performance
performance is a Backend performance & caching skill for AI agents, published by krzysztofsurdy in the code-virtuoso repository on GitHub. Skillspace rates performance C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Application performance optimization patterns and profiling-driven methodology. Use when the user asks to optimize application speed, reduce latency, diagnose slow queries, fix N+1 problems, implement caching layers, profile memory usage, tune database queries, apply lazy loading, configure connection pooling, or set performance budgets. Covers CPU and memory profiling, caching strategies (application, HTTP, CDN), query optimization, indexing, and load testing approaches.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 20
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- 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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