Comprehensive prompt engineering plugin for optimizing, analyzing, and creating prompts across multiple LLM models (Claude, GPT, Gemini)
npx claudepluginhub iButters/ClaudeCodePlugins --plugin llm-prompt-optimizerUse 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", "compare models", "model selection", or any model choice question. <example> Context: User unsure which model to use user: "Which model should I use for code generation tasks?" assistant: "I'll use the model-recommender agent to analyze your needs and suggest the best model." </example> <example> Context: User comparing models user: "Is GPT-4o or Claude Opus 4.5 better for creative writing?" assistant: "I'll use the model-recommender agent to compare these models for your use case." </example> <example> Context: User needs guidance on model choice user: "I need to process thousands of support tickets. What model should I use?" assistant: "I'll use the model-recommender agent to recommend the most efficient model for high-volume processing." </example>
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 this prompt", or when validation of a prompt is needed. <example> Context: User wants quality feedback on their prompt user: "Can you analyze this prompt and tell me what's good and what needs work?" assistant: "I'll use the prompt-analyzer agent to evaluate your prompt and provide a detailed quality report." <commentary> User wants analysis without modification, trigger prompt-analyzer for scoring and feedback. </commentary> </example> <example> Context: User wants to understand prompt weaknesses user: "What's wrong with this classification prompt? It keeps giving inconsistent results." assistant: "I'll use the prompt-analyzer agent to identify the issues causing inconsistency." <commentary> User has a problem prompt and wants diagnosis, trigger prompt-analyzer to identify issues. </commentary> </example> <example> Context: Internal validation request from another agent user: "Validate this prompt and return a quality score" assistant: "I'll use the prompt-analyzer agent to score the prompt against quality criteria." <commentary> Validation request (possibly from prompt-architect workflow), trigger prompt-analyzer for scoring. </commentary> </example>
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 refinement. <example> Context: User has a prompt that's not working well user: "This prompt keeps giving me inconsistent results. Can you make it better?" assistant: "I'll use the prompt-optimizer agent to analyze and improve your prompt systematically." <commentary> User needs prompt improvement, trigger prompt-optimizer for systematic enhancement. </commentary> </example> <example> Context: User shares prompt for optimization with target model user: "Optimize this prompt for Claude Sonnet 4.5: [prompt text]" assistant: "I'll use the prompt-optimizer agent to apply model-specific optimizations for Sonnet 4.5." <commentary> Direct optimization request with model target, trigger prompt-optimizer. </commentary> </example> <example> Context: User describes prompt problems user: "My classification prompt gives different formats every time. Help me fix it." assistant: "I'll use the prompt-optimizer agent to identify the consistency issues and apply fixes." <commentary> Specific problem with existing prompt, trigger prompt-optimizer to diagnose and fix. </commentary> </example>
Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
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Memory compression system for Claude Code - persist context across sessions
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.