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Prompt Engineer

Listed
sickn33·vlatest·ai-ml·MIT

This Prompt Engineer skill crafts 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 sickn33/agentic-awesome-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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Commit
5a4cdd9df8
Manifest
skills/prompt-engineer/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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 prompt-engineer skill enables users to craft, refine, and optimize prompts for AI agents. It provides tools and techniques to improve the clarity, specificity, and effectiveness of prompts, leading to more accurate and useful responses from AI models.

When to use it

  • When you need to generate high-quality outputs from an AI model but are struggling with vague or ambiguous prompts.
  • Before deploying an AI agent for a complex task that requires precise instructions.
  • When iterating on prompt designs to improve performance across multiple tasks or domains.
  • To teach others how to construct effective prompts for their own AI workflows.

Key capabilities

  • Prompt refinement and optimization techniques
  • Template creation for consistent prompting
  • Feedback loops for iterative improvement
  • Best practices for clarity, specificity, and context inclusion

Example prompts

  • "Help me rephrase this prompt to get more accurate results from the AI model."
  • "Generate a template for creating prompts that ask for step-by-step reasoning."
  • "What are some best practices for writing prompts that elicit detailed responses?"

Tips & gotchas

  • Start with simple, clear prompts before adding complexity.
  • Use feedback from AI outputs to iteratively improve your prompts.