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Create Meta Prompts

Checked
cfircoo·vlatest·ai-ml·MIT

Generates optimized meta-prompts to guide AI models towards desired outputs, enhancing creativity and accuracy.

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 cfircoo/claude-code-toolkit --skill create-meta-prompts -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

cfircoo

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.

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  • No pipe-to-shell installers: passed

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

  • Pinned to a commit: passed

    Scanned cfircoo/claude-code-toolkit at d6264305dc.

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

Commit
d6264305dc
Manifest
skills/create-meta-prompts/SKILL.md
Scanned
11 files, 3,007 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 allows you to generate meta-prompts, which are prompts designed to guide and improve the performance of other AI models. It helps structure complex requests by creating a layered prompting approach, enabling more nuanced control over the agent's output. The skill can be used to create instructions for an LLM or even build entire conversational flows.

When to use it

  • Complex Task Decomposition: Break down large tasks into smaller, manageable steps with clear instructions for each stage.
  • Improving Agent Consistency: Create a meta-prompt that defines the agent's role, tone, and output format across multiple interactions.
  • Building Conversational Flows: Design multi-turn conversations by crafting prompts that guide the AI through different stages of interaction.
  • Experimenting with Prompt Engineering Techniques: Quickly prototype and test various prompting strategies without manually constructing each prompt from scratch.

Key capabilities

  • Generates structured meta-prompts.
  • Supports layered prompting approaches.
  • Facilitates defining agent roles and output formats.
  • Enables creation of multi-turn conversational flows.

Example prompts

  • "Create a meta-prompt to guide an AI in writing a short story about a cat detective."
  • "Generate a structured prompt for an AI assistant that summarizes research papers, including sections for introduction, methodology, and conclusion."
  • “Design a meta-prompt sequence to help an agent debug Python code.”

Tips & gotchas

The effectiveness of this skill depends on the clarity and specificity of your initial request. Experiment with different phrasing and levels of detail when describing the desired outcome of the meta-prompt.