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'.
5.8
Rating
0
Installs
AI & LLM
Category
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.
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