skill-discovery

To identify repeating work patterns from git commit history, this Skill analyzes your commits, diff patterns, and progress logs to detect recurring workflows like dependency updates or bug reproduction, proposing them as new encapsulated skills.

Turning recurring workflows into standardized skills involves analyzing spec history and evolution logs to find repetition, then generating a formatted proposal with phase-driven steps, inputs, and expected outputs aligned with the skill generation workflow.

Yes, you can generate a SKILL.md proposal from issue tracking and session logs. The Skill examines this history to detect common scenarios, outputting a structured frontmatter and detailed plan ready for skill generation.

Skill discovery works without external dependencies or components. It operates independently to analyze your historical work data, including commits and progress logs, to produce ready-to-build skill proposals.

You should analyze work history to propose new automation skills when you notice recurring processes across sessions and spec evolution. It helps standardize repeatable workflows like feature standardization into structured, reusable formats.