performance-optimization
performance-optimization is a Runtime diagnostics & profiling skill for AI agents, published by loiane in the specs-driven-development-spring-angular repository on GitHub. Skillspace rates performance-optimization D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Spring Boot 4 / JVM performance work — measure first, then fix. Profiling (async-profiler, JFR, JMH), Micrometer, common Spring antipatterns (N+1, unbounded lists, HikariCP sizing, virtual-thread pinning), caching, GC, and SLO-driven work. Used by `/plan` for risk callouts and by `/review` to flag perf regressions.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 45
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 95 / 100
- Maturity
- Basic: a single SKILL.md
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.