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Postgres Best Practices

Organization
neondatabase
postgres-best-practices

Best practices and guidelines for working with Postgres. Covers schema design, indexing strategies, query optimization, migrations, and common pitfalls. Use when writing SQL, designing database schemas, optimizing queries, or setting up a Postgres database.

Overview

Publisherneondatabase
Repositorypostgres-skills
Skill namepostgres-best-practices
Stars
53
Forks
11
Bundled files
13
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 13 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by neondatabase on GitHub. Read the source before you install it.

Installation

Install the Postgres Best Practices AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/neondatabase/postgres-skills/tree/main/skills/postgres-best-practices
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/neondatabase/postgres-skills.git /tmp/postgres-skills
mkdir -p .claude/skills
cp -r /tmp/postgres-skills/skills/postgres-best-practices .claude/skills/postgres-best-practices
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Postgres Best Practices in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Postgres Best Practices on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Postgres Best Practices is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Postgres Best Practices

Guidelines and best practices for working with Postgres, covering schema design, indexing, query optimization, and common pitfalls.

Supported Versions

This skill covers PostgreSQL 14 through 18. Version-specific features are tagged (e.g., [PG15+], [PG18+]); environment-dependent examples identify required privileges, extensions, or multi-node setup.

PostgreSQL provides 5 years of support per major version. Always run the latest minor release.

VersionInitial ReleaseEnd of Life
18September 2025November 2030
17September 2024November 2029
16September 2023November 2028
15October 2022November 2027
14September 2021November 2026

Source: postgresql.org/support/versioning

References

AreaResourceWhen to Use
Schema Designreferences/schema-design.mdDesigning tables, choosing data types, normalizing, partitioning
Indexingreferences/indexing.mdChoosing index types, composite indexes, partial/covering indexes
Query Optimizationreferences/query-optimization.mdReading EXPLAIN ANALYZE, fixing bottlenecks, planner tuning
Query Patternsreferences/query-patterns.mdCTEs, window functions, lateral joins, UPSERT, JSONB, anti-patterns
Performance Diagnosticsreferences/performance-diagnostics.mdpg_stat views, lock analysis, VACUUM, connection management
Logical Replicationreferences/logical-replication.mdPub/sub replication, live migrations, CDC
Hot Standbyreferences/hot-standby.mdStreaming replication, read replicas, failover
Transaction Isolationreferences/transaction-isolation.mdIsolation levels, lost updates, serialization failures, retry logic
Backup & Restorereferences/backup-restore.mdpg_dump/pg_restore, pg_basebackup, PITR, recovery
Security & Rolesreferences/security-roles.mdPrivileges, RLS, pg_hba.conf, authentication, SSL
Bulk Data Loadingreferences/bulk-loading.mdCOPY patterns, ETL staging, optimizing large loads, batch ops
Connection Poolingreferences/connection-pooling.mdPgBouncer config, pool modes, prepared statements, sizing
Major Version Upgradesreferences/major-version-upgrades.mdpg_upgrade, logical replication migration, pre/post checklists

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Postgres Best Practices AI skill do?

Best practices and guidelines for working with Postgres. Covers schema design, indexing strategies, query optimization, migrations, and common pitfalls. Use when writing SQL, designing database schemas, optimizing queries, or setting up a Postgres database.

Why use Postgres Best Practices on TypingMind?

Because you install it once and use it with any model. Postgres Best Practices is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Postgres Best Practices in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/neondatabase/postgres-skills/tree/main/skills/postgres-best-practices. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Postgres Best Practices?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Postgres Best Practices?

As many as you like. As long as a model supports skills, you can use Postgres Best Practices with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Postgres Best Practices AI skill free?

Yes. It is published on GitHub by neondatabase under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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