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Analyzes and optimizes application performance across frontend, backend, and database layers.
Passed 25 of 25 test cases with the skill, and 21 of 25 without it.
and 2 more in the full report
4 fixed21 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our frontend web application has grown significantly in bundle size, resulting in poor page speed scores and rendering lag. Can you give me a performance tuning blueprint? Please format it with a progress tracking list, front-end profiling commands, code refactoring examples for code splitting, image loading, and caching, as well as benchmark metrics to determine if our optimizations met quality targets.
| Checked | Without skill | With skill |
|---|---|---|
| Includes the exact checklist heading Performance Optimization Progress: | Missed | Passed |
| Uses dynamic imports with lazy() for React code splitting. | Passed | Passed |
| Specifies a CLS target threshold under 0.1. | Passed | Passed |
The instructions your model reads when the skill loads.
Copy this checklist and track progress:
Performance Optimization Progress:
- [ ] Step 1: Measure baseline performance
- [ ] Step 2: Identify bottlenecks
- [ ] Step 3: Apply targeted optimizations
- [ ] Step 4: Measure again and compare
- [ ] Step 5: Repeat if targets not met
Critical Rule: Never optimize without data. Always profile before and after changes.
# Node.js profiling
node --prof app.js
node --prof-process isolate*.log > profile.txt
# Python profiling
python -m cProfile -o profile.stats app.py
python -m pstats profile.stats
# Web performance
lighthouse https://example.com --output=json
test cases passed, vs 21 / 25 without
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