Postgres
Use this skill for any PostgreSQL database work — table design, indexing, data types, constraints…
by timescale · Apache-2.0
The skill
Use this skill for any PostgreSQL database work — table design, indexing, data types, constraints, extensions (pgvector, PostGIS, TimescaleDB), search, and migrations. **Trigger when user asks to:** - Explore an existing PostgreSQL database to understand its objects and relationships - Design or modify PostgreSQL tables, schemas, or data models - Choose data types, constraints, indexes, or partitioning strategies - Work with pgvector embeddings, semantic search, or RAG - Set up full-text search, hybrid search, or BM25 ranking - Use PostGIS for spatial/geographic data - Set up TimescaleDB hypertables for time-series data - Migrate tables to hypertables or evaluate migration candidates - Plan or execute safe schema migrations with zero downtime **Keywords:** PostgreSQL, Postgres, SQL, schema, table design, indexes, constraints, pgvector, PostGIS, TimescaleDB, hypertable, semantic search, hybrid search, BM25, time-series, migration
PostgreSQL Expert Skills
This skill provides comprehensive PostgreSQL expertise through specialized references. Load the appropriate reference based on the task.
Available References
Existing Databases
- schema-exploration — Read-only, question-driven exploration of schemas, tables, views, routines, triggers, RLS, and extensions using
pg_catalog. Use to understand an existing database before designing changes or writing queries.
Table Design
- design-postgres-tables — Data types, constraints, indexes, JSONB patterns, partitioning, and PostgreSQL best practices. Use for any general table/schema design task.
- design-postgis-tables — PostGIS spatial table design: geometry vs geography types, SRIDs, spatial indexing, and location-based query patterns. Use when the task involves geographic or spatial data.
Search
- pgvector-semantic-search — Vector similarity search with pgvector: HNSW/IVFFlat indexes, halfvec storage, quantization, filtered search, and tuning. Use for embeddings, RAG, or semantic search.
- postgres-hybrid-text-search — Hybrid search combining BM25 keyword search with pgvector semantic search using RRF. Use when combining keyword and meaning-based search.
TimescaleDB
- setup-timescaledb-hypertables — Hypertable creation, compression, retention policies, continuous aggregates, and indexes. Use when setting up TimescaleDB from scratch.
- find-hypertable-candidates — SQL queries to analyze existing tables and score them for hypertable conversion. Use when evaluating which tables to migrate.
- migrate-postgres-tables-to-hypertables — Step-by-step migration: partition column selection, in-place vs blue-green, validation. Use when executing a migration.
Migrations
- postgres-database-migration — DDL lock reference, safe migration patterns, timeout strategies, rollback planning, and fork-based testing. Use when planning or executing schema changes on production databases.
How to Use
- Identify which reference matches the user's task from the descriptions above.
- Load the reference file to get detailed instructions and SQL patterns.
- For tasks spanning multiple areas (e.g., "design a table with vector search"), load multiple references as needed.
Use this skill
Connect your agent to the Skill Store MCP server and ask for it by ref: timescale/postgres-58992216291.
Details
- Publisher
- timescale
- Category
- Data & Analytics › Databases & SQL
- License
- Apache-2.0
- Updated
- 2026-10-07
References
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