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
The skill provides a clear description of prompt optimization for LLMs with good examples and use cases. The description adequately covers what the skill does (reduce tokens, lower costs, improve performance) and when to use it. Task knowledge appears sufficient with referenced Python scripts (prompt_optimizer.py, cost_estimator.py, prompt_validator.py) that presumably contain the implementation details. The structure is reasonable though somewhat generic in places (boilerplate sections like 'Error Handling' and 'Prerequisites' lack specificity). Novelty is moderate - while prompt optimization is useful, the task itself (shortening text, removing redundancy) could be accomplished by a CLI agent with clear instructions, though having pre-built scripts and templates does add value. The skill would benefit from more specific details about optimization techniques, token counting methods, and cost calculation formulas, but referenced scripts likely contain these details.
jeremylongshore
Skill Author
Loading SKILL.md…
