Agent skill
performance-optimisation
Analyses and optimises performance across frontend, backend and database interactions. Identifies bottlenecks and implements solutions to enhance speed and efficiency.
Stars
163
Forks
31
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/performance-optimisation
SKILL.md
Performance Optimisation Skill
Tooling Notes
This skill should only use read-only commands and avoid modifying files.
Workflow
Copy this checklist and use it to track your progress through the performance optimisation process:
markdown
Performance Optimisation Checklist
- [ ] Measure Baseline Performance
- [ ] Use profiling tools to gather performance metrics.
- [ ] Identify slow functions, database queries, and network requests.
- [ ] Identify Bottlenecks
- [ ] Analyse profiling data to pinpoint performance issues.
- [ ] Prioritise issues based on impact and ease of resolution.
- [ ] Implement Optimisations
- [ ] Optimise algorithms and data structures.
- [ ] Improve database query efficiency.
- [ ] Reduce network latency and payload sizes.
- [ ] Implement caching strategies where appropriate.
- [ ] Validate Improvements
- [ ] Re-measure performance after optimisations.
- [ ] Ensure that optimisations have led to measurable improvements.
- [ ] Document Changes
- [ ] Update documentation to reflect performance changes.
- [ ] Provide explanations for significant optimisations.
Profiling Commands
bash
# Node.js profiling
node --prof app.js
node --prof-process isolate-0x*.log > processed.txt
# Python profiling
python -m cProfile -o profile.out app.py
snakeviz profile.out
# Database query analysis (PostgreSQL example)
EXPLAIN ANALYZE SELECT * FROM your_table WHERE condition;
# Web performance analysis
lighthouse https://yourwebsite.com --output html --output-path report.html
Common Bottlenecks and Ways to Fix Them
- Inefficient Algorithms: Replace with more efficient algorithms or data structures.
- Database Query Performance: Optimize queries, add indexes, or denormalize data.
- Network Latency: Minimize requests, use CDNs, and compress payloads.
- Unnecessary Computations: Cache results of expensive operations.
- Memory Leaks: Identify and fix memory leaks to improve performance over time.
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