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isdaniel/pgtuner_mcp

provides AI-powered PostgreSQL performance tuning capabilities.

History

Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.

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skills/pg-bloat-analysis/SKILL.md

Week of Nov 2, 2026 · Line counts unavailable

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skills/pg-config-tuning/SKILL.md

Week of Nov 2, 2026 · Line counts unavailable

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skills/pg-connection-analysis/SKILL.md

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skills/pg-health-check/SKILL.md

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skills/pg-index-optimization/SKILL.md

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skills/pg-io-deep-dive/SKILL.md

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skills/pg-lock-diagnosis/SKILL.md

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skills/pg-performance-baseline/SKILL.md

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skills/pg-query-rewrite/SKILL.md

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skills/pg-slow-query-diagnosis/SKILL.md

Week of Nov 2, 2026 · Line counts unavailable

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skills/pg-vacuum-tuning/SKILL.md

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View on GitHubAdd to my skills

Verified commit 2eaa0cc8a10f8a256a31025c9f4e28582743da0e

30GitHub stars
0stars in 7 days
11skills in this repository
0commits in 30 days

Heat

0.4
  • Star growth, last 7 daysNot available
  • Star growth, last 24 hoursNot available
  • Rank movement, last 7 daysNot available
  • Commits, last 30 daysNot available
  • Accounts asking about it through MCP, last 7 daysNot available
  • Hot votes this weekNot available

Heat never changes the order by stars, and sponsorship never touches it. How heat works

Stars over time

Oct 25, 2026Oct 25, 202630

30-day change not yet available: not enough history.

Individual skills in this repository

How it works

pg-bloat-analysis

When your agent uses it

Detects and remediates table and index bloat in PostgreSQL using pgstattuple analysis. Identifies fragmentation, dead tuples, and wasted space with prioritized maintenance actions including VACUUM, REINDEX, and pg_repack recommendations.

What it loads into context

Frontmatter

57 tokens

Always available to the agent

SKILL.md

3,133 tokens

When the skill is activated

Reference documents

0 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. When to Use This Skill
  2. MCP Resources Available
  3. Related MCP Prompt
  4. Prerequisites
  5. Pre-Flight Checks
  6. Agent Decision Tree
  7. Bloat Analysis Workflow
  8. Remediation Plan
  9. Output Format
  10. Important Notes
  11. Iterative Verification
  12. When to Stop and Ask the User
  13. Cross-References to Other Skills
  14. PostgreSQL Version Notes
  15. Production Safety

Files

  • SKILL.mdcore12,139 bytes
Read SKILL.md

# PostgreSQL Bloat Analysis

This skill guides detection, analysis, and remediation of table and index bloat in PostgreSQL databases using pgtuner-mcp tools.

## When to Use This Skill

Use this skill when the user:

- Reports tables or indexes growing unexpectedly large
- Asks about database bloat, dead tuples, or fragmentation
- Mentions disk space running low
- Sees slow sequential scans on tables that should be small
- Asks "why is my table so large?" or "how do I reclaim disk space?"
- Notices `VACUUM` not keeping up or autovacuum running constantly
View the complete source on GitHub

Skills included

  • pg-bloat-analysis
  • pg-config-tuning
  • pg-connection-analysis
  • pg-health-check
  • pg-index-optimization
  • pg-io-deep-dive
  • pg-lock-diagnosis
  • pg-performance-baseline
  • pg-query-rewrite
  • pg-slow-query-diagnosis
  • pg-vacuum-tuning

Repository facts

License
Apache-2.0
Created
Nov 25, 2025
Last pushed
Jun 2, 2026
Forks
5
Open issues
1
Project activity
Slowing

Before you install

Instructions only

Automated signals, not a guarantee

Checked Nov 5, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 3 notes
  • skills/pg-query-rewrite/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • skills/pg-query-rewrite/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • skills/pg-query-rewrite/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • No broad tool permissions
  • No dangerous shell commands
  • No network access
  • No hidden or obfuscated text
  • No instruction overrides
  • No executable scripts
  • No access to secrets
  • No requests to vote in Hot

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

No combined signals at this commit.

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeCompatibleStandard SKILL.md skills/pg-bloat-analysis/SKILL.md.claude/skills/<skill-name>/
CodexCompatibleStandard SKILL.md skills/pg-bloat-analysis/SKILL.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md skills/pg-bloat-analysis/SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md skills/pg-bloat-analysis/SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md skills/pg-bloat-analysis/SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard SKILL.md skills/pg-bloat-analysis/SKILL.md.opencode/skills/<skill-name>/
  • Native The repository ships a manifest, folder or frontmatter field for this agent.
  • Compatible A standard SKILL.md that this agent can read.
  • Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.