caching-patterns
caching-patterns is a Backend performance & caching skill for AI agents, published by ThibautBaissac in the rails_ai_agents repository on GitHub. Skillspace rates caching-patterns D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Implements HTTP caching with ETags, fragment caching, Russian doll caching, and Solid Cache configuration. Use when optimizing performance, adding caching layers, or when user mentions ETags, fresh_when, stale?, cache keys, or Russian doll caching. WHEN NOT: For Turbo Stream real-time updates (use turbo-patterns), for background job cache warming logic (use job-patterns).
- Grade
- D
- Quality
- 63 / 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
- 80 / 100
- Maturity
- Basic: a single SKILL.md
- 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
Also published in 1 other repo
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