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Prompt Engineer

Checked
htlin222·vlatest·ai-ml·MIT

This Prompt Engineer skill helps refine AI prompts for optimal results, boosting your model's performance and accuracy across various tasks.

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 htlin222/dotfiles --skill prompt-engineer --full-depth -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

htlin222

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 htlin222/dotfiles at b7604b0cf6.

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

Commit
b7604b0cf6
Manifest
claude.symlink/archived-skills/prompt-engineer/SKILL.md
Scanned
1 file, 130 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 allows AI agents to craft effective prompts for various language models. It focuses on generating clear, concise instructions that elicit desired responses from LLMs, improving the quality and relevance of generated text. The skill aims to optimize prompt structure and content to achieve specific outcomes like summarization, creative writing, or code generation.

When to use it

  • Generating marketing copy: Create prompts for AI agents to produce engaging ad headlines or social media posts.
  • Summarizing lengthy documents: Instruct an agent to generate concise summaries of research papers or legal contracts using tailored prompts.
  • Code generation assistance: Develop prompts that guide the AI in generating code snippets based on specific requirements and programming languages.
  • Creative writing tasks: Use it to produce prompts for stories, poems, or scripts with defined styles and themes.

Key capabilities

  • Prompt optimization
  • Instruction refinement
  • Output tailoring
  • Contextual prompt generation

Example prompts

  • "Generate a prompt that asks the AI to summarize this article in three sentences."
  • "Create a prompt for generating Python code that sorts a list of numbers."
  • “Write a prompt instructing the LLM to write a short story about a cat detective.”

Tips & gotchas

The effectiveness of this skill depends on providing clear and specific instructions regarding the desired output. Experimentation with different prompt structures is encouraged to achieve optimal results for various language models.