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Openai Prompt Engineer

Checked
zircote·vlatest·ai-ml

Crafts highly effective OpenAI prompts to maximize model output quality and achieve desired results for complex tasks.

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 zircote/.claude --skill openai-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

zircote

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 zircote/.claude at 0f0276a9ba.

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

Scanned
5 files, 3,575 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, zircote-openai-prompt-engineer, enhances AI agent capabilities related to interacting with OpenAI models. It allows agents to generate more effective prompts, improving response quality and accuracy. The tool is designed specifically for use with OpenAI's language models, enabling better control over the generated output.

When to use it

  • Refining complex requests: Use this skill when you need an AI agent to formulate detailed prompts for tasks like writing code or creating marketing copy.
  • Improving creative content generation: Leverage it to guide agents in generating stories, poems, or other creative text formats with specific styles and constraints.
  • Optimizing question answering: Employ this skill when you want an AI agent to craft precise questions for knowledge retrieval from large datasets using OpenAI models.
  • Debugging inaccurate responses: Utilize the skill to rephrase prompts and identify areas where prompt engineering can improve the quality of generated content.

Key capabilities

  • OpenAI model interaction
  • Prompt generation
  • Response optimization
  • Creative text formatting

Example prompts

  • "Generate a prompt for an AI agent to write a short story about a robot learning to love."
  • "Create a detailed prompt that instructs the AI to summarize this article in three bullet points."
  • “Refine this prompt: 'Write a poem.' to be more specific and generate better results.”

Tips & gotchas

This skill requires access to an OpenAI API key. The quality of the generated prompts depends heavily on the clarity and specificity of your initial instructions.