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Prompt Optimizer

Checked
testany-io·vlatest·ai-ml·MIT

Optimizes AI prompts for better results by refining phrasing and instructions – boosting your model’s performance and 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 testany-io/testany-agent-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

testany-io

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 testany-io/testany-agent-skills at f9b3e6fc89.

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

Commit
f9b3e6fc89
Manifest
plugins/testany-llm/skills/prompt-optimizer/SKILL.md
Scanned
2 files, 114 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 TestAny Prompt Optimizer skill refines and improves prompts for large language models. It analyzes existing prompts, identifies areas for enhancement, and suggests modifications to increase clarity, relevance, and overall effectiveness. The tool aims to boost the quality of LLM outputs by optimizing the input instructions.

When to use it

  • Improving inconsistent responses: Use when an AI agent consistently provides unsatisfactory or varied answers to a specific prompt.
  • Refining complex tasks: Apply when you need to break down intricate requests into more manageable and precise prompts for better results.
  • Optimizing for cost-effectiveness: Employ this skill to reduce token usage by streamlining prompts, potentially lowering API costs.
  • Enhancing creative writing: Use it to generate more compelling narratives or content by optimizing the initial prompt given to a generative AI model.

Key capabilities

  • Prompt analysis and suggestion generation
  • Identification of areas for prompt improvement
  • Refinement of prompts for clarity and relevance
  • Potential reduction in token usage

Example prompts

  • "Optimize this prompt: 'Write a short story about a cat.'"
  • "Can you improve the following prompt to get more detailed results? 'Summarize this article.'"
  • "Analyze this prompt and suggest ways to make it more efficient: 'Translate this sentence into French, then explain the grammatical differences.'"

Tips & gotchas

The effectiveness of the optimizer depends on the quality of the initial prompt; poorly written prompts may yield limited improvements. Consider providing context or specific goals when requesting optimization for best results.