try-learn-skill

What problem does it solve?

This Skill helps decide whether a finished feature contains a repeatable procedure worth turning into a learned skill, instead of capturing obvious one-off work that will not help next time.

Core Features & Use Cases

• Candidate evaluation: Reviews planning, task artifacts, and git diffs to judge whether a workflow is truly reusable.
• High-threshold filtering: Rejects generic implementation steps and only keeps non-obvious procedures with durable value.
• Ledger-first learning: Records first sightings as candidates, promotes repeated patterns into learned skills, and avoids collisions with existing static skills.
• Use case: After a feature is complete, use this Skill to determine whether the team discovered a reliable procedure for future projects or just completed normal engineering work.

Quick Start

Ask this Skill to review the completed feature artifacts and tell you whether there is a reusable procedure to learn.