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Prompt Engineering

Checked
vamseeachanta·vlatest·ai-ml

Crafts optimized prompts for large language models to elicit desired responses – boosting accuracy and creativity in AI applications.

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 vamseeachanta/workspace-hub --skill prompt-engineering -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

vamseeachanta

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 vamseeachanta/workspace-hub at 5190ace4e5.

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

Commit
5190ace4e5
Manifest
_archive/skills/ai-prompting/prompt-engineering/SKILL.md
Scanned
4 files, 1,949 lines
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

This skill helps you craft effective prompts for AI agents. It allows you to refine instructions, specify desired output formats, and guide the agent towards more accurate and relevant responses. The skill aims to improve the quality of generated text by optimizing prompt structure and clarity.

When to use it

  • Generating creative content: Use this skill when needing assistance with writing stories, poems, or scripts where precise guidance is needed.
  • Extracting specific information: When you need an AI agent to pull data from a large document or website in a structured format.
  • Improving code generation: To guide the AI agent towards generating more accurate and functional code snippets based on your requirements.
  • Summarizing lengthy texts: When needing concise summaries of articles, reports, or meeting transcripts with specific length constraints.

Key capabilities

  • Prompt refinement
  • Output format specification
  • Instruction guidance
  • Text quality improvement

Example prompts

  • "Rewrite the following paragraph to be more persuasive and targeted towards a younger audience: [paragraph]"
  • "Summarize this article in three bullet points, focusing on the key financial takeaways: [article link]"
  • "Generate Python code for a function that sorts a list of numbers. Include comments explaining each step."

Tips & gotchas

The skill's effectiveness depends heavily on the clarity and specificity of your initial prompts. Experiment with different phrasing and levels of detail to achieve the desired results.