prompt-caching

Quick Review

The skill addresses a valuable niche (LLM prompt caching strategies) with clear structure and good categorization of capabilities. However, it lacks concrete implementation details, code examples, or actionable steps. The SKILL.md provides conceptual frameworks (Anthropic caching, CAG, response caching) but doesn't include sufficient task knowledge for a CLI agent to actually implement these strategies. Anti-patterns and sharp edges are listed but under-explained. The novelty is moderate—while caching strategies are useful, the skill currently reads more as a conceptual guide than a tool that meaningfully reduces agent token usage through executable knowledge. To improve: add concrete implementation patterns, API usage examples, cache key strategies, and decision trees for when to apply each caching type.