generating-skills-from-copilot-logs

To extract reusable skills from Copilot logs, this tool analyzes chat histories to identify WHAT, HOW, and FLOW patterns across sessions, validating them against existing skills to propose generalizable candidates. It outputs SKILL.md content for selected patterns.

When generating skills from chat histories, the tool extracts WHAT, HOW, and FLOW patterns from Copilot and Claude Code sessions. This identifies recurring workflows across workspace-specific and cross-workspace datasets to propose candidate skills that generalize beyond a single project.

Yes, you can generate skills from cross-workspace Copilot log datasets. The pattern extraction applies across both workspace-specific and cross-workspace chat histories to discover recurring workflows and propose candidate skills that scale beyond a single project.

The skill generation process does mask sensitive data from chat logs. During pattern extraction and candidate proposal, sensitive information is masked to ensure safe generation of SKILL.md content from Copilot and Claude Code chat histories.

To validate generated skills against existing ones, the tool checks extracted patterns from Copilot logs against your current skill library. This safe generation mechanism computes scores and avoids duplication before outputting SKILL.md content for chosen candidates.

The best way to automate skill creation from Claude Code conversations is analyzing chat histories to extract recurring workflows. This tool identifies generalizable patterns, validates them, and integrates with the skill-creation workflow to output SKILL.md content.