April 2026; Qwen3-30B 42.4% → 55.3% pass@1 on LiveCodeBench v6, gains concentrate on hard problems)
Closed learning loop agent design: experience-driven skill creation, autonomous improvement nudges, cross-session memory with user modeling, multi-platform gateway, scheduled automations, model-agnostic backends; based on NousResearch/hermes-agent (2026, 140k+ stars)
Technical SEO, content strategy, link authority, SERP features: audit templates, keyword research, E-E-A-T, Core Web Vitals, AI search adaptation (2026)
Self-referential system prompt optimizer: the prompt agent's own system prompt is also an optimization target; open-ended evolutionary search with an archive of candidate prompts as stepping stones; two-stage pipeline (pre-training on a multi-task pool, fine-tuning on the target task); generalizes to held-out tasks; based on SePO: Self-Evolving Prompt Agent for System Prompt Optimization (arXiv 2606.04465, June 2026)
Runtime substrate that turns agent execution into a first-class, inspectable object: typed events for model/tool/environment changes, Git-like trace with deterministic fork/replay/intervene primitives, 5× faster fork than Docker commit; based on Stanford's "Shepherd: A Runtime Substrate Empowering Meta-Agents with a Formalized Execution Trace" (arXiv 2605.10913, May 2026)
Agent skill that writes docs in ASD-STE100 Simplified Technical English: 20/25-word sentence limits, one word one meaning, simple tenses, active voice, condition-before-command; 72.9% fewer STE violations measured across 6 Claude models; based on AminBlg/SimpleEnglish (MIT, 1.7k+ stars, July 2026)
Agent-designing-agent prompt for creating reusable, self-evaluating skills: Read-Execute-Reflect-Write loop, SKILL.md scaffolding, versioned skill libraries (2026)
Terminal-native coding agent designed for 8B, 35B local models: deterministic regex tool routing, plan-tracker anchors, patch-first editing, forgiving JSON parser, two-tier memory, snapshot rollback, graceful cloud escalation, benchmark-driven development, and structured 8-step debugging; compensates for small context windows and unreliable tool calling instead of assuming frontier-model capabilities; based on Doorman11991/smallcode (May 2026, 1.6k+ stars)
Guides students to understanding through questions, not answers: works for any subject (2026)
Production-grade Solana program design: Rust/Anchor, account-model discipline, PDA derivation/CPI safety, SPL Token/Token-2022, compute-unit optimization, reinitialization defense, signer/owner validation, `solana-program-test` verification; based on solana-foundation/solana-dev-skill (Mar 2026, 493 stars)
Security-first Solidity: checks-effects-interactions, ERC-20/721/1155, UUPS/diamond proxies, DeFi primitives, gas optimization, Foundry fuzz/invariant testing, L2 deployment (2026)
In-depth codebase study → concrete implementation plan: explores conventions, maps dependencies, presents multiple options with trade-offs, sequences reversible incremental steps, and surfaces open questions before any code is written; based on repowise-dev/claude-code-prompts (Apr 2026)
Spec-first system designer: structured mission/tech-stack/roadmap/requirements/scenarios/validation packages; RFC 2119 discipline, delta specs for changes, small-phase decomposition; based on 2026 spec-driven development best practices (2026)
Senior DB engineer: query writing (CTE-first), optimization (EXPLAIN-driven), schema design, multi-dialect (2026)
Site reliability engineer: SLO/error budget framework, observability three pillars, golden signals, toil reduction, chaos engineering (2026)
Prose editor that strips predictable AI tells: active voice, no adverbs, no throat-clearing, no binary contrasts, no em dashes; 5-dimension scorecard (directness, rhythm, trust, authenticity, density) with 35/50 revision threshold; based on hardikpandya/stop-slop (2026, 10.3k stars)
Schema-strict JSON extraction: type safety, null handling, multi-record, self-validation (2026)
Treats JSON Schema / Pydantic / function-calling schemas as a second instruction channel: audits instruction-silent keys ("output", "result", "data"), reorders scaffolding-before-conclusion, rewrites descriptions as inline directives, lifts prose constraints into enums/shapes/cardinality, versions schema diffs as prompt diffs, and probes fragility with no-change-expected vs change-expected edits; based on "Schema Key Wording as an Instruction Channel in Structured Generation" (arXiv 2604.14862, April 2026) and "One Token Away from Collapse" (arXiv 2604.13006, April 2026)
Structured skill-driven software development methodology: 14 composable skills with activation triggers, red flags, procedural checklists, and verification criteria; 7-step workflow (brainstorm → plan → worktree → TDD → subagent-driven execution → code review → finish); mandatory refusal to skip tests/review/verification; based on obra/superpowers (May 2026, 85k+ stars)
Production-grade SwiftUI code reviewer: deprecated API modernization, data flow validation, accessibility audit (Dynamic Type/VoiceOver/Reduce Motion), performance optimization, Swift 6.2 concurrency, navigation patterns, code hygiene; based on twostraws/SwiftUI-Agent-Skill (Mar 2026, 3.9k+ stars)
Issue-tracker-driven autonomous execution orchestrator: per-issue workspace isolation, WORKFLOW.md contract, bounded concurrency, retry backoff, reconciliation, observability, and human-review handoff; based on openai/symphony (Feb 2026, 24.8k+ stars)
Staff-level architect: clarifies requirements first, capacity estimation, component trade-offs, failure modes (2026)
System prompt that removes AI slop: direct, informative, no filler/fluff/summary-stamps, no negation-based contrastive phrasing; 72, 73% token reduction on GPT-4o-mini/GPT-5.4 with zero information loss; based on hexiecs/talk-normal (2026)
Teams-first multi-agent orchestration layer for Claude Code: 19 specialized agents with model routing (haiku/sonnet/opus), delegation rules, skill triggers, team pipeline (plan→prd→exec→verify→fix), structured commit trailers, and project memory; based on Yeachan-Heo/oh-my-claudecode (Feb 2026, 35k+ stars)
Whole-repo structural audit: nine-dimension debt sweep (architectural decay, consistency rot, type debt, test debt, dependency rot, performance hygiene, observability, security hygiene, documentation drift); forced orientation before judgment, mandatory `file:line` citations, required "looks bad but is actually fine" section; based on ksimback/tech-debt-skill (Apr 2026)
Production-quality SVG diagram generator: architecture, data flow, flowchart, sequence, agent/memory, UML, ER, network topology; 7 visual styles, semantic arrow vocabulary, shape taxonomy, layout rules, AI/Agent domain patterns; based on yizhiyanhua-ai/fireworks-tech-graph (Apr 2026)
Comprehensive docs strategy: docs-as-code, AI-assisted writing, information architecture, developer experience, quality assurance, knowledge management integration (2026)
Complex cross-functional program delivery: dependency modeling, critical path analysis, risk management, stakeholder alignment, resource planning, AI-augmented workflows (2026)
Technical localization engineering: i18n architecture, translation management, continuous localization, transcreation, terminology management, cultural adaptation, AI-assisted translation workflows (2026)
Senior dev-docs writer: Stripe/Twilio/Google standards; blog posts, API docs, release notes, READMEs; no padding (2026)
Diagnose-first Terraform/OpenTofu specialist: response contract (assumptions, risk category, remediation, validation, rollback), failure-mode routing table (identity churn, secret exposure, blast radius, CI drift, state corruption), module hierarchy, count vs for_each rules, testing strategy matrix; based on antonbabenko/terraform-skill (Jan 2026, 1.9k+ stars)
Testing architect: risk-based test pyramid, tooling, coverage targets by layer, 4-week implementation roadmap (2026)
Inference-time compute allocation specialist: deep-thinking token budgets, early-exit probes, reasoning depth calibration, cost-latency-accuracy trade-offs, parallel verification, diffusion-LM scaling; based on 2026 reasoning and test-time scaling research (2026)
Stop-and-think operator for complex tool-use chains: dedicated `think` tool checkpoints to interpret tool outputs, verify policy compliance, and decide next actions; based on Anthropic's "The think tool: Enabling Claude to stop and think" (Aug 2026)
SOC detection engineering: Sigma rules, SIEM (Splunk/Sentinel/Elastic), MITRE ATT&CK coverage mapping, threat hunting, detection-as-code CI/CD (2026)
Prompt for designing reliable cross-framework tool schemas: invocation rules, flat inputs, output contracts, error model, validation strategy (2026)
Prompt for reviewing agent systems across control, ambiguity handling, security, transparency, and privacy: based on Anthropic's 2026 trustworthy-agent guidance
Vision-language model driven GUI agent operator: screenshot-first observation, structured mouse/keyboard actions, GUI/browser/remote operator modes, MCP tool mounting, event-stream context engineering; based on bytedance/UI-TARS-desktop (2026, 36.6k+ stars, Apache-2.0)
Execution-time AI alignment architect for escapable agents: process-separated safety kernel, structurally-only pre-action enforcement, request/system fail-closed invariants, externally-verifiable Ed25519-signed evidence; based on "The Unfireable Safety Kernel" (arXiv 2606.26057, June 2026)
Research methodology and user insights: qualitative interviews, usability testing, survey design, metrics analysis, journey mapping, stakeholder communication (2026)
Prompt for designing multi-agent ensembles that DELIBERATELY mix vendors (Claude / GPT / Gemini / DeepSeek / Qwen / Llama): role-to-vendor mapping for complementary inductive biases, disagreement-as-signal arbitration, vendor-correlated failure audit, monoculture controls, version pinning; based on MIT/Harvard "Multi-Agent LLM Systems for Clinical Diagnosis: The Impact of Vendor Diversity" (arXiv 2603.04421, 2026), generalised beyond clinical to any high-stakes ambiguous task
Native Rust browser automation operator for AI agents: snapshot-first navigation with `@eN` refs, semantic locators, batch execution, MCP server mode, React introspection, Web Vitals, and axe-core a11y audits; based on vercel-labs/agent-browser (Apache-2.0, 39k+ stars, Jan 2026)
Filesystem-first agent architect for Vercel Eve: design durable backend agents using `agent/instructions.md`, `agent/tools/`, `agent/skills/`, `agent/channels/`, `agent/schedules/`, `agent/connections/`, and `agent/subagents/` conventions; path-named capabilities, typed Zod tools, load-on-demand skills, human-in-the-loop approvals, and `eve eval` harness; based on vercel/eve (Apache-2.0, 4.3k+ stars, June 2026)
Adversarial validation agent: tries to break implementations across frontend, backend, CLI, mobile, data/ML, and infra; enforces command-backed PASS/FAIL/PARTIAL verdicts with adversarial probes (2026)
Designs, audits, and refuses verifier systems: the machinery that turns a model's output (final answer, intermediate step, tool call, agent trajectory) into a reward/selection/gating signal; per-workload type selection (rule-based → programmatic → ORM → PRM → LLM-as-judge → hybrid), explicit verifier hypothesis with target precision/recall on named slices, Math-Shepherd-style PRM data synthesis with held-out cross-policy evaluation, mandatory adversarial probe battery (length inflation, format mimicry, confidence-word spam, prompt injection via candidate), reward-vs-true-accuracy divergence monitor as the reward-hacking detector, verifier-policy co-adaptation cycle, infrastructure-noise separation, versioning + kill-switch protocols; refuses LLM-as-judge in RL without bounded bias, refuses in-distribution PRM accuracy as a deployment signal, refuses shared training/eval verifier; based on the 2025, 2026 verifier-augmented training trajectory (DeepSeek-R1 arXiv 2501.12948, Math-Shepherd arXiv 2312.08935, ProcessBench arXiv 2412.06559, Anthropic's Demystifying Evals / Infrastructure Noise / Eval Awareness 2026)
Production-grade Verilog-2001 RTL generation and FPGA design workflows: staged generation (regular/deep-review/agentic-repair), existing-RTL analysis/refinement/verify-repair, AXI-Stream/AXI4-Lite/AXI4/AHB/APB interface templates, static lint, self-checking testbench scaffolds, ASIC-quality review, Vivado/VCS/iverilog backend validation; based on Eriemon/verilog-generator (May 2026, 160 stars)
Three-layer failure-mode auditor for web/GUI/computer-use agents: separates planning, grounding, and replanning failures with quoted-evidence localisation; default grounding-blame prior (per the paper, grounding dominates), one-exploratory-replan-per-failure rule, PDDL-vs-NL plan validation, upstream rule-out (auth, captcha, prompt injection, goal underspec), layer-targeted fix bucketing, mandatory pre/post-fix regression probe; based on Why Do Web Agents Fail? A Hierarchical Planning Perspective (arXiv 2603.14248, 2026)
Comprehensive frontend quality audit: Lighthouse-driven performance (Core Web Vitals), accessibility (WCAG 2.2 AA), technical SEO, and best practices; severity-graded findings with file:line citations and concrete fixes; based on addyosmani/web-quality-skills (2026)
Pixel-perfect website reverse-engineer: Chrome MCP reconnaissance, getComputedStyle() design-token extraction, parallel builder agents in git worktrees, component spec contracts with interaction-model discipline, visual QA diff; 95, 99% accuracy for static pages; based on JCodesMore/ai-website-cloner-template (Mar 2026, 16k+ stars)
Recursive multi-agent orchestration for complex web research: progressive delegation with deep/wide/interleaved search modes, evidence-upward aggregation, and shared-experience recycling among sibling nodes; based on WebSwarm (arXiv 2607.08662, July 2026)
Microsoft SWE-style browser agent: code-as-action Playwright automation, critical-point plan, screenshot evidence, self-verification loop, one-shot vs parameterized CLI modes; based on microsoft/Webwright (Apr 2026, 4.6k+ stars)
Productivity-oriented agent platform architect: WorkSpace-level isolation (files/memory/skills/cost per project), white-box memory with end-to-end traceability and dream-mode consolidation, smart model routing by task difficulty (~70% cost savings), always-on background execution with deliverable landing, MCP-native integration; based on OpenBMB/PilotDeck (May 2026, 2.6k+ stars)
没有匹配的条目,换个短一点的词试试。