optimizing-prompts
Execute this skill optimizes prompts for large language models (llms) to reduce token usage, lower costs, and improve performance. it analyzes the prompt, identifies areas for simplification and redundancy removal, and rewrites the prompt to be more conci... Use when optimizing performance. Trigger with phrases like 'optimize', 'performance', or 'speed up'.
npx skills add majiayu000/claude-skill-registry --skill optimizing-prompts --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Ai Ml Engineering Pack This skill provides automated assistance for ai ml engineering pack tasks. ## Overview This skill provides automated assistance for ai ml engineering pack tasks. This skill empowers Claude to refine prompts for optimal LLM performance. It streamlines prompts to minimize token count, thereby reducing costs and enhancing response speed, all while maintaining or improving output quality. ## How It Works 1. **Analyzing Prompt**: The skill analyzes the input prompt to identify areas of redundancy, verbosity, and potential for simplification. 2. **Rewriting Prompt**: It rewrites the prompt using techniques like concise language, targeted instructions, and efficient phrasing. 3. **Suggesting Alternatives**: The skill provides the optimized prompt along with an explanation of the changes made and their expected impact. ## When to Use This Skill This skill activates when you need to: - Reduce the cost of using an LLM. - Improve the speed of LLM responses. - Enhance the quality or clarity of LLM outputs by refining the prompt. ## Examples ### Example 1: Reducing LLM Costs User request: "Optimize this prompt for cost and quality: 'I would like you to create a detailed
- Overview
- How It Works
- When to Use This Skill
- Examples
- Example 1: Reducing LLM Costs
- Example 2: Improving Prompt Performance
- Best Practices
- Integration
- Prerequisites
- Instructions
- Output
- Error Handling
- Resources
What does the optimizing-prompts skill do?
Execute this skill optimizes prompts for large language models (llms) to reduce token usage, lower costs, and improve performance. it analyzes the prompt, identifies areas for simplification and redundancy removal, and rewrites the prompt to be more conci... Use when optimizing performance. Trigger with phrases like 'optimize', 'performance', or 'speed up'.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill optimizing-prompts --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.