caching-strategies
caching-strategies is a Backend frameworks skill for AI agents, published by ThibautBaissac in the rails_ai_agents repository on GitHub. Skillspace rates caching-strategies D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Implements Rails caching patterns for performance optimization. Use when adding fragment caching, Russian doll caching, low-level caching, cache invalidation, or when user mentions caching, performance, cache keys, or memoization. WHEN NOT: General query optimization (use performance-optimization), background job processing, or problems caused by N+1 queries rather than missing caches.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 663
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
- 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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