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Prompt Engineer

Checked
jeffallan·vlatest·ai-ml·MIT

This Prompt Engineer skill helps craft optimized AI prompts for better results – crucial for maximizing model performance and achieving desired outputs.

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 jeffallan/claude-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

jeffallan

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 jeffallan/claude-skills at 1be15d8064.

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

Commit
1be15d8064
Manifest
skills/prompt-engineer/SKILL.md
Scanned
7 files, 3,236 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 jeffallan-prompt-engineer skill provides tools and techniques to refine and optimize prompts given to AI agents, improving their ability to generate accurate, relevant, and contextually appropriate responses. It includes methods for structuring queries, clarifying intent, and enhancing the quality of interactions with language models.

When to use it

  • When you need to improve the clarity or effectiveness of your prompts for better AI-generated results.
  • When working on complex tasks that require precise instructions or multi-step reasoning from an AI agent.
  • When troubleshooting poor responses by analyzing and refining how prompts are structured.

Key capabilities

  • Prompt structuring techniques
  • Intent clarification strategies
  • Response quality optimization methods

Example prompts

  • "How can I rephrase this query to get more accurate results?"
  • "What is the best way to structure a prompt for multi-step reasoning?"
  • "Can you analyze why my AI agent isn't following instructions correctly?"

Tips & gotchas

  • This skill assumes some familiarity with how prompts influence AI behavior, so prior knowledge of basic prompting techniques may be helpful.
  • While it provides guidance, the effectiveness of the optimized prompts still depends on the specific use case and model being used.