# Jeremylongshore Claude Code Plugins Plus Skills Optimizing Prompts > Ai Ml Engineering Pack - Skill: `tomevault-io/jeremylongshore-claude-code-plugins-plus-skills-optimizing-p` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/jeremylongshore-claude-code-plugins-plus-skills-optimizing-p` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/jeremylongshore-claude-code-plugins-plus-skills-optimizing-p/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/jeremylongshore-claude-code-plugins-plus-skills-optimizing-p --- # Ai Ml Engineering Pack Optimize LLM prompts for reduced token usage, lower costs, and improved output quality by identifying redundancies, simplifying instructions, and restructuring for clarity. ## Overview 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 product description for a new ergonomic office chair, highlighting its features, benefits, and target audience, and also include information about its warranty and return policy.'" The skill will: 1. Analyze the prompt for redundancies and areas for simplification. 2. Rewrite the prompt to be more concise: "Create a product description for an ergonomic office chair. Include features, benefits, target audience, warranty, and return policy." 3. Provide the optimized prompt and explain the token reduction achieved. ### Example 2: Improving Prompt Performance User request: "Optimize this prompt for better summarization: 'Please read the following document and provide a comprehensive summary of all the key points, main arguments, supporting evidence, and overall conclusion, ensuring that the summary is accurate, concise, and easy to understand.'" The skill will: 1. Identify areas for improvement in the prompt's clarity and focus. 2. Rewrite the prompt to be more direct: "Summarize this document, including key points, arguments, evidence, and the conclusion." 3. Present the optimized prompt and explain how it enhances summarization performance. ## Best Practices - **Clarity**: Ensure the original prompt is clear and well-defined before optimization. - **Context**: Provide sufficient context to the skill so it can understand the prompt's purpose. - **Iteration**: Iterate on the optimized prompt based on the LLM's output to fine-tune performance. ## Integration This skill integrates with the `prompt-architect` agent to leverage advanced prompt engineering techniques. It can also be used in conjunction with the `llm-integration-expert` to optimize prompts for specific LLM APIs. ## Prerequisites - Appropriate file access permissions - Required dependencies installed ## Instructions 1. Invoke this skill when the trigger conditions are met 2. Provide necessary context and parameters 3. Review the generated output 4. Apply modifications as needed ## Output The skill produces structured output relevant to the task. ## Error Handling - Invalid input: Prompts for correction - Missing dependencies: Lists required components - Permission errors: Suggests remediation steps ## Resources - Project documentation - Related skills and commands --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/jeremylongshore) — claim your Tome and manage your conversions.