skill-detector

Pattern detection for skill creation works by passively monitoring conversations to identify recurring tasks and workflows. When a repetitive multi-step process is recognized, it offers to generate a dedicated, reusable AI skill to ensure consistency.

Auditing existing AI skills analyzes your current skill files to identify gaps in clarity, completeness, and trigger effectiveness. It evaluates the skills to pinpoint missing, weak, or redundant configurations and recommends improvements to enhance capabilities.

The best way to generate a SKILL.md file is through auto-drafting based on detected workflow patterns or direct user requests. This creates a complete, production-ready skill definition that captures the multi-step process for consistent AI agent execution.

Yes, you can use conversation history to recommend new AI development skills by analyzing user workflows. This pattern detection evaluates your interactions to identify suitable areas for skill creation and suggests new skills to enhance overall capabilities.

No dependencies are required to analyze workflow patterns and auto-draft skills. The Skill Detector operates independently to monitor conversations, identify recurring tasks, and generate production-ready skill files without external modules.