supabase-postgres-best-practices
supabase/agent-skillsApplies Supabase's Postgres best practices to schema design, migrations, RLS policies, indexes, queries and performance tuning.
Most installed first. Copy the install command into a terminal; Claude Code loads the skill when a task needs it.
Applies Supabase's Postgres best practices to schema design, migrations, RLS policies, indexes, queries and performance tuning.
Gives the agent a Prisma Client API reference for queries, filters, relations, transactions, and raw SQL.
Gives the agent a reference for Prisma ORM 7 CLI commands such as init, generate, migrate, and db.
Guides the agent through implementing Prisma SQL driver adapters, covering transactions, savepoints, and errors.
Gets or reuses a Prisma Postgres database and connects the application to it.
Guides migrating a Prisma ORM project from v6 to v7, covering all breaking changes.
Explains upgrade options for Prisma MongoDB projects on v6 and how to move toward Prisma 8.
Guides Supabase tasks including auth, RLS, migrations and debugging, checked against current docs first.
Guides connections, migrations, branching, pooling and autoscaling for Neon Postgres databases.
Guides choosing and using Neon's Postgres, auth, object storage, functions, and AI gateway for app backends.
Builds Firebase SQL Connect PostgreSQL backends: schemas, secured queries, mutations and typed SDKs.
Sets up and queries Cloud Firestore, covering data modeling, indexes and SDK usage on each platform.
Sets up Prisma ORM or fixes its database connection, choosing the right version for new and existing apps.
Sets up, checks, or restores scheduled local snapshots of the claude-mem SQLite database.
Makes the agent check, run, and repair cognee database migrations, and author new revisions.
Writes SQL queries from plain-language requests for several dialects, using schema files or documentation as context.
Diagnoses slow PostgreSQL and MySQL queries via EXPLAIN ANALYZE, then tunes indexes, queries and config.
Guides ClickHouse table design, query optimization and analytics patterns for large datasets.
Guides safe Go database access with database/sql, sqlx or pgx: parameterized queries, transactions, pooling.
Sets the rules for writing RedAmon's Neo4j graph, including the tenant key every entity MERGE must carry.
Designs SQL and NoSQL schemas with normalization, indexing, constraints and migration guidance.
Gives PostGIS spatial table design guidance: geometry types, SRID, GiST indexes and query patterns.
Guides the agent through PostgreSQL table design: data types, constraints, indexes, JSONB and normalization.
Makes the agent scan a PostgreSQL database and rank tables that suit TimescaleDB hypertable conversion.
Makes the agent migrate PostgreSQL tables to TimescaleDB hypertables and validate the result.
Makes the agent set up pgvector for embedding storage, HNSW or IVFFlat indexes and semantic search tuning.
Umbrella PostgreSQL skill that routes the agent to guides for schema design, extensions, search and migrations.
Makes the agent plan PostgreSQL schema changes safely, checking lock levels, backfills and rollback.
Makes the agent combine BM25 keyword search with pgvector semantic search using reciprocal rank fusion.
Makes the agent read an unfamiliar PostgreSQL schema before answering data questions or writing SQL.
Makes the agent create TimescaleDB hypertables with compression, retention and indexes for time-series data.
Makes the agent check Room, SQL and repository code for migration, NULL, LIKE and delete-order traps.
Guides schema design, normalization, indexing, query tuning and migrations for SQL and NoSQL databases.
Designs schemas and migrations, tunes queries, and plans vector retrieval and database operations.
Guides the agent through DynamoDB table design, queries, indexes, capacity and performance fixes.
Adds or creates Dataverse tables in a Power Apps code app and generates TypeScript models and services.
Redis safety rules: use SCAN not KEYS, avoid FLUSH, set TTLs on keys, batch calls with pipelines.
Detects the migration framework, drafts schema migrations with rollback scripts, and reviews the risks.
Speeds up AgentDB vector search with quantization, HNSW indexing, caching and batch operations.
Diagnoses Qdrant issues by pulling current official guidance live from skills.qdrant.tech before answering.
Gives the agent Qdrant client SDK install commands, API reference links and a snippet search for code examples.
Helps pick a Qdrant deployment: local mode, Docker, self-hosted, Qdrant Cloud, or embedded Edge.
Guides building on the embedded Qdrant Edge shard, covering built-in features, sync patterns and snapshots.
Guides hash-tag key design and replica reads to avoid CROSSSLOT errors in Redis Cluster.
Guides building fast distributed FoundationDB layers in .NET, covering latency, contention and change feeds.
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