performance-optimization
performance-optimization is a Backend performance & caching skill for AI agents, published by tmwgsicp in the vibecoding-for-beginners repository on GitHub. Skillspace rates performance-optimization D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Optimize application performance including frontend, backend, database, and deployment. Use when discussing performance issues, slow response, high resource usage, or when user mentions "性能优化"、"慢"、"卡顿"、"优化". Provides progressive optimization for full-stack applications.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 25
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
- 92 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- AGPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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