Analyze session activity to extract actionable learning insights.
npx skills add https://github.com/dcarmitage/claws --skill learn-dcarmitage
Please help me install this Agent Skill. Skill: learn Source: https://github.com/dcarmitage/claws/tree/main/skills/learn Command: npx skills add https://github.com/dcarmitage/claws --skill learn-dcarmitage
This Skill helps you quickly identify and articulate the concrete learnings from a session, turning raw activity into a clear diagnostic of what was learned, why it matters, and potential next steps.
Invoke this skill to generate a learning diagnosis from the most recent session data.
High-intent search queries and answers about installing and using this skill.
To extract actionable insights from a session, you analyze recent activity and context to trace actions and decisions, producing a structured diagnostic of what was learned and why it matters. This surfaces concrete patterns for future work.
Reviewing session activity for knowledge management involves diagnosing raw actions and outcomes to articulate clear learnings. This process connects session results to future goals, generating a structured note that highlights improvements in planning or execution.
Yes, you can generate a post-session learnings note without external tooling. The analysis operates entirely on provided session data and existing context to surface patterns and actionable insights for continuous learning workflows.
Pattern detection during a session review works by examining recent activity, existing knowledge, and context. It traces specific actions and outcomes to reveal concrete learnings, connecting them to potential next steps and future improvements.
You need to run a learning diagnosis on session data after completing a mentoring or development session. It transforms raw activity into a clear diagnostic of what was learned, turning unstructured work into actionable knowledge for future planning.
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