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Prompt Engineering

Checked
eyadsibai·vlatest·ai-ml

Crafts optimized prompts for AI models to elicit desired responses, boosting accuracy and effectiveness in your 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 eyadsibai/ltk --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

eyadsibai

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 eyadsibai/ltk at f8e85697b9.

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

Commit
f8e85697b9
Manifest
plugins/ltk-core/skills/prompt-engineering/SKILL.md
Scanned
1 file, 183 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 helps AI agents craft more effective prompts. It allows users to guide the agent's output by providing structured instructions and constraints, resulting in improved accuracy, relevance, and creativity. The skill focuses on refining prompt structure for better results from large language models.

When to use it

  • Generating creative content: Use it when you need help writing stories, poems, or scripts with specific stylistic requirements.
  • Extracting information: Employ this skill to ensure the AI agent accurately pulls key data points from a given text by structuring your request precisely.
  • Code generation: Utilize it for generating code snippets in specific languages and adhering to particular coding standards.
  • Summarization tasks: Guide the agent to produce summaries with a defined length or focus, ensuring conciseness and relevance.

Key capabilities

  • Structured prompt creation
  • Instruction refinement
  • Constraint definition
  • Output guidance

Example prompts

  • "Write a short story about a robot learning to love, using a whimsical tone."
  • "Summarize this article in three sentences, focusing on the economic impact."
  • "Generate Python code for a simple web server that handles GET requests and returns 'Hello, World!'"

Tips & gotchas

The effectiveness of this skill relies heavily on clear and specific instructions. Experiment with different prompt structures to understand how they influence the AI agent's response.