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Prompt Optimizer

Checked
daymade·vlatest·ai-ml·MIT

Optimizes prompts for better AI responses by suggesting refinements and variations to improve clarity & effectiveness.

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 daymade/claude-code-skills --skill prompt-optimizer -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

daymade

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 daymade/claude-code-skills at 1327636852.

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

Scanned
5 files, 1,152 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

The prompt-optimizer skill helps refine and improve AI prompts to achieve better results from language models. It analyzes existing prompts, identifies areas for improvement, and suggests optimized versions that are clearer, more specific, or better aligned with desired outcomes.

When to use it

  • When your initial prompts yield inconsistent or low-quality responses.
  • Before submitting a prompt to ensure clarity and precision.
  • When you want to improve the performance of AI-generated content such as code, text, or data analysis.
  • To reduce ambiguity in complex tasks that require precise instructions.

Key capabilities

  • Analyzes existing prompts for clarity and intent.
  • Suggests optimized versions based on best practices.
  • Helps align prompts with specific goals like coding, writing, or problem-solving.
  • Reduces the need for multiple iterations to get accurate results.

Example prompts

  • "Can you help me rewrite this prompt to make it more effective?"
  • "Optimize this instruction so the AI understands exactly what I want."
  • "Refine my query to ensure the model provides a detailed and accurate response."

Tips & gotchas

  • Provide as much context as possible when using the skill for better optimization.
  • While the tool improves prompts, it cannot guarantee perfect results—final output still depends on the AI's training and capabilities.