Skip to content
TrustedSkillsbeta
Back to all skills

Prompt Optimization

Checked
fusengine·vlatest·ai-ml·MIT

Fusengine's fusengine-prompt-optimization refines prompts to maximize LLM output quality, accuracy, and relevance for improved results.

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 fusengine/agents --skill prompt-optimization -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

fusengine

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 fusengine/agents at 980930ea9c.

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

Commit
980930ea9c
Manifest
plugins/prompt-engineer/skills/prompt-optimization/SKILL.md
Scanned
4 files, 200 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 for more accurate, relevant, and higher-quality responses from language models. The tool focuses on clarity and efficiency in prompt construction, reducing ambiguity and guiding the AI towards desired outcomes.

When to use it

  • Generating marketing copy: Improve ad text or social media posts by ensuring prompts are clear and compelling.
  • Creating technical documentation: Refine instructions for complex processes to ensure the AI understands and generates accurate steps.
  • Developing chatbot dialogues: Optimize user queries to elicit more helpful and relevant responses from a conversational agent.
  • Summarizing lengthy documents: Craft precise prompts that guide the AI to extract key information effectively.

Key capabilities

  • Prompt refinement
  • Restructuring of input
  • Clarity enhancement
  • Efficiency optimization

Example prompts

  • "Optimize this prompt for generating a product description: 'Write about our new widget.'"
  • "Refine the following query to get better results from a chatbot: 'Tell me about shipping costs.'"
  • “Can you restructure this request to improve its clarity? ‘Summarize this article.’”

Tips & gotchas

The skill’s effectiveness depends on the initial prompt quality; poorly worded or ambiguous requests may still yield suboptimal results. Consider providing context and desired output format for best optimization.