Comprehensive PostGIS spatial table design reference covering geometry types, coordinate systems, spatial indexing, and performance patterns for location-based applications
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timescale/pg-aiguide18712026年10月15日 更新
免费在 GitHub 公开
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:** - 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
中文简介正在准备中。当前显示原文说明。
集成工具PostgreSQL
查看安装方法包含的文件（1）
- SKILL.md3.7 KB
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
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.
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同一仓库的技能
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.
中文简介正在准备中。当前显示原文说明。
timescale/pg-aiguide18712026年10月15日 更新
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.
中文简介正在准备中。当前显示原文说明。
timescale/pg-aiguide18712026年10月15日 更新
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.
中文简介正在准备中。当前显示原文说明。
timescale/pg-aiguide18712026年10月15日 更新
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.
中文简介正在准备中。当前显示原文说明。
timescale/pg-aiguide18712026年10月15日 更新
Use this skill for planning, testing, and safely executing PostgreSQL schema migrations — especially when working with production data or shared databases. **Trigger when user asks to:** - Test a schema migration before applying it to production - Add, remove, or rename columns safely on a live table - Change a column's data type without downtime - Add or drop indexes, constraints, or foreign keys on large tables - Understand which ALTER TABLE operations lock the table - Roll back a failed migration - Plan a zero-downtime migration strategy - Fork a database to test a migration safely **Keywords:** migration, schema change, ALTER TABLE, add column, drop column, rename column, change type, zero downtime, lock, AccessExclusiveLock, concurrent index, forking, rollback, backfill, deploy Covers: lock-level reference for every common DDL operation, safe migration patterns, fork-based testing, zero-downtime column changes, index creation, constraint addition, backfill strategies, pre/post-migration validation, and rollback planning.
中文简介正在准备中。当前显示原文说明。
timescale/pg-aiguide18712026年10月15日 更新