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Prompt Optimizer

Checked
smallnest·vlatest·ai-ml·MIT

The Prompt Optimizer refines your AI prompts for better results by suggesting improvements and variations, boosting response quality & efficiency.

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 smallnest/langgraphgo --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

smallnest

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 smallnest/langgraphgo at 8babee09de.

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

Commit
8babee09de
Manifest
testdata/skills/prompt-optimizer/SKILL.md
Scanned
2 files, 1,072 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 smallnest-prompt-optimizer skill refines and optimizes prompts provided to AI agents. It aims to improve the quality of responses by analyzing and adjusting the input, potentially leading to more accurate, relevant, or creative outputs. This includes restructuring sentences and suggesting alternative phrasing for better clarity.

When to use it

  • Improving initial prompt results: If an AI agent's first response isn’t satisfactory, use this skill to refine your original prompt.
  • Complex instructions: For prompts with multiple steps or nuanced requests, the optimizer can help ensure the AI understands the desired outcome.
  • Generating creative content: When seeking more imaginative outputs (stories, poems, etc.), optimize the prompt for better results.
  • Debugging agent behavior: If an agent is consistently misunderstanding your intent, use this skill to diagnose and correct the underlying prompt issues.

Key capabilities

  • Prompt analysis
  • Sentence restructuring
  • Phrase suggestion
  • Improved clarity

Example prompts

  • "Optimize this prompt: 'Write a short story about a cat detective.'"
  • "Can you improve this instruction for generating an image? 'Draw a futuristic city.'"
  • "Refine the following prompt to get more detailed results: 'Summarize this article.'"

Tips & gotchas

The effectiveness of the optimizer depends on the initial quality of the prompt. While it can improve clarity, it cannot compensate for fundamentally flawed instructions or requests.