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LLM response caching v1.0.0

Use this resource to cut LLM call cost and latency with a cache

New

  • 322 downloads
  • 236 likes
  • 193 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llm-response-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 designs a three-layer cache: exact match with Redis, semantic caching with GPTCache, and provider-side prompt caching for long system prompts. Examples stay incomplete until authorization and data boundaries are defined.

Mostly picked by

Updated November 2, 2026

Card for the “LLM response caching” skill

Details

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

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What you get

  • SKILL.md : the three cache layers and their trade-offs
  • SKILL.md : semantic cache examples with Qdrant and gateway-level caching

Good fit for

  • Your FAQ or support bot answers the same questions often
  • Your API costs grow with a long, stable system prompt

Not for

    Tags

    • cache
    • llm
    • cost
    • latency

    About

    You say

    “Add an exact and semantic cache to our FAQ bot, without sharing answers between users.”

    Card for the “LLM response caching” 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 LLM call cost and latency with a cache
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md13.4 KB

    Origin and licence

    Listed unmodified

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

    Notice

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

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