Workflow Pattern Analyzer (Web)

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The Workflow Pattern Analyzer provides a comprehensive, prompt-based methodology for discovering automation opportunities within your AI usage. By utilizing native chat tools to scan conversation history, it identifies recurring structures, domain-specific tasks, and temporal trends without requiring external data exports. The skill applies a rigorous statistical framework to score potential skills based on frequency, complexity, and time-savings, ultimately generating production-ready skill specifications and prioritization matrices to streamline your personal or professional workflows.

Características Principales

• Automated generation of production-ready SKILL.md files and specifications
• Statistical validation and scoring across frequency, complexity, and time-savings
• Native chat history analysis using recent_chats and conversation_search tools
• Data-driven domain discovery that identifies niche and specialized usage patterns
• Visual prioritization mapping using frequency-versus-impact matrices
• 2 GitHub stars

Casos de Uso

• Auditing conversation history to pinpoint high-impact areas for time savings and error reduction
• Identifying recurring tasks that would benefit from formal Claude Code skill automation
• Analyzing personal AI usage trends to discover specialized knowledge domains and workflows