claude

llm-prompt-optimizer

Comprehensive prompt engineering plugin for optimizing, analyzing, and creating prompts across multiple LLM models (Claude, GPT, Gemini)

3 on GitHubby iButtersv1.0.0MITupdated 10 months ago
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Plugin llm-prompt-optimizer from marketplace claude-code-plugins in iButters/ClaudeCodePlugins. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (1)

  • prompt-engineer

    This skill should be used when the user asks to "create a prompt", "optimize a prompt", "improve this prompt", "engineer a prompt", "prompt engineering best practices", "make this prompt better", "recommend a model", "which model should I use", "best model for", "GPT vs Claude", "Opus vs Sonnet", "H

Slash commands (3)

  • /llm-prompt-optimizer:analyze-prompt

    Analyze a prompt and get detailed feedback without modification

  • /llm-prompt-optimizer:optimize-prompt

    Optimize an existing prompt for better LLM performance

  • /llm-prompt-optimizer:recommend-model

    Get model recommendations for your specific use case

Subagents (3)

  • model-recommender

    Use this agent when the user asks for model recommendations, wants to choose the best model for a task, compares models, or needs guidance on which LLM to use. Trigger on phrases like "which model should I use", "recommend a model", "best model for", "should I use Opus or Sonnet", "GPT vs Claude", "

  • prompt-analyzer

    Use this agent when the user wants to analyze a prompt's quality without modifying it, get a quality score, or understand what's working and what needs improvement. Trigger on phrases like "analyze this prompt", "score this prompt", "evaluate prompt quality", "review my prompt", "what's wrong with t

  • prompt-optimizer

    Use this agent when the user wants to improve, enhance, or optimize an existing prompt for better performance. Trigger on phrases like "optimize this prompt", "make this prompt better", "improve prompt quality", "fix my prompt", "enhance this prompt", or when user shares a prompt that needs refineme

View source on GitHub

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