gsd-extract-learnings

To extract project learnings from agile phase artifacts automatically, this Skill parses completed files like PLAN.md and SUMMARY.md to identify decisions, lessons, patterns, and surprises. It then formats this extracted text into a structured LEARNINGS.md document.

Documenting project learnings without manual effort requires automating the extraction of decisions and patterns from phase artifacts. This Skill executes a script to parse text and output a consistently formatted learnings document for your project management process.

Yes, you can use scripts to generate a structured LEARNINGS.md file from existing markdown artifacts. The Skill requires script execution to parse phase documents and format the extracted decisions and lessons into the final structured output.

Automated knowledge extraction works directly with agile project documentation by targeting phase artifacts like SUMMARY.md. It is specifically applicable to project documentation processes within agile frameworks to capture surprises and patterns.

To compile a comprehensive list of lessons after a project phase, run the Skill with the required argument to parse completed artifacts. It identifies and extracts key learnings, reducing the manual effort needed to document project outcomes.

A limitation when parsing text to extract decisions is that the Skill has a basic implementation depth and depends entirely on script execution to parse and format text from recognized phase artifacts, without advanced reasoning capabilities.