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Prompt Optimize

Checked
yyh211·vlatest·ai-ml·MIT

Refines prompts for yyh211's AI models, maximizing output quality and relevance through iterative optimization techniques.

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 yyh211/claude-meta-skill --skill prompt-optimize -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

yyh211

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 yyh211/claude-meta-skill at ba6f50c572.

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

Commit
ba6f50c572
Manifest
prompt-optimize/SKILL.md
Scanned
1 file, 231 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 optimizes prompts to improve AI agent output. It refines and restructures user input, aiming to enhance clarity and effectiveness in interactions with large language models. The goal is to elicit more accurate, relevant, and detailed responses from the AI.

When to use it

  • Generating creative content: Improve the quality of stories, poems, or scripts by refining initial prompts.
  • Complex problem-solving: Optimize prompts for tasks requiring nuanced reasoning or multi-step solutions.
  • Data extraction & analysis: Ensure precise and complete data retrieval from AI models with optimized requests.
  • Code generation: Enhance code output by clarifying the desired functionality in a prompt.

Key capabilities

  • Prompt refinement
  • Restructuring user input
  • Enhancing clarity of prompts
  • Improving AI response quality

Example prompts

  • "Optimize this prompt: 'Write a short story about a cat.'"
  • "Refine the following request for code generation: 'Create a Python function to sort a list.'"
  • "Can you improve this question for better results? 'What is the capital of France?'"

Tips & gotchas

The effectiveness of this skill depends on the initial prompt's quality. While it can significantly enhance prompts, poorly worded or ambiguous requests might still yield suboptimal results.