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prompt-caching-strategy

An AI agent skill from affaan-m/ECC, scored 84 out of 100 by code and Verified.

84/ 100BVerified

Code score by group

  • Spec20/20
  • Description19/20
  • Procedure10/15
  • Done criteria11/15
  • Resources10/10
  • Scripts2/8
  • Safety7/7
  • Upkeep5/5

It loses the most points in Scripts (6), the group that checks whether scripts are called from the steps and fail with a clear error.

What the author says it does

Optimize LLM prompt caching hit rate to reduce API costs and improve latency. Analyzes prompt structure, identifies cacheable vs non-cacheable content, and recommends restructuring to maximize cache reuse. TRIGGER when: user says "prompt cache", "cache hit rate", "reduce LLM cost", "optimize token usage", "cheaper LLM calls", or asks about prompt caching strategies for OpenAI/Anthropic/other providers. DO NOT TRIGGER when: user just wants to optimize a single prompt's quality (use prompt-optimizer instead), or asks about general caching infrastructure.

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
affaan-m/ECC
Folder
skills/prompt-caching-strategy
License
MIT
GitHub stars
301,615
SKILL.md lines
188
Other files
0

Add prompt-caching-strategy to your agent

npx skills add affaan-m/ECC --skill prompt-caching-strategy

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

Labelled for

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All skills in affaan-m/ECC

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.