Does this skill work with other Claude Code plugins?

Yes, it integrates with the prompt-architect agent and the llm-integration-expert to provide a comprehensive engineering workflow.

Can I use this for any Large Language Model?

Yes, while the skill is used within Claude Code, the optimized prompts are generally more effective and efficient across all major LLMs.

Will optimizing a prompt decrease output quality?

No, the skill uses efficient phrasing and targeted instructions to maintain or even improve the accuracy and relevance of the AI's response.

What are the trigger terms for this skill?

You can activate the skill using phrases such as 'optimize prompt', 'reduce LLM cost', 'improve prompt performance', or 'rewrite prompt'.

How does this skill reduce LLM costs?

It identifies and removes redundant text and unnecessary verbosity from prompts, significantly reducing the total token count sent to the API.

LLM Prompt Optimizer

Name: LLM Prompt Optimizer
Author: jeremylongshore

byjeremylongshore

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884

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Data Science & ML

Refines LLM prompts to minimize token usage, reduce operational costs, and maximize output quality through intelligent rewriting.

The LLM Prompt Optimizer skill empowers Claude to analyze and rewrite prompts for peak efficiency. By identifying redundancies and verbosity, it streamlines instructions to lower token consumption and improve response speed without sacrificing accuracy. This skill is indispensable for developers managing high-volume LLM interactions or those seeking to fine-tune model performance through advanced prompt engineering techniques, ensuring that every token contributes meaningfully to the final output.

Key Features

01Token usage reduction and cost optimization

02Prompt redundancy and verbosity analysis

03Response speed and latency enhancement

04884 GitHub stars

05Performance-driven prompt rewriting

06Integration with advanced prompt-architect agents

Use Cases

01Lowering monthly LLM API bills by minimizing input token counts

02Accelerating LLM response times for latency-sensitive production apps

03Improving the clarity and success rate of complex summarization tasks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills ai-ml-engineering-pack

For use in Claude.ai and ChatGPT

Download Skill

Key Features

01Token usage reduction and cost optimization

02Prompt redundancy and verbosity analysis

03Response speed and latency enhancement

04884 GitHub stars

05Performance-driven prompt rewriting

06Integration with advanced prompt-architect agents

Use Cases

01Lowering monthly LLM API bills by minimizing input token counts

02Accelerating LLM response times for latency-sensitive production apps

03Improving the clarity and success rate of complex summarization tasks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills ai-ml-engineering-pack

For use in Claude.ai and ChatGPT

Download Skill