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Prompt Engineer

Checked
rmyndharis·vlatest·ai-ml·MIT

This skill helps craft optimized prompts for AI models, boosting response quality and unlocking greater creative potential.

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 rmyndharis/antigravity-skills --skill prompt-engineer -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

rmyndharis

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 rmyndharis/antigravity-skills at 3eff4af253.

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

Commit
3eff4af253
Manifest
skills/prompt-engineer/SKILL.md
Scanned
1 file, 270 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 rmyndharis-prompt-engineer skill helps refine and optimize prompts for AI agents. It allows users to craft more effective instructions, leading to improved output quality and accuracy from the underlying AI model. This includes restructuring prompts and providing clearer direction for desired results.

When to use it

  • Generating marketing copy: Refine a draft prompt to produce more engaging ad text or social media posts.
  • Creating code snippets: Improve a prompt requesting code generation by specifying language, style, and desired functionality.
  • Summarizing long documents: Optimize prompts for concise and accurate summaries of lengthy articles or reports.
  • Brainstorming creative content: Enhance prompts to elicit more diverse and imaginative ideas from the AI agent.

Key capabilities

  • Prompt Restructuring
  • Clearer Instruction Generation
  • Improved Output Quality
  • Increased Accuracy

Example prompts

  • "Refine this prompt for generating a blog post outline: 'Write an outline for a blog post about gardening.'"
  • "Rewrite this prompt to be more specific and get better results: 'Create some code.'"
  • “Optimize the following prompt for summarizing a research paper: [paste research paper abstract here]”

Tips & gotchas

The skill's effectiveness depends on the quality of the initial prompt. While it can improve existing prompts, starting with a well-defined request will yield even better results.