postgres-pro
Skill3 starsChanged 9 months agoMITView on GitHub
Use when optimizing PostgreSQL queries, configuring replication, or implementing advanced database features. Invoke for EXPLAIN analysis, JSONB operations, extension usage, VACUUM tuning, performance monitoring.
15 other projects use a version of this, 13 of them edited.
Adopted by
Most recently taken up by
- santiago-migoni/claude-skillsedited, first seen Nov 8, 2026
- AxlZero21/Skillsedited, first seen Nov 8, 2026
- lsyamsiar/claude-skillsedited, first seen Nov 1, 2026
- codeApe-7/ai-agent-workflowGroupedited, first seen Nov 1, 2026
- hu465/claude-skills-edited, first seen Oct 25, 2026
- IAbuElRuzz/AgentSkillsedited, first seen Sep 16, 2026
Used with
Projects with it also use ui-ux-pro-max.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
StrayDragonSkillui-ux-pro-max
UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient.
Also in 3 projects that use this
Other versions15 projects use a version of this.
Word for word · 0
None found.
Edited · 13
- Jeffallan/claude-skills★ 12k34% same
- codeApe-7/ai-agent-workflowGroup★ 1836% same
- PIXARTSeu/Synapse★ 936% same
- AxlZero21/Skills★ 134% same
- IAbuElRuzz/AgentSkills★ 136% same
- AojdevStudio/development-kit★ 036% same
- hu465/claude-skills-★ 034% same
- james-paul25/claude-skill★ 036% same
- lsyamsiar/claude-skills★ 034% same
- LucasGS520/Claude-Skills★ 036% same
3 more not listed
Wrote their own version · 2
- jshsakura/awesome-opencode-skills★ 30same name
- belokonm/claude-supercode-skills★ 11same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository66 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- angular-architectSkill
- api-designerSkill
- architecture-designerSkill
- atlassian-mcpSkill
- chaos-engineerSkill
- cli-developerSkill
- cloud-architectSkill
- code-documenterSkill
- code-reviewerSkill
- cpp-proSkill
- csharp-developerSkill
- database-optimizerSkill
- debugging-wizardSkill
- devops-engineerSkill
- django-expertSkill
- dotnet-core-expertSkill
- embedded-systemsSkill
- fastapi-expertSkill
- feature-forgeSkill
- fine-tuning-expertSkill
- flutter-expertSkill
- fullstack-guardianSkill
- game-developerSkill
- golang-proSkill
- graphql-architectSkill
- java-architectSkill
- javascript-proSkill
- kotlin-specialistSkill
- kubernetes-specialistSkill
- laravel-specialistSkill
- legacy-modernizerSkill
- mcp-developerSkill
- microservices-architectSkill
- ml-pipelineSkill
- monitoring-expertSkill
- nestjs-expertSkill
- nextjs-developerSkill
- pandas-proSkill
- php-proSkill
- playwright-expertSkill
- prompt-engineerSkill
- python-proSkill
- rag-architectSkill
- rails-expertSkill
- react-expertSkill
- react-native-expertSkill
- rust-engineerSkill
- salesforce-developerSkill
- secure-code-guardianSkill
- security-reviewerSkill
- shopify-expertSkill
- spark-engineerSkill
- spec-minerSkill
- spring-boot-engineerSkill
- sql-proSkill
- sre-engineerSkill
- swift-expertSkill
- terraform-engineerSkill
- test-masterSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
10 rules. 5 are common, 5 are distinctive, and 0 are very specific to this project.
5
Common
Most of the 14 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 36
Analyze performance: - Use EXPLAIN ANALYZE, pg_stat_statements
- Distinctive: line 57
Use EXPLAIN ANALYZE for query optimization
- Distinctive: line 58
Create appropriate indexes (B-tree, GIN, GiST, BRIN)
- Distinctive: line 59
Update statistics with ANALYZE after bulk changes
- Common: line 61
Use connection pooling (pgBouncer, pgPool)
- Common: line 64
Use prepared statements to prevent SQL injection
- Common: line 68
Create indexes without analyzing query patterns
- Common: line 69
Use SELECT * in production queries
- Distinctive: line 72
Use text for UUID storage (use uuid type)
- Common: line 78
When implementing PostgreSQL solutions, provide:
“Common” is measured: kept by at least 6 in 10 of the 14 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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
- Analyze performance - Use EXPLAIN ANALYZE, pg_stat_statements
- Design indexes - B-tree, GIN, GiST, BRIN based on workload
- Optimize queries - Rewrite inefficient queries, update statistics
- Setup replication - Streaming or logical based on requirements
- 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:
- Query with EXPLAIN ANALYZE output
- Index definitions with rationale
- Configuration changes with before/after values
- Monitoring queries for ongoing health checks
- 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
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

