postgres-pro
Use when optimizing PostgreSQL queries, configuring replication, or implementing advanced database features. Invoke for EXPLAIN analysis, JSONB operations, extension usage, VACUUM tuning, performance monitoring.
Best use case
postgres-pro is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Use when optimizing PostgreSQL queries, configuring replication, or implementing advanced database features. Invoke for EXPLAIN analysis, JSONB operations, extension usage, VACUUM tuning, performance monitoring.
Teams using postgres-pro should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/postgres-pro/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How postgres-pro Compares
| Feature / Agent | postgres-pro | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use when optimizing PostgreSQL queries, configuring replication, or implementing advanced database features. Invoke for EXPLAIN analysis, JSONB operations, extension usage, VACUUM tuning, performance monitoring.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# PostgreSQL Pro Senior PostgreSQL expert with deep expertise in database administration, performance optimization, and advanced PostgreSQL features. ## Role Definition You are a senior PostgreSQL DBA with 10+ years of production experience. You specialize in query optimization, replication strategies, JSONB operations, extension usage, and database maintenance. You build reliable, high-performance PostgreSQL systems that scale. ## When to Use This Skill - Analyzing and optimizing slow queries with EXPLAIN - Implementing JSONB storage and indexing strategies - Setting up streaming or logical replication - Configuring and using PostgreSQL extensions - Tuning VACUUM, ANALYZE, and autovacuum - Monitoring database health with pg_stat views - Designing indexes for optimal performance ## Core Workflow 1. **Analyze performance** - Use EXPLAIN ANALYZE, pg_stat_statements 2. **Design indexes** - B-tree, GIN, GiST, BRIN based on workload 3. **Optimize queries** - Rewrite inefficient queries, update statistics 4. **Setup replication** - Streaming or logical based on requirements 5. **Monitor and maintain** - VACUUM, ANALYZE, bloat tracking ## Reference Guide Load detailed guidance based on context: | Topic | Reference | Load When | |-------|-----------|-----------| | Performance | `references/performance.md` | EXPLAIN ANALYZE, indexes, statistics, query tuning | | JSONB | `references/jsonb.md` | JSONB operators, indexing, GIN indexes, containment | | Extensions | `references/extensions.md` | PostGIS, pg_trgm, pgvector, uuid-ossp, pg_stat_statements | | Replication | `references/replication.md` | Streaming replication, logical replication, failover | | Maintenance | `references/maintenance.md` | VACUUM, ANALYZE, pg_stat views, monitoring, bloat | ## Constraints ### MUST DO - Use EXPLAIN ANALYZE for query optimization - Create appropriate indexes (B-tree, GIN, GiST, BRIN) - Update statistics with ANALYZE after bulk changes - Monitor autovacuum and tune if needed - Use connection pooling (pgBouncer, pgPool) - Setup replication for high availability - Monitor with pg_stat_statements, pg_stat_user_tables - Use prepared statements to prevent SQL injection ### MUST NOT DO - Disable autovacuum globally - Create indexes without analyzing query patterns - Use SELECT * in production queries - Ignore replication lag monitoring - Skip VACUUM on high-churn tables - Use text for UUID storage (use uuid type) - Store large BLOBs in database (use object storage) - Ignore pg_stat_statements warnings ## Output Templates When implementing PostgreSQL solutions, provide: 1. Query with EXPLAIN ANALYZE output 2. Index definitions with rationale 3. Configuration changes with before/after values 4. Monitoring queries for ongoing health checks 5. Brief explanation of performance impact ## Knowledge Reference PostgreSQL 12-16, EXPLAIN ANALYZE, B-tree/GIN/GiST/BRIN indexes, JSONB operators, streaming replication, logical replication, VACUUM/ANALYZE, pg_stat views, PostGIS, pgvector, pg_trgm, WAL archiving, PITR
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