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optimizing-prompts

5.8

by jeremylongshore

174Favorites
126Upvotes
0Downvotes

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'.

prompt optimization

5.8

Rating

0

Installs

AI & LLM

Category

Quick Review

This skill provides a solid foundation for prompt optimization with clear examples and use cases. The description adequately explains what the skill does (analyzing and rewriting prompts to reduce tokens and costs). The two concrete examples demonstrate the process well. However, taskKnowledge is limited as the actual implementation details, analysis techniques, and rewriting algorithms are not specified - it describes what should happen but not how. The structure is reasonable but somewhat cluttered with generic boilerplate sections (Prerequisites, Error Handling) that add little value. Novelty is moderate: while prompt optimization is useful, the described functionality (making prompts more concise) could largely be accomplished by a capable CLI agent with appropriate instructions, though this skill may save tokens by codifying best practices. The skill would benefit from more concrete implementation details or referenced scripts that encode specific optimization techniques.

LLM Signals

Description coverage7
Task knowledge6
Structure6
Novelty5

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

jeremylongshore avatar
jeremylongshore

Skill Author

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