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postgres

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UpdatedApril 7, 2026 at 14:56

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 TimescaleDB hypertables for time-series data - Migrate tables to hypertables or evaluate migration candidates **Keywords:** PostgreSQL, Postgres, SQL, schema, table design, indexes, constraints, pgvector, PostGIS, TimescaleDB, hypertable, semantic search, hybrid search, BM25, time-series

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timescale/pg-aiguide

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name	postgres
description	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 TimescaleDB hypertables for time-series data - Migrate tables to hypertables or evaluate migration candidates Keywords: PostgreSQL, Postgres, SQL, schema, table design, indexes, constraints, pgvector, PostGIS, TimescaleDB, hypertable, semantic search, hybrid search, BM25, time-series
license	Apache-2.0
metadata	{"author":"tigerdata"}

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 — 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.

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.

More from this repository

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design-postgis-tables

timescale/pg-aiguide

Comprehensive PostGIS spatial table design reference covering geometry types, coordinate systems, spatial indexing, and performance patterns for location-based applications

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design-postgres-tables

timescale/pg-aiguide

Use this skill for general PostgreSQL table design. **Trigger when user asks to:** - Design PostgreSQL tables, schemas, or data models when creating new tables and when modifying existing ones. - Choose data types, constraints, or indexes for PostgreSQL - Create user tables, order tables, reference tables, or JSONB schemas - Understand PostgreSQL best practices for normalization, constraints, or indexing - Design update-heavy, upsert-heavy, or OLTP-style tables **Keywords:** PostgreSQL schema, table design, data types, PRIMARY KEY, FOREIGN KEY, indexes, B-tree, GIN, JSONB, constraints, normalization, identity columns, partitioning, row-level security Comprehensive reference covering data types, indexing strategies, constraints, JSONB patterns, partitioning, and PostgreSQL-specific best practices.

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find-hypertable-candidates

timescale/pg-aiguide

Use this skill to analyze an existing PostgreSQL database and identify which tables should be converted to Timescale/TimescaleDB hypertables. **Trigger when user asks to:** - Analyze database tables for hypertable conversion potential - Identify time-series or event tables in an existing schema - Evaluate if a table would benefit from Timescale/TimescaleDB - Audit PostgreSQL tables for migration to Timescale/TimescaleDB/TigerData - Score or rank tables for hypertable candidacy **Keywords:** hypertable candidate, table analysis, migration assessment, Timescale, TimescaleDB, time-series detection, insert-heavy tables, event logs, audit tables Provides SQL queries to analyze table statistics, index patterns, and query patterns. Includes scoring criteria (8+ points = good candidate) and pattern recognition for IoT, events, transactions, and sequential data.

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migrate-postgres-tables-to-hypertables

timescale/pg-aiguide

Use this skill to migrate identified PostgreSQL tables to Timescale/TimescaleDB hypertables with optimal configuration and validation. **Trigger when user asks to:** - Migrate or convert PostgreSQL tables to hypertables - Execute hypertable migration with minimal downtime - Plan blue-green migration for large tables - Validate hypertable migration success - Configure compression after migration **Prerequisites:** Tables already identified as candidates (use find-hypertable-candidates first if needed) **Keywords:** migrate to hypertable, convert table, Timescale, TimescaleDB, blue-green migration, in-place conversion, create_hypertable, migration validation, compression setup Step-by-step migration planning including: partition column selection, chunk interval calculation, PK/constraint handling, migration execution (in-place vs blue-green), and performance validation queries.

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pgvector-semantic-search

timescale/pg-aiguide

Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. **Trigger when user asks to:** - Store or search vector embeddings in PostgreSQL - Set up semantic search, similarity search, or nearest neighbor search - Create HNSW or IVFFlat indexes for vectors - Implement RAG (Retrieval Augmented Generation) with PostgreSQL - Optimize pgvector performance, recall, or memory usage - Use binary quantization for large vector datasets **Keywords:** pgvector, embeddings, semantic search, vector similarity, HNSW, IVFFlat, halfvec, cosine distance, nearest neighbor, RAG, LLM, AI search Covers: halfvec storage, HNSW index configuration (m, ef_construction, ef_search), quantization strategies, filtered search, bulk loading, and performance tuning.

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postgres-hybrid-text-search

timescale/pg-aiguide

Use this skill to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF). **Trigger when user asks to:** - Combine keyword and semantic search - Implement hybrid search or multi-modal retrieval - Use BM25/pg_textsearch with pgvector together - Implement RRF (Reciprocal Rank Fusion) for search - Build search that handles both exact terms and meaning **Keywords:** hybrid search, BM25, pg_textsearch, RRF, reciprocal rank fusion, keyword search, full-text search, reranking, cross-encoder Covers: pg_textsearch BM25 index setup, parallel query patterns, client-side RRF fusion (Python/TypeScript), weighting strategies, and optional ML reranking.

2026-04-071.8k

name	postgres
description	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 TimescaleDB hypertables for time-series data - Migrate tables to hypertables or evaluate migration candidates Keywords: PostgreSQL, Postgres, SQL, schema, table design, indexes, constraints, pgvector, PostGIS, TimescaleDB, hypertable, semantic search, hybrid search, BM25, time-series
license	Apache-2.0
metadata	{"author":"tigerdata"}

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 — 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.

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.