llm-application-dev-prompt-optimize
Helps your agent improve the instructions given to AI. It tests and checks changes to ensure the AI understands better.
What it does
This tool helps create better and clearer instructions for artificial intelligences. It transforms simple requests into ready-to-use instructions, optimizing performance and reducing errors.
When to use it
- ✓When you want the AI to better understand your requests.
- ✓To improve the accuracy of AI responses.
- ✓To save time and resources when using AI.
Example of what to ask your AI
“Help me create a better prompt for the AI to answer questions about cooking.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool analyzes your request, applies techniques to make it clearer and more effective, and verifies if it meets the objectives. It uses a guide with best practices to ensure the best outcome.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill llm-application-dev-prompt-optimizeOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/llm-application-dev-prompt-optimize/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Prompt Optimization
You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimization.
Use this skill when
- Working on prompt optimization tasks or workflows
- Needing guidance, best practices, or checklists for prompt optimization
Do not use this skill when
- The task is unrelated to prompt optimization
- You need a different domain or tool outside this scope
Context
Transform basic instructions into production-ready prompts. Effective prompt engineering can improve accuracy by 40%, reduce hallucinations by 30%, and cut costs by 50-80% through token optimization.
Requirements
$ARGUMENTS
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Resources
resources/implementation-playbook.mdfor detailed patterns and examples.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
FAQ
What are 'prompts'?
Prompts are the instructions or questions you give to the artificial intelligence.
Why optimize prompts?
Optimizing prompts means making them clearer and more efficient so the AI responds better, with fewer errors and faster.
What are 'hallucinations'?
Hallucinations are incorrect or made-up answers that an AI might give when it doesn't understand the instruction well or doesn't have the correct information.
Details
Original description by the author
Improve LLM prompts using task-specific evaluation, structured instructions, and regression checks.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3466
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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