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Prompt Enhancer

Checked
bear2u·vlatest·ai-ml

This skill refines your prompts for AI models, boosting response quality and relevance – a crucial tool for better 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 bear2u/my-skills --skill prompt-enhancer -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

bear2u

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 bear2u/my-skills at 8ed5784784.

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

Commit
8ed5784784
Manifest
skills/prompt-enhancer/SKILL.md
Scanned
3 files, 1,166 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 bear2u-prompt-enhancer skill refines and improves prompts provided to AI agents. It aims to generate more detailed, coherent, and useful responses by automatically adding context and structure to user input. This results in higher quality outputs for a variety of tasks.

When to use it

  • Complex requests: When you need the AI agent to perform a task requiring multiple steps or nuanced understanding.
  • Generating creative content: For writing stories, poems, or scripts where detailed instructions are needed.
  • Improving code generation: To ensure the generated code is well-documented and follows specific coding standards.
  • Data extraction & summarization: When needing to extract information from lengthy documents or create concise summaries.

Key capabilities

  • Automatic prompt refinement
  • Contextual addition
  • Structural enhancement
  • Improved output quality

Example prompts

  • "Write a short story about a cat detective."
  • "Generate Python code for a simple web server with error handling."
  • "Summarize this article: [paste article text here]"

Tips & gotchas

The skill works best when given clear and concise initial prompts. While it enhances, overly vague requests may still yield suboptimal results.