Skip to content
TrustedSkillsbeta
Back to all skills

Prompt Engineering

Checked
giuseppe-trisciuoglio·vlatest·ai-ml·MIT

This skill optimizes AI prompts for better responses by refining instructions and techniques – crucial for maximizing model performance.

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 giuseppe-trisciuoglio/developer-kit --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

giuseppe-trisciuoglio

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 giuseppe-trisciuoglio/developer-kit at fe73fb33a0.

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

Commit
fe73fb33a0
Manifest
plugins/developer-kit-ai/skills/prompt-engineering/SKILL.md
Scanned
6 files, 2,423 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 provides advanced prompt engineering techniques to optimize interactions with AI models. It enables users to craft precise, effective prompts that guide AI agents toward accurate and contextually relevant responses.

When to use it

  • When you need to refine vague or ambiguous queries for better AI output
  • To generate highly specific instructions for complex tasks like code generation or content creation
  • When training AI agents to follow strict formatting or domain-specific rules

Key capabilities

  • Advanced prompt structuring techniques
  • Contextual instruction refinement
  • Optimization of query clarity and specificity

Example prompts

  • "Generate a Python script that sorts a list of numbers using bubble sort, with comments explaining each step."
  • "Rewrite this paragraph in formal business language while preserving the original meaning."
  • "Create a detailed outline for a 10-page research paper on climate change impacts."

Tips & gotchas

  • Start with clear and concise instructions to avoid confusion.
  • Test variations of prompts to find the most effective phrasing for your use case.