timescale/pg-aiguide

postgres

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:** - 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 Ti…

All-time #9430 Trending #8092 First seen Apr 7, 2026
8-week activity · all time api

Installation

$ npx skills add timescale/pg-aiguide --skill postgres

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 1.8K
License LICENSE
Default branch main
Open issues 3
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

LicenseApache-2.0
More metadata
author
tigerdata

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,387 B
  • docs SUMMARY.md 874 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1,100 installs

SKILL.md

PostgreSQL Expert Skills

This skill provides comprehensive PostgreSQL expertise through specialized references. Load the appropriate reference based on the task.

Available References

Table Design

  • [design-postgres-tables](references/design-postgres-tables.md) — Data types, constraints, indexes, JSONB patterns, partitioning, and PostgreSQL best practices. Use for any general table/schema design task.
  • [design-postgis-tables](references/design-postgis-tables.md) — 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](references/pgvector-semantic-search.md) — 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](references/postgres-hybrid-text-search.md) — Hybrid search combining BM25 keyword search with pgvector semantic search using RRF. Use when combining keyword and meaning-based search.

TimescaleDB

  • [setup-timescaledb-hypertables](references/setup-timescaledb-hypertables.md) — Hypertable creation, compression, retention policies, continuous aggregates, and indexes. Use when setting up TimescaleDB from scratch.
  • [find-hypertable-candidates](references/find-hypertable-candidates.md) — SQL queries to analyze existing tables and score them for hypertable conversion. Use when evaluating which tables to migrate.
  • [migrate-postgres-tables-to-hypertables](references/migrate-postgres-tables-to-hypertables.md) — Step-by-step migration: partition column selection, in-place vs blue-green, validation. Use when executing a migration.

Migrations

  • [postgres-database-migration](references/postgres-database-migration.md) — 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

  1. Identify which reference matches the user's task from the descriptions above.
  2. Load the reference file to get detailed instructions and SQL patterns.
  3. For tasks spanning multiple areas (e.g., "design a table with vector search"), load multiple references as needed.