capture-learning

Automating documentation updates from debugging sessions involves summarizing errors, fixes, and patterns to facilitate knowledge sharing. You can use tools to extract principles from incidents and automatically add validated learnings to canonical markdown files for long-term reference.

The best way to extract generalizable principles from build failures is to review the session's detailed facts and derive lessons. By capturing specific errors and fixes, you can formulate best practices and propose updates to team-wide standards.

To create a pull request for session learnings, you document the extracted insights and use git and gh CLI to propose updates. This shares the captured knowledge to upstream documentation repositories for collective team growth.

Yes, you need gh CLI to document session errors and fixes if you intend to share them via pull requests. The process requires git and gh CLI to automate adding validated learnings to documentation repositories and propose updates.

Yes, you can use markdown parsing to capture knowledge from operational workflows. The skill applies to development and operational workflows, utilizing markdown parsing to automate learning capture and update canonical documentation files.

You should not use automated session review when a session lacks distinct errors, fixes, or patterns to document. If there are no generalizable lessons or technical insights to extract, automating knowledge capture and documentation updates will not be effective.