pg
Comprehensive PostgreSQL documentation and best practices through semantic search and curated skills, including ecosystem tools like TimescaleDB and Tiger Cloud
Summary
pg-aiguide equips AI coding assistants with deep, version-aware PostgreSQL knowledge and curated best practices, enabling them to generate modern, efficient, and correct database code.
- It integrates semantic search across official documentation and extension ecosystems like TimescaleDB, helping developers avoid outdated patterns and missing constraints.
Overview
AI-optimized PostgreSQL expertise for coding assistants
pg-aiguide helps AI coding tools write dramatically better PostgreSQL code. It provides:
- •Semantic search across the official PostgreSQL manual (version-aware)
- •AI-optimized “skills” — curated, opinionated Postgres best practices used automatically by AI agents
- •Extension ecosystem docs, starting with TimescaleDB, with more coming soon
Use it as:
- •Agent Skills via
npx skills— works with Claude Code, Cursor, Codex, Gemini CLI, and 40+ other agents - •a public MCP server that can be used with any AI coding agent, or
- •a Claude Code plugin optimized for use with Claude's native skill support.
⭐ Why pg-aiguide?
AI coding tools often generate Postgres code that is:
- •outdated
- •missing constraints and indexes
- •unaware of modern PG features
- •inconsistent with real-world best practices
pg-aiguide fixes that by giving AI agents deep, versioned PostgreSQL knowledge and proven patterns.
See the difference
https://github.com/user-attachments/assets/5a426381-09b5-4635-9050-f55422253a3d
<details> <summary>Video Transcript </summary>
Prompt given to Claude Code:
Please describe the schema you would create for an e-commerce website two times, first with the tiger mcp server disabled, then with the tiger mcp server enabled. For each time, write the schema to its own file in the current working directory. Then compare the two files and let me know which approach generated the better schema, using both qualitative and quantitative reasons. For this example, only use standard Postgres.
Result (summarized):
- •4× more constraints
- •55% more indexes (including partial/expression indexes)
- •PG17-recommended patterns
- •Modern features (
GENERATED ALWAYS AS IDENTITY,NULLS NOT DISTINCT) - •Cleaner naming & documentation
Conclusion: _pg-aiguide produces more robust, performant, maintainable schemas._
</details>
🚀 Quickstart
Agent Skills
Install curated PostgreSQL best-practice skills for your AI coding agent:
npx skills add timescale/pg-aiguide --skill postgresOr pick individual skills interactively:
npx skills add timescale/pg-aiguideWorks with Claude Code, Cursor, Codex, Gemini CLI, VS Code, and 40+ other agents.
For even deeper PostgreSQL knowledge, also add the MCP server to give your agent semantic search over the official PostgreSQL, TimescaleDB, and PostGIS manuals.
MCP Server
For semantic search over PostgreSQL, TimescaleDB, and PostGIS documentation, add the public MCP server:
https://mcp.tigerdata.com/docs
<details> <summary>Manual MCP configuration using JSON</summary>
{
"mcpServers": {
"pg-aiguide": {
"url": "https://mcp.tigerdata.com/docs"
}
}
}</details>
Or it can be used as a Claude Code Plugin:
claude plugin marketplace add timescale/pg-aiguide
claude plugin install pg@aiguide     
<details> <summary>Claude Code</summary>
This repo serves as a claude code marketplace plugin. To install, run:
claude plugin marketplace add timescale/pg-aiguide
claude plugin install pg@aiguideThis plugin uses the skills available in the skills directory as well as our publicly available MCP server endpoint hosted by TigerData for searching PostgreSQL documentation.
</details>
<details> <summary> Codex </summary>
Run the following to add the MCP server to codex:
codex mcp add --url "https://mcp.tigerdata.com/docs" pg-aiguide</details>
<details> <summary> Cursor </summary>
One-click install:

Or add the following to .cursor/mcp.json
{
"mcpServers": {
"pg-aiguide": {
"url": "https://mcp.tigerdata.com/docs"
}
}
}</details>
<details> <summary> Gemini CLI </summary>
Run the following to add the MCP server to Gemini CLI:
gemini mcp add -s user pg-aiguide "https://mcp.tigerdata.com/docs" -t http</details>
<details> <summary> Visual Studio </summary>
Click the button to install:

</details>
<details> <summary> VS Code </summary>
Click the button to install:

Alternatively, run the following to add the MCP server to VS Code:
code --add-mcp '{"name":"pg-aiguide","type":"http","url":"https://mcp.tigerdata.com/docs"}'</details>
<details> <summary> VS Code Insiders </summary>
Click the button to install:

Alternatively, run the following to add the MCP server to VS Code Insiders:
code-insiders --add-mcp '{"name":"pg-aiguide","type":"http","url":"https://mcp.tigerdata.com/docs"}'</details>
<details> <summary> Windsurf </summary>
Add the following to ~/.codeium/windsurf/mcp_config.json
{
"mcpServers": {
"pg-aiguide": {
"serverUrl": "https://mcp.tigerdata.com/docs"
}
}
}</details>
💡 Your First Prompt
Once installed, pg-aiguide can answer Postgres questions or design schemas.
Simple schema example prompt
Create a Postgres table schema for storing usernames and unique email addresses.
Complex schema example prompt
You are a senior software engineer. You are given a task to generate a Postgres schema for an IoT device company.
The devices collect environmental data on a factory floor. The data includes temperature, humidity, pressure, as
the main data points as well as other measurements that vary from device to device. Each device has a unique id
and a human-readable name. We want to record the time the data was collected as well. Analysis for recent data
includes finding outliers and anomalies based on measurements, as well as analyzing the data of particular devices for ad-hoc analysis. Historical data analysis includes analyzing the history of data for one device or getting statistics for all devices over long periods of time.
Features
Documentation Search (MCP Tools)
Unified search tool supporting semantic (vector similarity) and keyword (BM25) search across multiple documentation sources: - postgres - Official PostgreSQL manual, scoped by version - tiger - Tiger Data's documentation (TimescaleDB and ecosystem) - postgis - PostGIS spatial extension documentation
Skills (AI-Optimized Best Practices)
- •[`view_skill`](API.md#view_skill)
Exposes curated, opinionated PostgreSQL best-practice skills used automatically by AI coding assistants.
These skills provide guidance on: - Schema design - Indexing strategies - Data types - Data integrity and constraints - Naming conventions - Performance tuning - Modern PostgreSQL features
🔌 Ecosystem Documentation
Supported today:
- •TimescaleDB (docs + skills)
- •PostGIS (docs)
Coming soon:
- •pgvector
We welcome contributions for additional extensions and tools.
🛠 Development
See DEVELOPMENT.md for:
- •running the MCP server locally
- •adding new skills
- •adding new docs
🤝 Contributing
We welcome:
- •new Postgres best-practice skills
- •additional documentation corpora
- •search quality improvements
- •bug reports and feature ideas
📄 License
Apache 2.0
Install & Usage
mkdir -p .claude/skillsmkdir -p .claude/skills && curl -o .claude/skills/pg.md https://raw.githubusercontent.com/timescale/pg-aiguide/main/SKILL.md/pgUse Cases
Usage Examples
/pg Design a schema for a multi-tenant SaaS platform with users, organizations, and billing tables, including indexes and constraints.
/pg Explain how to use PostgreSQL's BRIN indexes for large time-series tables and show an example query.
/pg Generate a migration to add a JSONB column with a GIN index and a check constraint for a products table.
Security Audits
Frequently Asked Questions
What is pg?
pg-aiguide equips AI coding assistants with deep, version-aware PostgreSQL knowledge and curated best practices, enabling them to generate modern, efficient, and correct database code. It integrates semantic search across official documentation and extension ecosystems like TimescaleDB, helping developers avoid outdated patterns and missing constraints.
How to install pg?
To install pg: create the skills directory (mkdir -p .claude/skills), then run: mkdir -p .claude/skills && curl -o .claude/skills/pg.md https://raw.githubusercontent.com/timescale/pg-aiguide/main/SKILL.md. Finally, /pg in Claude Code.
What is pg best for?
pg is a skill categorized under Data & Analytics. It is designed for: documentation, postgresql, postgres, database, sql, skills, aiguide, timescaledb. Created by TigerData.
What can I use pg for?
pg is useful for: Designing a normalized e-commerce schema with proper indexes and foreign keys for a new application.; Optimizing slow queries by leveraging PostgreSQL-specific features like partial indexes or CTEs.; Migrating from a legacy database to PostgreSQL with correct data types and constraints.; Implementing time-series data storage using TimescaleDB hypertables and compression policies.; Validating SQL code against PostgreSQL version-specific documentation and best practices.; Generating migration scripts that include proper indexing, partitioning, and constraint definitions..