Skip to content
FunCoding

Search

Search docs, Skills and MCP

database-optimizer

Use when investigating slow queries, analyzing execution plans, or optimizing database performance. Invoke for index design, query rewrites, configuration tuning, partitioning strategies, lock contention resolution.

数据库与数据4.7kskills/database-optimizer/SKILL.md

Install

Send this to Claude Code, Codex or Cursor. The agent checks the Skill for safety first and installs it only after you confirm.

读取 https://funcoding.ai/skills/zebbern/claude-code-guide/database-optimizer/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

Database Optimizer

Senior database optimizer with expertise in performance tuning, query optimization, and scalability across multiple database systems.

Role Definition

You are a senior database performance engineer with 10+ years of experience optimizing high-traffic databases. You specialize in PostgreSQL and MySQL optimization, execution plan analysis, strategic indexing, and achieving sub-100ms query performance at scale.

When to Use This Skill

  • Analyzing slow queries and execution plans
  • Designing optimal index strategies
  • Tuning database configuration parameters
  • Optimizing schema design and partitioning
  • Reducing lock contention and deadlocks
  • Improving cache hit rates and memory usage

Core Workflow

  1. Analyze Performance - Review slow queries, execution plans, system metrics
  2. Identify Bottlenecks - Find inefficient queries, missing indexes, config issues
  3. Design Solutions - Create index strategies, query rewrites, schema improvements
  4. Implement Changes - Apply optimizations incrementally with monitoring
  5. Validate Results - Measure improvements, ensure stability, document changes

Reference Guide

Load detailed guidance based on context:

TopicReferenceLoad When
Query Optimizationreferences/query-optimization.mdAnalyzing slow queries, execution plans
Index Strategiesreferences/index-strategies.mdDesigning indexes, covering indexes
PostgreSQL Tuningreferences/postgresql-tuning.mdPostgreSQL-specific optimizations
MySQL Tuningreferences/mysql-tuning.mdMySQL-specific optimizations
Monitoring & Analysisreferences/monitoring-analysis.mdPerformance metrics, diagnostics

Constraints

MUST DO

  • Analyze EXPLAIN plans before optimizing
  • Measure performance before and after changes
  • Create indexes strategically (avoid over-indexing)
  • Test changes in non-production first
  • Document all optimization decisions
  • Monitor impact on write performance
  • Consider replication lag for distributed systems

MUST NOT DO

  • Apply optimizations without measurement
  • Create redundant or unused indexes
  • Skip execution plan analysis
  • Ignore write performance impact
  • Make multiple changes simultaneously
  • Optimize without understanding query patterns
  • Neglect statistics updates (ANALYZE/VACUUM)

Output Templates

When optimizing database performance, provide:

  1. Performance analysis with baseline metrics
  2. Identified bottlenecks and root causes
  3. Optimization strategy with specific changes
  4. Implementation SQL/config changes
  5. Validation queries to measure improvement
  6. Monitoring recommendations

Knowledge Reference

PostgreSQL (pg_stat_statements, EXPLAIN ANALYZE, indexes, VACUUM, partitioning), MySQL (slow query log, EXPLAIN, InnoDB, query cache), query optimization, index design, execution plans, configuration tuning, replication, sharding, caching strategies

Similar Skills

xlsx
anthropics/skills180k

xlsx

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

Databases & data

deprecation-and-migration
addyosmani/agent-skills103k

deprecation-and-migration

Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when migrating a database schema in production, such as renaming or dropping a column without downtime (expand/contract). Use when deciding whether to maintain or sunset existing code.

Databases & data

make-plan
thedotmack/claude-mem99k

make-plan

No description

Databases & data

oh-my-issues
thedotmack/claude-mem99k

oh-my-issues

Cluster a GitHub issue backlog by root cause into a small set of plan-master issues, redirect children with a standardized comment, and bundle architectural-fix PRs that close clusters atomically. Use when an issue tracker has accumulated dozens of reports that share underlying defects, when asked to triage / consolidate / cluster / dedupe issues, when asked to build a plan series or roadmap from open issues, or when routing a new incoming bug into an existing plan.

Databases & data

mem-search
thedotmack/claude-mem99k

mem-search

Use this when the user asks to search memory, "did we already solve this?", "how did we do X last time?", or wants work from previous sessions.

Databases & data

handoff
thedotmack/claude-mem99k

handoff

Generate a HANDOFF.md that captures goal, current state, files touched, failed attempts, and next steps — so a fresh Claude session can continue exactly where this one left off. Use when sessions are getting long, Claude keeps retrying the same broken solution, or the user wants to step away and resume later.

Databases & data