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Prompt Caching

Checked
davila7·vlatest·ai-ml·MIT

This skill caches frequently used prompts to speed up responses and reduce API calls, boosting efficiency and performance.

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 davila7/claude-code-templates --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

davila7

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 davila7/claude-code-templates at 79182c51fb.

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

Commit
79182c51fb
Manifest
cli-tool/components/skills/ai-research/prompt-caching/SKILL.md
Scanned
1 file, 62 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

Prompt Caching

What it does

This skill enables AI agents to store and retrieve previous conversation contexts, allowing for more coherent multi-turn interactions. It prevents the agent from forgetting earlier instructions or data within a session by maintaining a cache of relevant prompts.

When to use it

  • Complex debugging sessions: Maintain context over long troubleshooting workflows where error messages evolve.
  • Iterative design reviews: Keep track of specific architectural constraints discussed at the start of a project.
  • Onboarding new agents: Preserve user preferences and style guidelines so the AI behaves consistently across different tasks.

Key capabilities

  • Stores previous prompts for immediate retrieval during active sessions.
  • Reduces latency by avoiding redundant context regeneration.
  • Enhances consistency in long-form code generation or documentation tasks.

Example prompts

  • "Recall the specific API constraints we discussed earlier and refactor this function to match them."
  • "Using the context from our previous conversation about the database schema, write a migration script."
  • "Refer to the user's preferred coding style cached in memory and generate a React component accordingly."

Tips & gotchas

Ensure you have sufficient token limits available, as caching adds overhead to the total context window size. This skill is most effective when paired with tasks requiring iterative refinement rather than one-off queries.