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Llm Application Dev Prompt Optimize

Checked
rmyndharis·vlatest·ai-ml·MIT

Helps with LLMs, optimization as part of building AI and machine learning applications workflows.

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 rmyndharis/antigravity-skills --skill llm-application-dev-prompt-optimize -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

rmyndharis

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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.

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  • No pipe-to-shell installers: passed

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  • Pinned to a commit: passed

    Scanned rmyndharis/antigravity-skills at 3eff4af253.

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

Commit
3eff4af253
Manifest
skills/llm-application-dev-prompt-optimize/SKILL.md
Scanned
2 files, 586 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 optimizes prompts for Large Language Model (LLM) application development. It refines and improves existing prompts to enhance the quality, relevance, and accuracy of LLM outputs. The tool aims to boost efficiency in building AI applications by ensuring prompts elicit desired responses from LLMs.

When to use it

  • You're experiencing inconsistent or unsatisfactory results from your current LLM prompts.
  • You want to improve the performance of an existing LLM-powered application.
  • You need to generate more targeted and relevant content using an LLM.
  • You are looking for ways to reduce costs associated with LLM usage by improving prompt efficiency.

Key capabilities

  • Prompt refinement
  • Output quality enhancement
  • Relevance improvement
  • Accuracy optimization

Example prompts

  • "Optimize this prompt: 'Write a short story about a cat.'"
  • "Refine the following prompt to get more detailed responses: 'Summarize this article.'"
  • "Improve this prompt for generating marketing copy: 'Create an ad for our new product.'"

Tips & gotchas

The skill works best with clear and concise prompts. Providing context or examples of desired output can further improve optimization results.