Database Performance

by nimadorostkar

Database Performance is a Quality skill for Claude Code, published by nimadorostkar in Claude-Skills-collection.

25 stars3 forkson nimadorostkar/Claude-Skills-collectionAdded 2026/08/12Repository updated 2026/07/26

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Install in seconds

Install Database Performance

Copy Database Performance into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/nimadorostkar/Claude-Skills-collection/tree/main/skills/data/database-performance ~/.claude/skills/database-performance

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/nimadorostkar/Claude-Skills-collection.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/data/database-performance/SKILL.md in nimadorostkar/Claude-Skills-collection
Installs to: ~/.claude/skills/database-performance
Collection: One of 50 skills cataloged from this repository
Category: Quality — 1354 skills

What Database Performance does

Database Performance helps diagnose slow queries, lock contention, and connection saturation using execution plans and query logs. Use it when the database is the bottleneck or you need to make schema and index changes for speed.

Database Performance is cataloged under Quality on DirSkills. Database Performance comes from a repository tagged ai, claude, claude-skills and skills.

Documentation

README

Excerpt

Database Performance

Purpose

Make the database fast by finding what it is actually spending time on. Database performance work fails when it starts from intuition; it succeeds when it starts from EXPLAIN ANALYZE and the slow-query log.

When to Use

An endpoint is slow and the database is suspected.
CPU or I/O on the database server is saturated.
Lock waits, timeouts, or deadlocks in production.
Planning for a tenfold increase in data volume.

Capabilities

Query profiling and execution-plan analysis.
Index strategy: what to add, and what to remove.
Lock contention and deadlock diagnosis.
Connection pool sizing.
Denormalization, materialization, and partitioning as scaling tools.

Inputs

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Database Performance

What else does nimadorostkar publish alongside Database Performance?
Database Performance is one of 50 skills that DirSkills catalogs from nimadorostkar/Claude-Skills-collection, the repository it ships in. Its siblings there include API Design, Agent Design and Agent Instructions. Each one is a separate skill with its own page in this directory, installs the same way Database Performance does, and is maintained by nimadorostkar in that same repository. The rest of the collection is listed on the nimadorostkar/Claude-Skills-collection page.
How does Database Performance compare to other Quality skills?
Database Performance ranks #1322 by stars among the 1354 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Database Performance against them. Open each page to compare what they document and how they install.