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Caching LLM prompts and responses v1.0.0

Use this resource to cut the cost and latency of your LLM calls with caching

New

  • 312 downloads
  • 151 likes
  • 189 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llm-prompt-caching

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent reviews your LLM calls and picks between native prompt caching, response caching or cache-augmented generation (CAG). You get an invalidation plan and the cache-miss risks to watch.

Mostly picked by

Updated November 2, 2026

Card for the “Caching LLM prompts and responses” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: Anthropic prompt caching and response caching patterns
  • SKILL.md: CAG, invalidation and causes of cache misses

Good fit for

  • Your long system prompts are resent with every request
  • Your API costs grow with highly repetitive traffic

Not for

    Tags

    • caching
    • prompts
    • llm
    • latency
    • cost

    About

    You say

    “Cut my assistant's cost: the same long context is resent with every request.”

    Card for the “Caching LLM prompts and responses” skill

    Skill published by sickn33 under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to cut the cost and latency of your LLM calls with caching
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md15 KB

    Origin and licence

    Listed unmodified

    Author
    sickn33
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/prompt-caching
    Licence
    MIT

    Notice

    « prompt-caching » (sickn33, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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