learning-capture

To capture recurring learnings, the skill analyzes work sessions to identify high-value moments like novel problem-solving approaches or workflow optimizations, then generates a draft skill structure using templates for user review.

The recognition framework detects novel problem-solving approaches, repeated patterns, domain knowledge, effective reasoning patterns, and workflow optimizations, evaluating each against capture criteria to determine its reuse value.

The ROI evaluation framework assesses identified learning moments against specific capture criteria to determine whether they offer enough value and reuse potential to justify generating a draft skill for the knowledge base.

The best way to turn repeated workflow patterns into structured templates is by applying the recognition framework to detect the patterns and automatically generating a draft skill using the appropriate built-in template for review.

No, you do not need to manually format draft skills. When a learning moment is captured, the skill automatically applies the appropriate template to generate a structured draft ready for your review.

You should avoid relying solely on automated knowledge capture when a learning moment fails the ROI evaluation framework, meaning the domain expertise or reasoning pattern lacks sufficient reuse value to justify a new skill.