performance-engineering
performance-engineering is a Backend performance & caching skill for AI agents, published by ancoleman in the ai-design-components repository on GitHub. Skillspace rates performance-engineering B (81/100) and it passed the safety scan; the rating is based on static analysis only.
When validating system performance under load, identifying bottlenecks through profiling, or optimizing application responsiveness. Covers load testing (k6, Locust), profiling (CPU, memory, I/O), and optimization strategies (caching, query optimization, Core Web Vitals). Use for capacity planning, regression detection, and establishing performance SLOs.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 387
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 2 other repositories, in 2 collections
- Scope
- Portable: works in any project. General load testing, profiling and optimization practice
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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