Evaluator Optimizer
This Evaluator Optimizer intelligently refines prompts and responses for better quality and relevance, boosting AI performance and user satisfaction.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add evaluator-optimizer npx -- -y @trustedskills/evaluator-optimizer
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"evaluator-optimizer": {
"command": "npx",
"args": [
"-y",
"@trustedskills/evaluator-optimizer"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The evaluator-optimizer skill analyzes a given output and iteratively refines it based on specified criteria. It can assess text for qualities like clarity, conciseness, or adherence to specific formatting guidelines. The core function is to provide feedback and suggest improvements to achieve a desired outcome through repeated cycles of evaluation and optimization.
When to use it
- Improving writing quality: Refine drafts of articles, emails, or reports to enhance readability and impact.
- Code generation refinement: Optimize generated code snippets for efficiency, clarity, or adherence to coding standards.
- Content summarization enhancement: Improve the accuracy and conciseness of automatically generated summaries.
- Creative writing assistance: Iterate on story elements like plot points or character descriptions based on feedback criteria.
Key capabilities
- Iterative refinement loops
- Evaluation against specified criteria
- Feedback generation
- Optimization suggestions
Example prompts
- "Evaluate this paragraph for clarity and suggest improvements: [paragraph text]"
- "Refine this code snippet to be more efficient: [code snippet]"
- "Optimize this summary to be more concise while retaining key information: [summary text]"
Tips & gotchas
The effectiveness of the evaluator-optimizer skill depends heavily on clearly defining the evaluation criteria. Vague or ambiguous instructions will likely lead to suboptimal results.
Tags
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