SKILL

prompt-caching-strategy

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.

Target: AI & workflow automation. Automatically collected · unverified.

Excerpt from the author’s documentation

Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.

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Topics in the source

  • Prompt Caching Strategy
  • When to Activate
  • How It Works
  • Preserve a stable prefix
  • Preserve user and workspace boundaries
  • Provider Requirements and Usage Evidence
  • Cost Comparison Calculator
  • Examples

Arrange reusable prompt content to improve cache reuse, then measure input cost and latency. Savings depend on model, platform, cache eligibility, writes, retention, reuse and output volume. Runtime cache hits and savings for this skill are unmeasured; the examples below validate arithmetic without provider calls. Use for repeated API requests that share authorized instructions, tools or reference material. First identify the exact provider endpoint, model, service tier and caching mode. Consult its current documentation before selecting rates, minimum prefix length or retention. Caching does not reduce context-window use. Keep reusable instructions, tool schemas and examples stable; place changing questions, timestamps and retrieved results after that content where the API allows. Respect the provider's serialization order: Claude uses tools, system, then messages. Matching prefixes need identical content, including tool schemas and relevant request settings. A changed prefix can prevent reuse from that point. A dynamic suffix may itself be cached later if reused unchanged. Choose only relevant context. Padding prompts or broadening access just to meet an eligibility threshold nee

This is an excerpt. Refer to the complete source and its current requirements.

Source repository
affaan-m/ECC
Source file
skills/prompt-caching-strategy/SKILL.md
Fixed revision
d2ef2680594f9a17526a6e1a2e18b3d242c5d17b
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Author: affaan-m/ECC · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-09T15:01:44.248Z.

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MIT. Third-party content and copyright remain with their authors. Refer to the original license and terms.

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