seo-audit
coreyhaines31/marketingskillsAudits a site's technical, on-page, and indexing SEO problems, then gives prioritized fixes.
Most installed first. Copy the install command into a terminal; Claude Code loads the skill when a task needs it.
Audits a site's technical, on-page, and indexing SEO problems, then gives prioritized fixes.
Writes or rewrites web page marketing copy, diagnosing the input first and avoiding AI tells.
Applies psychology and mental models like anchoring, social proof and scarcity to marketing decisions.
Plans what content to create and which topics to cover, including content pillars, topic clusters and calendars.
Optimizes content so AI search engines and assistants can extract, trust and cite it in their answers.
Plans and builds templated SEO pages at scale from data while avoiding thin content.
Edits existing marketing copy in focused passes, removing AI tells while keeping the core message.
Suggests SaaS marketing tactics from a library of 139 ideas, matched to stage and resources.
Writes and iterates ad headlines, copy and primary text for paid platforms, with testable hypotheses.
Researches competitor URLs and produces structured competitor profile documents from site and SEO data.
Finds conversion problems in marketing pages and forms and recommends prioritized, testable fixes.
Guides building and growing an online community to drive product growth and member loyalty.
Plans directory submissions for product launches and backlinks, favoring listings that bring real leads.
Plans and optimizes paid ad campaigns on Google, Meta, LinkedIn and other platforms.
Finds co-marketing partners and brainstorms joint campaign ideas for a SaaS company.
Creates competitor comparison and alternative pages for SEO, and audits existing competitor claims.
Audits App Store and Google Play listings for metadata, visuals and ratings, with prioritized fixes.
Runs the squirrel CLI audit on a website, maps issues to source files, applies fixes and re-audits.
Defines brand voice, visual identity, messaging, and asset rules, and checks content for consistency.
Explains marketing attribution models, reconciles conflicting conversion numbers, and helps build first-party attribution tracking.
Sets up, audits and verifies conversion tracking for ad and analytics platforms, firing only on confirmed success.
Audits a site's readiness for AI browsing agents and drafts fixes for robots.txt, llms.txt and WebMCP.
Runs a full-site SEO audit across crawled pages and returns a scored, prioritized report.
Analyzes a site's backlink profile, anchors, toxic links, competitor gaps and disavow candidates.
Clusters keywords by SERP overlap and designs hub-and-spoke content plans with internal link matrices.
Generates SEO comparison pages such as X vs Y, alternatives lists, feature matrices and schema markup.
Scores page content for usefulness, E-E-A-T, readability and AI citation readiness, plus draft cleanup.
Builds competitive SEO content briefs with word counts per section, keyword placement and gap scoring.
Pulls live SERP, keyword, backlink and on-page data through the DataForSEO MCP server.
Captures SEO baselines for key page elements and flags changes or regressions over time.
Analyzes product pages, product schema, Shopping visibility and keyword gaps for online stores.
Runs SEO work through the FLOW loop of Find, Leverage, Optimize and Win, using stage-specific AI prompts.
Audits a page for AI Overviews and answer engine citability, entity clarity, crawler access and structure.
Pulls Search Console, PageSpeed, CrUX and GA4 data to check indexing, Core Web Vitals and organic traffic.
Audits and generates hreflang tags, checking return links, x-default and language codes for multi-region sites.
Audits a website's local SEO signals, including Google Business Profile, NAP consistency, reviews and local schema.
Analyzes a business on Google Maps and other map platforms, covering geo-grid rank, profile audit and reviews.
Analyzes one supplied URL for on-page SEO, content, metadata, schema, images and performance.
Builds an SEO strategy with competitor analysis, content plan, architecture and a four-phase roadmap.
Guides adding, removing, or clearing audience members for Google ad products via the Data Manager API.
Guides sending offline conversions, lead conversions, and Google Analytics events to Google through the Data Manager API.
Diagnoses Google Ads conversion drops, low lead volume, and lost impression share by running GAQL queries via MCP.
Turns a project's latest release notes into a short WeChat group post and a verified-avatar long poster.
Runs GEO and SEO audits for AI search visibility, covering citability, crawler access, llms.txt and schema.
Orchestrates a full website GEO and SEO audit and returns a 0 to 100 score with a prioritized action plan.
Scans brand mentions across platforms AI models use and scores brand authority from 0 to 100.
Scores web passages on how easily AI systems can extract and cite them, with rewrite suggestions.
Compares two GEO audits over time and writes a client progress report on score changes and actions.
Rates page content on E-E-A-T and AI citability, scoring experience, expertise, trust and structure.
Checks robots.txt, meta tags and headers to show which AI crawlers can access the site and advises on rules.
Validates an existing llms.txt file or generates a new one by crawling the site for AI systems.
Audits a site against Google AI Overviews, ChatGPT, Perplexity, Gemini and Copilot, scoring each platform separately.
Combines GEO audit results into a client-facing report with scores, findings and prioritized actions.
Converts a GEO audit markdown report into a styled, client-ready PDF using pandoc and Chrome headless.
Audits Schema.org structured data on a page and generates validated JSON-LD markup for AI discoverability.
Runs a technical SEO audit covering crawlability, SSR, security, performance and AI crawler access.
Writes multiple versions of taglines, selling points and brand story from product and audience details.
Turns campaign goals and a budget into a Word campaign plan with run-of-show, materials, KPIs and a retrospective.
Audits Amazon Ads accounts across campaigns, targeting, search terms, budgets, ACOS and TACOS.
Audits Apple Ads tracking, campaign structure, Search Match, product pages, bids and policy compliance.
Audits cross-platform attribution, conversion definitions, MMP and GA4 data, and metric discrepancies.
Runs a sourced paid-ads audit across major platforms, producing scored JSON findings and prioritized fixes.
Plans paid-media budgets, bidding, pacing and allocation using break-even math and marginal return evidence.
Researches competitor ads, messaging and creative from public ad libraries and supplied auction data.
Drafts source-grounded campaign concepts, ad copy and creative briefs from a brand profile and objective.
Audits ad copy, images, video and hooks for fatigue, format fit, accessibility and policy.
Builds a public-safe brand and offer profile from an authorized website and operator input.
Read-only audit of Google Ads measurement, search terms, bidding, budgets, assets and policy.
Audits paid-ad landing pages for message match, speed, accessibility, forms, tracking and safe fetching.
Drafts a paid-ad campaign launch plan by default, and applies it only through gated, approved adapters.
Read-only audit of LinkedIn Ads tracking, audiences, lead gen, ABM, creative, bidding and budgets.
Calculates paid-media CPA, ROAS, MER, break-even, LTV:CAC and budget forecasts with stated assumptions.
Read-only audit of Meta Ads Pixel, attribution, creative fatigue, audiences, placements, budgets and policy.
Read-only audit of Microsoft Advertising UET, imports, keywords, creative, bidding, budgets and policy.
Monitors paid-ad pacing, delivery, performance, tracking, and creative fatigue without changing anything.
Drafts evidence-based paid-ad optimizations; applies changes only through an explicit, gated process.
Audits page titles, meta descriptions, canonical URLs, Open Graph, Twitter cards and JSON-LD, then fixes them.
Prepares Fanqie novel listing fields like title, blurb, category and tags, and saves them to a file.
Measures traffic from ChatGPT, Perplexity, Claude and Gemini in GA4 and finds which pages AI engines cite.
Profiles a domain's backlinks: referring domains, anchors, new and lost links, and a competitor link gap.
Finds keywords a competitor ranks for but your site does not, prioritized by volume and winnability.
Builds a content brief for a target keyword from the live SERP, competitor pages and your own search data.
Expands a seed topic into keyword ideas with Google volume, CPC and intent, then groups them into clusters.
Shows keyword and page position changes between two periods from real Search Console data, not estimates.
Finds ad spend on search terms you already rank for organically, and paid terms with no organic coverage.
Guides evaluating an acquisition channel by CAC, LTV, payback and scalability to scale, test or kill it.
Writes a clone's landing page, pricing and app store listing, and lints the listing against store limits.
Writes business application guides for art styles, covering industry scenarios, product matrices and layout pairings.
Calculates A/B test significance and sample sizes, runs segment breakdowns, and suggests next tests.
Designs valid A/B tests for ads, audiences, landing pages and bids, and calls winners only when significant.
Audits ad account structure against goals and budget, flagging fragmentation and merge opportunities.
Finds winning hooks, CTAs and angles in top ads and writes variants that change one or two elements.
Audits Google Ads extensions for gaps, weak performers and stale offers, then drafts replacements.
Reallocates multi-channel ad budget using marketing efficiency ratio and marginal ROAS to spot saturation.
Measures how often AI assistants mention your brand against rivals and lists citation gaps to close.
Flags sudden ad CPC, CVR, spend, impression or CTR shifts against a rolling baseline, with likely causes.
Compares campaign credit across last-click, first-click, linear, time-decay and data-driven attribution.
Finds overlapping Meta ad sets that compete in auctions and estimates the CPM cost of that overlap.
Recommends a Google Ads bid strategy for each campaign based on its conversion data and CPA trends.
Tracks how AI assistants describe your brand over time, flags wrong claims, and drafts correction plans.
Models how CPA, ROAS and conversions change at different ad budget levels using your account history.
Designs a consistent naming scheme for Google and Meta campaigns and ad sets, with a bulk-rename script.
Recommends how to split a total ad budget across Google and Meta channels using marginal ROAS and CPA.
Clusters the sources AI assistants cite for your category, scores them, and drafts outreach plans.
Turns raw Google and Meta campaign metrics into a plain-English executive summary for client reports.
Reviews competitor ads in Meta and Google libraries to map angles, formats, CTAs and gaps.
Analyzes a competitor landing page or screenshots for positioning, messaging, objections and CTAs.
Restructures existing pages with direct answers, tables, sourced stats and FAQ schema for AI citation.
Drafts LinkedIn comments or reposts for a post URL in the user's voice, then posts them after approval.
Builds a 7-day LinkedIn content plan with pillars, formats, hooks, CTAs, posting times and comment targets.
Plans a LinkedIn employee advocacy program with launch steps, brand guardrails, cadence targets and ROI metrics.
Audits each LinkedIn profile section and rewrites the headline, About, Experience and other weak parts.
Builds a cited social listening report on what people say about a brand, topic or niche across platforms.
Finds trending hashtags, sounds, posts and formats in a niche and turns them into content angles.
Audits a site's backlink profile, anchor text, referring domains and toxic links, then sets link-building priorities.
Compares your page with top-ranking competitor pages for a query and produces a brief of content and SEO gaps.
Builds a dated SEO content calendar from Search Console data, ranked by click potential.
Writes or improves SEO blog posts and landing pages by following the NotFair content workflow.
Audits online store SEO covering product and category pages, faceted navigation, canonicals and product schema.
Optimizes content to be cited in AI search answers from ChatGPT, Perplexity, Gemini and Google AI Overviews.
Plans, validates and safely publishes Google Ads assets such as sitelinks, callouts, snippets and PMax briefs.
Audits paid ad exports for wasted spend and measurement issues, returning a SHIP, FIX or BLOCK verdict.
Records and queries brand-owned social channel state, cadence, and UGC permissions in an append-only log.
Logs subscriber opt-ins and unsubscribes, applying suppression immediately to keep email sending lawful.
Checks paid ad conversion events, UTM tags and cross-platform dedup rules, producing a pre-launch checklist.
Maintains a creator roster with rates, usage rights, exclusivity, and performance baselines.
Audits and maintains canonical entity identity, sameAs links, and schema for knowledge graphs and AI systems.
Stores and queries a brand's versioned narrative canon, tagline and voice rules in an append-only log.
Logs marketing claims and live offers with exact wording, evidence sources, disclosures and review dates.
Audits and fixes technical SEO issues such as meta tags, crawl controls, canonicals and structured data.
Analyzes your past LinkedIn posts to find which ones worked, why, and what to stop doing.
Plans a week of LinkedIn posts and engagement from real events, with post types, angles and hook formulas.
Scores a LinkedIn profile against a 12-point rubric and rewrites the weakest parts, starting with the headline.
Sorts comments on the user's own LinkedIn post by value, then drafts replies to the ones worth answering.
Routes /market subcommands to audit, copy, email, ads, SEO, and brand marketing skills for a website.
Generates ad campaigns with copy variations, audience targeting, budgets, and creative specs from a URL.
Runs five parallel subagents on a site and writes a scored, prioritized marketing audit report.
Analyzes a brand's voice across its channels and writes tone guidelines for writers and marketers.
Identifies competitors by tier and writes a report on their marketing tactics, gaps, and positioning.
Scores existing page copy and writes before-and-after rewrites tailored to the detected business type.
Writes complete email sequences with subject lines, body copy, timing, and segmentation for a topic or URL.
Maps a site's conversion funnel, finds drop-off points, and ranks optimizations by estimated lift.
Runs a section-by-section conversion audit of a landing page and returns prioritized fixes.
Builds a week-by-week launch playbook with checklists, email sequences, social posts and metrics.
Scans all blog posts for quality, orphan pages, cannibalization, stale content and AI citation readiness.
Builds a content brief for one planned post with keywords, search intent, SERP gaps and a section plan.
Finds posts competing for the same keywords locally, or via paid DataForSEO after approval, with merge advice.
Plans SERP-based topic clusters and runs blog-write to produce interlinked articles with a cluster map.
Guides designing products and content to spread by word of mouth using the STEPPS framework.
Plans, runs and interprets A/B tests on App Store product page elements using Apple PPO or custom product pages.
Optimizes Google Play listing title, descriptions, keywords and ratings strategy using Play-specific indexing rules.
Builds a phased launch plan for a new app or major update, covering timeline, pre-launch and launch day.
Creates or updates a shared app marketing context document that other ASO skills read first.
Guides strategy for earning App Store editorial featuring, from editorial criteria to timing and assets.
Names a business, checks trademark and domain availability, and writes its voice, tagline and look.
Plans positioning, channels, a 30-day campaign and ad hooks, each message answering real buyer objections.
Uploads a creative and creates a paused Meta ad via the Marketing API, plus ad research.
Guides finding, testing and scaling acquisition channels for sustainable growth and retention.
Helps decide when and whom to hire for a growth team, and how to structure it around the user journey.
Checks content before publishing for fabricated stats, dead links, misattributed sources and brand claim mismatches.
Crawls a live website and scores its AI search discoverability with 16 deterministic checks and a content review.
Plans GEO content pages as plan.csv, mapping keyword and prompt clusters to pages and build order.
Researches queries people ask AI engines about a category and outputs a prioritized prompts.csv.
Audits a website codebase and edits its structured data, content and metadata so AI engines can cite it.
Finds Reddit threads and subreddits where a brand can help, plus real user search language for content.
Crawls a company's website and web sources to produce a brand_dna.md covering positioning, audience and voice.
Decides where to point SEO effort based on whether a site has ranking data or is starting cold.
Tracks brand mentions on Reddit, Google News, DuckDuckGo and YouTube with sentiment and crisis alerts.
Captures brand facts, voice rules and approved claims once, so other marketing tasks reuse them.
Guides App Store page keywords, copy, screenshots and review prompt timing for search and conversion.
Guides market positioning with the April Dunford framework, producing a positioning document and statement.
Makes several independent ad variants from one footage source, changing only the specified parts.
Runs an answer engine optimization loop so AI assistants recommend a product when buyers ask questions.
Plans, runs and optimizes paid ad campaigns on Google and Meta, including budgets, keywords and ROAS tracking.
Teaches the agent to manage Apple Ads accounts, campaigns, targeting and reports through the asc CLI.
Runs an offline App Store metadata audit and finds keyword gaps using Astro MCP data.
Guides creating, localizing and submitting App Store in-app events and their media with asc.
Guides the agent on GitHub SEO, README optimization, repository metadata and curated awesome lists.
Guides suggesting articles, edits and corrections on Grokipedia to gain AI search citations.
Guides the agent to write publish-ready LinkedIn post copy optimized for professional engagement.
Runs evidence-backed SEO audits of websites, blog posts and GitHub repos, with prioritized fixes.
Audits a site for SEO and AI citation visibility, implements fixes, and sets up a citable content pipeline.
Runs a 30-check SEO and GEO structural checklist against a live URL or code and reports the results.
Plans an A/B test by script: sample size per variant, run length and stopping rules.
Audits a brand's visibility and accuracy across six AI answer engines and scores each surface.
Plans content, entity, and schema work so AI answer engines cite and describe the brand accurately.
Guides App Store listing copy, screenshots, keywords, review replies and promotion strategy.
Guides you through defining brand colors, fonts and tone of voice, then writes the brand config files.
Optimizes Amazon backend search terms within the 250-byte limit, removing duplicates and ranking keywords by value.
Interprets Amazon Brand Analytics data such as search rank, market basket and item comparison to guide strategy.
Sets up an ad account plan on first run, then re-checks spend ledgers monthly and asks only for budget caps.
Reads yesterday's ad spend and results per account, campaign and creative into a daily ledger without changing anything.
Drafts ad build sheets and upload packets as local files, then publishes approved packages after release.
Plans A/B tests with a hypothesis, one variable, fixed sample size and guardrail metrics.
Plans and audits analytics tracking such as GA4 events, conversions, UTM parameters and tag manager setup.
Plans B2B brand marketing around thought leadership, trust signals, LinkedIn, and long sales cycles.
Defines how a parent brand, sub-brands, and product lines relate, and how new products get named.
Assesses an existing brand's identity, messaging, voice and positioning, then gives prioritized fixes.
Captures core brand facts (identity, audience, positioning, voice) into a shared file other brand skills read.
Builds a specific buyer persona covering pains, desires, failed attempts and emotional drivers.
Generates 25 ad and email headlines across curiosity, proof, urgency and other angles, grouped by type.
Builds a unique mechanism story: the failed alternatives, the new mechanism, and a memorable name.
Lists buyer objections such as price and trust, then answers each with logic, proof and emotion.
Assigns an audience's Schwartz awareness stage and gives matching messaging rules and angles.
Writes a 5-7 email onboarding or re-engagement sequence with subject lines, send timing, and ready-to-send copy.
Plans a product launch and 90-day growth with channel rankings and a budget of $0 to $500 a month.
Writes founder landing page copy section by section, from hero to CTA, with FAQ and SEO metadata.
Guides structuring content so AI engines can find and cite the brand in generated answers.
Writes high-converting landing page, email, social and ad copy using dopamine-driven hooks and direct-response tactics.
Maps how customers discover and choose a product across search, AI chatbots and social, by five awareness stages.
Walks through an ideal customer's pains, desires, inner monologue and language before writing copy.
Drafts Instagram captions with a strong opening hook, skimmable body and one CTA, optional publishing.
Plans a multi-slide Instagram carousel with hook, value and payoff slides, and drafts its text and caption.
Routes Instagram content tasks to nine skills for captions, carousels, hashtags, planning and profile audits.
Writes marketing copy for ads, landing pages and emails in two framework-based versions.
Audits a landing page against conversion principles and returns prioritized CRO fixes.
Writes two social posts offering a free resource for a comment keyword, in short and detailed formats.
Analyzes self-media post metrics against baselines and outputs review decisions and one next experiment.
Turns an account's positioning and goals into a content strategy with topic pools, columns and calendars.
Runs marketing tasks: site audits, copywriting, ad hooks, GEO/SEO, email, launches, pricing and analytics.
Audits Google Business Profile visibility with Maps grid rankings, keywords and competitors via a CLI.
Scores content against 80 CORE-EEAT items, runs veto checks and produces a fix plan before publishing.
Orchestrates the seven GEO pipeline stages on Codex CLI, from client intake through monthly re-audit.
Renders a self-contained HTML review page where non-technical clients fill brief slots and approve drafts.
Turns client results into case studies for proposals, social proof and sales conversations.
Scores a page on E-E-A-T signals and lists what to add to each dimension to strengthen it.
Checks the current featured snippet for a keyword and rewrites your section to match the format Google favors.
Fetches an underperforming page, checks SERP competitors, and rewrites the article with a human-sounding style.
Gives agents email marketing rules, compliance checks and hard send-safety gates before any campaign goes live.
Writes double-meaning marketing copy and poster concepts, offering several directions before the final drafts.
Guides the agent through a 7-phase plan to launch a content brand on YouTube, podcast, newsletter, or blog.
Guides beginner Douyin and Xiaohongshu creators to a one-line positioning, content scope and starter topics.
Builds positioning and a narrative that makes the developer the hero and a real trend the problem.
Finds benchmark accounts on Xiaohongshu and Douyin, breaks down hit posts, and drafts your next post.
Interviews the founder once and writes a founder brief file that other GTM skills read first.
Turns the founder brief and market research into a prioritized, stage-aware GTM roadmap file.
Defines a specific ideal customer profile and the adopter and buyer personas involved in a sale.
Explains reel analytics in plain language and suggests two actions, using only the numbers provided.
Builds evidence-based audience personas from supplied customer interviews, comments, reviews, or CRM notes.
Generates advertising campaign concepts with structured methods, scores them against set criteria, and refines them until they pass.
Captures a client's brand visuals, audience and goals into a brand style file for later content work.
Builds a month of social post ideas with formats, angles and visual direction for each slot.
Writes SEO pages built to rank in Google and be cited by AI answer engines, with a quality check.
Reads a brand's website to record its colors, fonts, logo, voice, audience and claims as facts.
Audits a company's own ads in the public library, mapping angles, formats and how long each ran.
Builds truthful marketing campaign kits with positioning, channel copy, artwork and banners from verified product facts.
Builds a Notion workspace for marketing campaign briefs, content calendars and production tracking.
Opens a 13-week SEO sprint tracker and walks through pre-launch, content and backlink tasks.
Guides content A/B tests: experiment design, metrics, sample size, statistics and common analysis pitfalls.
Writes Russian landing, service, about-me and press texts focused on the reader's value and next step.
Saves an account's positioning, voice and boundaries to memory so later content stays consistent.
Drafts, audits and publishes X posts and threads, publishing through the Publora API.
Runs an end-to-end GA4 and GTM tracking setup, from site analysis through publishing, phase by phase.
Audits videos, articles and social posts for platform policy risk and lists gaps before publishing.
Generates several video cover and title variants with a test plan and log sheet for short-video sales.
Writes B2B cold outreach emails and multichannel sequences, and advises on sending setup and reply handling.
Scores Amazon product ideas on demand, competition, margin, and entry barriers before the seller commits.
Scores target markets for cross-border expansion and compares fulfillment, tax, and payment options.
Tracks job applications by stage, sets follow-ups, runs weekly reviews and drafts messages without sending.
Generates a client-ready GEO service proposal in markdown from audit data, with three tiers and pricing.
Tracks GEO agency prospects through a sales pipeline, storing audits, notes, deal values and forecasts.
Builds a sourced battle card for one rival, labeling each claim as fact, inference or assumption.
Extracts product title, tiered pricing, SKUs, seller stats and attributes from 1688.com product pages.
Fetches full Airbnb listing details for a numeric listing ID through the site's internal GraphQL API.
Extracts ranked product cards from Amazon Best Sellers pages across regional Amazon sites, with pagination.
Extracts full product detail fields from an open Amazon product page, such as price, stars and bestseller rank.
Extracts product cards and pagination state from Amazon search and category pages across regional sites.
Extracts full item detail fields, including price, seller, specifics and identifiers, from an open eBay item page.
Extracts item cards and pagination state from any eBay search or category page URL.
Retrieves paginated eBay sold listings with final prices, dates and formats for resale price research.
Writes LinkedIn connection notes and follow-up DMs that get replies, based on a specific reason to reach out.
Sorts LinkedIn inbox messages into leads, recruiters, peers, asks and spam, and drafts replies worth sending.
Cuts product footage into a hook, pain, demo, proof, and call-to-action sales montage.
Guides diagnosing and fixing a leaking signup, checkout or onboarding flow with tested experiments.
Owns post-sale customer experience: support operations, escalation paths, customer success, and feedback into product.
Guides a customer from signature to go-live: agreed success criteria, implementation planning, data migration and training.
Runs post-sale account coverage, predictive health scores, renewal forecasting and usage-led expansion.
Handles customer escalations: severity from the customer's view, incident communication, executive involvement and repair.
Structures tech integrations, reseller channels, joint ventures and OEM deals, and diagnoses partnerships that stall.
Turns buyer objections into a stronger offer with bonuses, a guarantee and a value-equation score.
Guides JLCPCB PCB fabrication and assembly, covering BOM and CPL files, part types, design rules and ordering.
Guides PCBWay PCB fabrication and turnkey assembly, covering design rules, sourcing and ordering.
Routes /sales commands to prospect audits, outreach, proposals and other sales research tasks.
Detects the tools a prospect already uses and writes battle cards for selling against each competitor.
Maps a prospect's buying committee, personalization hooks and a multi-contact outreach plan.
Writes follow-up email sequences after a meeting, demo, proposal, or silence, each adding new value.
Builds an ideal customer profile from market research, company traits and qualification criteria.
Writes word-for-word responses to common sales objections for calls, meetings and emails.
Builds personalized cold email sequences with LinkedIn touchpoints, grounded in research on each prospect.
Prepares a meeting brief from a prospect's website, recent news and attendee backgrounds.
Drafts a client-ready sales proposal that frames problems, ROI-based pricing and a clear next step.
Runs parallel analyses of a prospect's site and produces a scored prospect report with an outreach email.
Builds a competitive pricing plan with price tiers, margin floors, and rules for responding to rivals.
Maps competitor prices to find market positions, pricing gaps, and signs of price sensitivity.
Designs a competitor price monitoring workflow with change alerts, promo detection, and price-war response.
Audits a store's conversion funnel, finds drop-off points, and ranks CRO fixes and experiments by priority.
Builds cold email sequences, lead lists and partnership outreach campaigns for B2B sales pipelines.
Analyzes an Amazon competitor listing by ASIN: copy, reviews, keywords and trends, saved as a report.
Runs a five-dimension Amazon category selection analysis and writes a Markdown market report.
Guides a multi-step Amazon product research workflow from data collection to competitor reviews and a decision report.
Analyzes Amazon product reviews to find pain points and return causes, then writes improvement advice and reply templates.
Runs Amazon market, competitor, keyword, traffic and ad diagnosis using Sif MCP data to support launch decisions.
Runs Amazon competitor, ad and keyword analysis scenarios through the Xiyou Insight MCP and outputs reports.
Turns product data into compliant e-commerce visual plans, storyboards, on-image copy and generation prompts.
Plans Amazon A+ Content modules, persuasive copy and image briefs to improve listing conversion.
Plans Amazon PPC campaigns across Sponsored Products, Brands and Display, with budget and ACoS tuning.
Uses the Blitz API to find decision-makers at a list of company domains and export them to CSV.
Writes cold email copy in confirmed stages: direction, subject lines, body, then final copy.
Generates 15 to 25 cold outbound campaign ideas with targeting, AI personalization and value propositions.
Walks new cold email users through setup checks, ICP, lead magnet and strategy into one campaign plan.
Writes personalized multi-touch LinkedIn and email outreach sequences based on prospect research.
Finds where a creator's audience stalls before paying and designs a compliant, small-scale offer path.
Turns a product URL or photo into a clean description, reference images and physical details.
Finds published emails, phone numbers and contact forms for named businesses, citing each source page.
Adds role, employer and profile details to a named person or a supplied list of existing leads.
Plans McDonald's party bookings: picks stores, estimates group-buy odds, compares costs, audits kids' meals.
Searches Amazon products, details, best sellers, and suggestions from the terminal using public endpoints.
Compares McDonald's China coupons, points and prices via the official MCP server to cut order cost.
Routes seller-side commercial property sales work to eight skills: intake, BOV, OM, buyer process and closing.
Plans the eight Amazon A+ Content modules, keeping product appearance consistent with the main image.
Makes the agent draft booking confirmations, change notices, reminders and friendly customer replies.
Queries 1688 bestseller billboard rankings to find hot-selling wholesale products for sourcing research.
Designs cancel flows, save offers, dunning and win-back tactics to reduce subscriber churn.
Guides customer research from interviews and surveys to review mining, then turns it into personas.
Designs A/B and multivariate tests with clear hypotheses, sample sizes and significance checks.
Refines a vague idea through divergent and convergent thinking into a one-page actionable concept.
Runs a pre-build risk review of demand, trust, monetization and distribution before implementing a product or feature.
Turns the latest call into owner-tagged next steps linked to Linear issues and posts them to Slack.
Drafts team OKRs with qualitative objectives and measurable key results aligned to company strategy.
Drafts a lean, decision-ready product requirements document using an eight-section template.
Writes job stories in the When, I want to, so I can format, with acceptance criteria for backlog items.
Rewrites a feature-based roadmap as outcome statements that show the customer and business impact of each initiative.
Runs a pre-mortem on a PRD or launch plan, sorting risks into tigers, paper tigers and elephants.
Reference guide to nine prioritization frameworks like RICE, ICE, Kano and MoSCoW, with formulas.
Turns tickets, PRDs or changelogs into user-facing notes grouped as features, improvements and fixes.
Plans a sprint by estimating capacity, picking and ordering stories, and flagging dependencies and risks.
Builds a power-interest stakeholder map and a communication plan for each group.
Attacks a plan's key assumptions, ranks failure modes, and gives the cheapest test and kill criteria.
Turns a vague feature idea into a requirements-only plan through dialogue, ready for planning.
Generates grounded improvement ideas from the repo, critiques all of them, and explains the survivors.
Pressure-tests a product idea with forcing questions and saves a design doc before any code is written.
Runs a horizontal and vertical deep research on a product or company and writes a PDF report.
Runs structured requirements workshops that produce user stories, EARS requirements, and acceptance criteria.
Turns a project idea into a Word business plan covering market, model, competition and financial projections.
Writes a job description with responsibilities, requirements and a resume screening rubric as a Word document.
Scans long-novel rankings on major platforms to spot trending genres and check their feasibility.
Scans short-story rankings from several platforms to find emotional trends and topic candidates.
Assesses whether product work is AI-first or AI-shaped and suggests which capability to build next.
Diagnoses PM-to-Director gaps using altitude and horizon, plus a cascading context map for vague direction.
Maps evidence-backed growth options across Ansoff quadrants with risk ratings and a suggested sequence.
Researches a company, industry or competitor set through seven lenses, outputting structured intel.
Builds a company brief from public sources covering executive quotes, product strategy and org context.
Runs a six-step competitive analysis workflow from landscape review to strategic direction.
Compares a prior competitive snapshot with new sources and reports only material changes, cited, with battle card flags.
Builds a cited competitive landscape snapshot with a comparison matrix and implications for a product decision.
Builds a customer journey map with stages, touchpoints, emotions, metrics, and owning teams for a persona.
Guides an adaptive workshop that maps a persona's journey stages, actions, emotions, and pain points.
Scans a product or AI idea across internal and external risk dimensions and ranks what to test or track first.
Coaches product managers through the move to Director, tailored to whether they are preparing, interviewing, or recalibrating.
Plans customer discovery interviews with clear goals, segments, constraints, and questions that avoid bias.
Guides a product team through a full discovery cycle, from problem hypothesis to validated solution.
Reads public reviews and forum posts, ranks user complaints, and drafts a fix plan and angle for a clone.
Guides interactive brainstorming that turns rough ideas into a reviewed RFC summary through clarifying questions.
Turns Jira tickets and Confluence docs into a frontend, backend and infra implementation plan.
Mines Reddit and social posts for pain points, objections and buyer language to validate a product idea.
Runs a multi-AI requirements scoping pass in the Define phase of a Double Diamond workflow.
Writes a proportional MVP product requirements document with scope, out-of-scope items, and acceptance criteria.
Researches an app idea or open product and technical questions before committing to a design.
Records and queries launch dates, stages, embargoes and outcomes in an append-only log.
Compares two to five options on user-weighted criteria in an editable table, then gives a recommendation.
Interviews the user for a standup update, pulling GitHub, Jira and session history, then writes Markdown.
Guides lean product scoping, six-week cycles and betting with 37signals principles like building less.
Guides finding uncontested market space with value innovation and the Four Actions Framework.
Guides launching network products by seeding one small, self-sustaining network at a time.
Guides a weekly customer discovery cadence using opportunity solution trees and assumption testing.
Guides long-horizon choices on markets, build-buy-partner moves and capital allocation.
Judges whether and how to enter a new market, sizing demand bottom-up and setting stop criteria.
Guides allocating capital and attention across business lines and products: fund, hold, harvest, or exit on evidence.
Builds scenarios from key uncertainties and stress-tests plans against them instead of forecasting one future.
Stress-tests a business idea through three framework-based review lenses that each vote fund, conditional or pass.
Maps direct and indirect competitors from public sources, with linked prices, positioning and complaints.
Runs a simulated panel of buyer sub-agents to estimate buy rates, objections and price reactions.
Builds a dated launch plan: a cheap pre-launch test, countdown, launch-day run sheet and 30-day review.
Maps daily operations, suppliers, staffing, permits and risks, and feeds real costs back to the CFO.
The agent frames needs around the progress users hire a product for, then ranks by outcome.
Clones competitor repositories and produces code-level comparisons with file and commit citations.
Guides building functional product prototypes from text or mockups with AI coding tools, then validating them.
Guides deciding where AI fits a product, choosing RAG or fine-tuning, and scaling agent autonomy safely.
Helps group user feedback into themes, check how representative it is, and plan internal product dogfooding.
Helps assess product management fit and pick a route in, such as internal transfer, APM programs or startups.
Produces a deep seven-day review by combining GitHub, Linear, Slack and PostHog data into one report.
Creates user stories in Linear, GitHub Issues or Jira after checking the trackers for duplicates.
Scans HN, V2EX, RSS and web search for keywords, then builds a daily industry intelligence briefing.
Researches competitors' products, pricing, customer sentiment and growth signals into battle cards and a feature matrix.
Walks through validating and planning a startup idea, from market research to financial projections and experiments.
Builds investor pitch scripts in several lengths, with Q&A prep, a scoring rubric and roleplay practice.
Designs a questionnaire-style app onboarding flow modeled on high-converting subscription apps.
Asks one question at a time to turn a vague idea into clear goals and constraints before any spec is written.
Uses Socratic questioning to find why a business is stuck, before offering any solutions.
Finds and validates business ideas through market gap analysis and competitor benchmarking.
Runs four reviewer personas on a business plan, then surfaces only the disagreements and taste calls.
Plans an MVP build from a PRD as a full development plan or a lean build spec, using prompt files.
Guides an interview to define the smallest first version worth building, starting from a PRD.
Interviews the owner about a product idea, then drafts a Product Requirements Document.
Plan a user research questionnaire, or turn collected responses into evidence-linked input for a PRD.
Turn a PRD into UX specs covering screens, user flows and interaction patterns through a guided interview.
Applies a 134-principle playbook to SaaS conversion, onboarding, pricing, churn and positioning decisions.
Drafts an executive memo for senior leaders that separates evidence, risks and investment decisions.
Clarifies a new customer brief, desired outcome, constraints and evidence gaps before kickoff.
Tests a new business idea through a structured framework and outputs a brief recommending build, sleep, or pass.
Defines a testable hypothesis with success metrics and validation approach before designing any experiment.
Creates a Jobs to be Done canvas covering the functional, emotional and social sides of a customer's job.
Builds an opportunity solution tree linking an outcome to customer opportunities and candidate solutions.
Scores a list of features with RICE, ICE, MoSCoW, weighted scoring and Kano, then compares the rankings.
Writes a problem statement with user impact, business context and success criteria for a new initiative.
Researches 5-8 real competitors and builds a sourced feature matrix, positioning gaps, and threat ranking.
Researches a competitor on the web for verified metrics, leverage points and likely next moves.
Proposes three go-to-market strategies matched to a product's stage, market and channels.
Guides a complete beginner from app idea to MVP plan, then coaches them through Git, deploy and code cleanup.
Acts as a Scrum coach for sprint analysis, backlog refinement, impediments and agile scaling.
Collects public job postings matched to your resume into a searchable, deduplicated HTML report.
Searches LinkedIn Jobs from a seed JD and your resume, then ranks deduplicated postings into a shortlist.
Guides business strategy, pricing, vendor choice, unit economics and go-to-market analysis.
Plans construction firm capacity: forecasts staffing, finds gaps, and supports go/no-go bid decisions.
Evaluates an AI agent product's business model, pricing and unit economics and outputs a structured canvas.
Runs a technical advisory board of target users for recurring interviews that shape messaging and roadmap.
Turns PRD.md into FEATURES.md with permanent IDs, MoSCoW priorities and acceptance criteria.
Makes the agent a strategy coach that picks one focus, the main constraint and a short-cycle commitment.
Writes a design system adoption report covering coverage, team reach, actual adoption and at-risk teams.
Turns existing audit findings into sprint-ready tickets with estimates, acceptance criteria and phases.
Structures project briefings and pitches around five parts: hook, context, proposal, evidence and ask.
Gives the agent a product manager's view on metrics, PRD reviews, roadmaps, discovery and growth.
Runs the PRD readiness scorer and reports a PASS, WARN or BLOCK verdict before a stage advance.
Guides an iOS App Store research pipeline from niche discovery to scored opportunities and MVP PRDs.
Guides metaphor-driven naming for products, brands and projects, with domain and registry checks.
Builds business plans, pitch decks and incubator applications from placeholders, without inventing facts.
Queries and compares China, Hong Kong and US market data through Wind MCP tools, answering only from returned results.
Calculates financial ratios such as ROE, margins, liquidity and valuation multiples from statement data.
Builds DCF valuations, sensitivity tables, Monte Carlo runs and scenario plans for investment analysis.
Draft Chinese invention patent disclosures and DOCX application packages grounded in source papers.
Writes accounting, FP&A, audit and treasury resumes with clear financial scope and accurate credentials.
Decodes job offer terms, benchmarks pay, and drafts a counteroffer email and call script for rehearsal.
Drafts patent claims for an invention from a disclosure, with reviewer checks on claim quality.
Turns a business plan into a budget Excel workbook with monthly spread and a separate assumptions sheet.
Drafts a Word contract with a pre-signing risk checklist and a reminder to have a lawyer review it.
Turns receipts into an expense claim workbook that flags missing receipts, over-limit items and duplicates.
Analyses three financial statements with profitability, solvency, efficiency and cash-flow ratios in a Word report.
Builds an invoicing and tax checklist for a transaction, leaving rates as placeholders and advising professional review.
Drafts employment contracts or offer letters as Word files, with a signing checklist.
Builds a 10-slide investor pitch deck covering problem, market size, traction and the funding ask.
Diagnoses SaaS health across growth, retention, economics and efficiency, then ranks fixes by urgency.
Researches tech investment themes through supply-chain bottlenecks, mainly A-shares, citing dated evidence.
Estimate a public company's value with DCF, peer multiples and SOTP, with sensitivity and scenario tables.
Brief a stock before earnings from Yahoo Finance: consensus, beat history, analyst ratings and watch points.
Analyze a past earnings report from Yahoo Finance data: EPS surprise, revenue trends and price reaction.
Analyzes analyst EPS and revenue estimates, revisions, dispersion and growth using yfinance data.
Query Fintel's read-only API for short interest, borrow rates, 13F holders, insider trades and analyst data.
Fetch live Strait of Hormuz status from the monitor dashboard: transits, insurance, oil impact and trade.
Pull TradingView technical analysis, scans, futures, options and quotes through a bundled MCP server.
Read the local TradingView desktop app for quotes, options chains, screeners, alerts, watchlists and charts.
Guides systematic trading backtests with robustness tests, slippage modeling and bias checks.
Reads S&P 500 breadth charts or fetched CSV data to assess market health and positioning.
Builds Minervini-style breakout trade plans from VCP screener output with risk sizing and order templates.
Screens US stocks with William O'Neil's CANSLIM method and ranks them by composite score.
Combines three contrarian pipeline verdicts into one fail-closed setup status, fully offline.
Finds crowded speculative positioning in CFTC futures markets from COT data using COT index extremes.
Screens dividend growth stocks with 12%+ dividend growth that have pulled back to RSI 40 or below.
Measures historical downtrend lengths by sector and market cap and renders interactive HTML histograms.
Sets price, stop, target and market-open alerts that ring once, using free delayed quotes.
Reads SEC EDGAR filings and summarizes quarterly revenue, margins and EPS against the prior year.
Places approved orders at Alpaca only after your explicit yes, paper trading by default.
Sizes share count from max loss, position cap and cash, and writes a bracket order without placing it.
Watches 1- or 5-minute bars and reports the bar that closes above the opening range or a set level.
Sets a stop and a target before entry, using opening-range midpoint or ATR, and rejects invalid levels.
Lists new Yahoo headlines and SEC 8-K filings for watched tickers, tagged by type with the day's move.
Tracks House members' stock trade filings and turns each PDF report into structured rows.
Checks day-trade orders against stop, loss and daily limits, printing PASS or BLOCK before any broker call.
Scans US-listed stocks for daily and opening-range breakout setups and writes a watchlist file.
Reviews financial documents against FINRA 2210 for required disclosures, misleading claims and balance.
Checks documents and processes against FINRA, SEC, Fed and CFPB rules and ranks the compliance gaps found.
Compares two local JSON research records and reports changes in facts, scores and judgments.
Runs a French statutory audit of annual accounts in seven NEP phases and issues a structured opinion.
Guides French bookkeeping, VAT, corporate tax, year-end closing and e-invoicing with compliance checks.
Simulates a French tax audit of a company's books and flags likely reassessment risks with legal basis.
Advises French individuals on income tax, rental income, investments and equity, with step-by-step math.
Assists with French real estate, succession, donation and company law, including notary fee calculations.
Manages French condominium administration: accounts, general meetings, fund calls, works and debt recovery.
Guides corporate development: deal thesis, target screening, valuation framing, diligence and integration planning.
Computes technical indicators such as RSI, MACD and Bollinger Bands for stock and ETF tickers.
Builds unit economics, break-even and month-by-month year-one projections from checkable inputs.
Compiles the founder pack into one business plan with a computed verdict and a partner-ready summary.
Compares two contract versions or two contracts side by side, tracking changes, favorability and risk.
Drafts counter-proposals for unfavorable clauses with replacement wording, talking points and an email.
Drafts a customized NDA for specific parties and purpose, with plain English notes on each section.
Routes the user to 14 legal skills for contract review, drafting and compliance, with a not-legal-advice note.
Makes the agent draft ten business agreement types, such as SOWs, MSAs and licenses, with plain-English notes.
Scans a website and scores its compliance gaps across privacy and consumer law frameworks, with fixes.
Reviews a contract from the freelancer's side, flagging misclassification and payment traps with a fairness score.
Scans a website's data collection and generates a GDPR and CCPA privacy policy matching its actual practices.
Finds clauses a contract should contain but lacks, rating urgency and providing insertable language.
Translates each contract clause into plain English and flags confusing or misleading legal wording.
Answers in fund manager Zheng Xi's voice with his public quotes and applies his investment framework.
Guides building a business continuity plan with impact analysis, recovery procedures and BCP testing.
Calculates financial ratios for revenue, costs and profit, and writes structured analysis reports.
Generates human-readable usage terms and a machine-readable manifest for a personal data package.
Tracks revenue, MRR and unit economics, manages expenses and optimizes pricing from revenue data.
Advises on CCPA and CPRA applicability, consumer rights, privacy notices, and compliance gaps for California.
Advises on EU CSRD scope, ESRS standards, double materiality assessment, and sustainability reporting duties.
Advises EU financial entities on DORA ICT risk management, incident reporting, third-party risk, and testing duties.
Advises on India DPDP Act 2023 duties covering consent, notices, data principal rights, breach reporting, and transfers.
Advises on US export controls: ECCN classification, license exceptions, and restricted party screening.
Advises on EU AI Act compliance: risk tiers, banned practices, provider duties, GPAI rules and deadlines.
Advises on EU Cyber Resilience Act compliance: product classes, conformity, SBOM and vulnerability reporting.
Builds an evidence-backed business case with costs, benefits, risks and explicit assumptions.
Rebuilds a famous investor's SEC 13F holdings into portfolio weights and shows changes since last quarter.
Guides Indian ITR filing for FY 2025-26 and FY 2026-27 planning, with scripts doing all tax math.
Calls the TradingAgents API to analyze A-shares with 15 AI analysts and return buy, sell or hold advice.
Runs a monthly company cash close: reconciles finance data, forecasts cash and writes the leadership report.
Checks startup fundraising readiness, sizes the round, and plans a 12-week raise with investor targets.
Guides A-share market data fetching via AKShare and technical or fundamental analysis for research only.
Routes to a privacy and terms generator for Korea, EU, US, or Korea+EU, then starts its interview.
Generates GDPR privacy notice, terms, consent modal and cookie banner for EU-facing services in English.
Generates paired Korean (PIPA) and English (GDPR) privacy policies and terms, with language switch links in the footer.
Generates paired Korean (PIPA) and Japanese (APPI) privacy policies and terms, with language switch links in the footer.
Generates a Japanese APPI privacy policy, terms, consent modal and cookie banner for Japan-facing Next.js sites.
Maps a sector's supply chain to find bottleneck links, then screens small-cap stocks in those links across A-share, HK and US markets.
Runs a GDPR and CCPA compliance review of data handling, consent, and licensing, reporting findings first.
Checks audit evidence for completeness, timeliness, relevance and authenticity against control needs.
Writes audit findings in condition, criteria, cause and effect format, with remediation advice.
Keeps agreement scope and cited contracts in PROJECT.md, recording amendments without overwriting prior agreements.
Fetches upcoming earnings dates, market timing and EPS estimates for one or more stock tickers.
Calculates option Greeks and implied volatility with Black-Scholes from spot, strike, expiry and price.
Reads account summary from a local Interactive Brokers TWS or Gateway session: cash, buying power, value.
Builds a tactical collar report to protect PMCC positions through earnings using a local IB session.
Checks construction AI systems against EU AI Act risk tiers and documents transparency and human oversight.
Interactively determines which Japanese tax returns (income, consumption, resident tax) the user must file.
Lists which Japanese tax filing patterns the shinkoku tool supports, its known limits, and where to refer others.
Guides computing Japanese consumption tax and choosing among the 2-wari, simplified and standard methods.
Checks whether bookkeeping data meets Japan's qualified electronic ledger rules and reports any gaps.
Gives a bootstrapped company CFO-style frameworks for runway, unit economics, hiring ROI and forecasting.
Queries A-share quotes, candles, financials, news, sectors and market details through bundled scripts.
Runs an A-share paper trading service with accounts, limit and market orders, and simple backtests.
Produces buy candidates and exit signals from a trend-pullback strategy on liquid A-share stocks.
Gives A-share mainboard buy/sell reference signals from trend pullbacks and batch quotes; no orders placed.
Guides A-share MACD bottom-divergence and second golden cross analysis into tiered entry, stop and risk rules.
Runs the pre-send checklist and single send for one approved Hyperliquid order, then reconciles it.
Contains and reconciles Hyperliquid incidents such as unknown send results, unexpected fills or outages.
Runs read-only desk briefs, book checks, and price or funding watches that alert but never send orders.
Journals desk activity and reviews trades from exchange records, judging process apart from outcome.
Checks patent applications against EPC Articles 83 and 84 and Rules 42 to 49 for formalities.
Applies ISO 24495-2 plain-language rules to legal text such as contracts, licences and compliance wording.
Analyzes and drafts Polish B2B, IP and IT contracts, with risk audits and clause checks under Polish law.
Routes multifamily asset-management tasks to nine skills covering budgets, variance, collections and reviews.
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