Skip to content
TrustedSkillsbeta
Back to all skills

Prompt Caching

Checked
lobbi-docs·vlatest·ai-ml·MIT

Prompt Caching stores and reuses frequently used prompts for faster responses & reduced API costs – a valuable efficiency tool.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add thelobbi/claude --skill prompt-caching -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

lobbi-docs

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned lobbi-docs/claude at 1f04f9b061.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
1f04f9b061
Manifest
.claude/skills/prompt-caching/SKILL.md
Scanned
1 file, 218 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to store and reuse previous prompts and responses, effectively creating a memory. This reduces token usage by avoiding redundant requests and allows the agent to maintain context across multiple interactions. It's particularly useful for complex tasks requiring iterative refinement or maintaining a consistent persona.

When to use it

  • Complex workflows: When an agent needs to perform a series of related actions, caching prompts ensures consistency and avoids repeating initial setup steps.
  • Iterative design processes: For refining outputs (e.g., writing, coding), the agent can store previous iterations and build upon them efficiently.
  • Maintaining persona or roleplay: Caching helps preserve character details and responses over extended conversations.
  • Reducing token costs: Reusing prompts significantly lowers the number of tokens consumed in a conversation.

Key capabilities

  • Prompt caching
  • Response caching
  • Contextual memory across interactions
  • Token usage reduction

Example prompts

  • "Remember this prompt: 'Summarize the following article...' and use it again later."
  • "Retrieve the last prompt I gave you about [topic]."
  • "Can you show me the cached responses for our conversation so far?"

Tips & gotchas

  • The effectiveness of caching depends on the consistency of prompts; slight variations can prevent reuse.
  • Be mindful of privacy and security when storing sensitive information in cached prompts or responses.