performance-optimization
performance-optimization is a Backend performance & caching skill for AI agents, published by ThibautBaissac in the rails_ai_agents repository on GitHub. Skillspace rates performance-optimization D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Identifies and fixes Rails performance issues including N+1 queries, slow queries, and memory problems. Use when optimizing queries, fixing N+1 issues, improving response times, or when user mentions performance, slow, optimization, or Bullet gem. WHEN NOT: Caching-specific patterns (use caching-strategies), adding new features, or general code quality improvements unrelated to speed.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 663
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
- 78 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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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