Performance Optimizer
Performance Optimizer is a Backend performance & caching skill for AI agents, published by daffy0208 in the ai-dev-standards repository on GitHub. Skillspace rates Performance Optimizer C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Optimize application performance and scalability. Use when investigating slow applications, scaling bottlenecks, or improving response times. Covers profiling, caching, database optimization, and frontend performance.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 31
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
- 88 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 1 collections
Not checked 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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