Auto Claude Optimization
ListedAdaptationio's auto-claude-optimization automatically refines Claude prompts for improved accuracy, speed, and cost efficiency.
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auto-claude-optimization. adaptationio/skrillz is deleted or private, so it cannot be installed from.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.
What we know about this skill
Publisher
adaptationio
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Install target
Live repository
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About this skill
What it does
This skill optimizes prompts for Claude AI, aiming to improve response quality and reduce token usage. It automatically refines your initial prompt based on a set of internal rules and heuristics, often resulting in more concise and effective interactions with Claude. The optimization process is designed to be transparent and maintain the original intent of the user's request.
When to use it
- Improving Claude’s output: If you find Claude’s responses are verbose or miss the mark, this skill can help refine your prompts for better results.
- Reducing token costs: By shortening prompts, the skill helps minimize the number of tokens used, which directly translates to lower API costs when using Claude.
- Experimenting with prompt engineering: Use it as a tool to understand how subtle changes in phrasing impact Claude's behavior and response quality.
- Streamlining workflows: Integrate it into automated processes where consistent and efficient interactions with Claude are required.
Key capabilities
- Automatic prompt refinement for Claude AI
- Token usage reduction
- Improved response quality
- Transparent optimization process
Example prompts
- "Optimize this prompt: 'Write a short story about a cat.'"
- "Can you refine this query for Claude? 'Explain the theory of relativity in simple terms.'"
- "Improve this instruction for Claude: 'Summarize this article and extract key takeaways.'"
Tips & gotchas
- The skill operates best with clear and concise initial prompts. Vague or overly complex requests may not benefit as much from optimization.