The GSD Extract Learnings skill automates the critical process of post-phase analysis by distilling insights from completed project documents. By scanning artifacts such as PLAN.md, SUMMARY.md, and UAT.md, it identifies key architectural decisions, technical lessons learned, repeatable patterns, and unexpected surprises encountered during development. This skill ensures that institutional knowledge is preserved in a centralized LEARNINGS.md file, helping teams avoid past mistakes and improve the efficiency of future development cycles through structured reflection.
주요 기능
01Automated parsing of phase-specific artifacts like PLAN, SUMMARY, and UAT files
02Standardized LEARNINGS.md generation for project documentation
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04Detection of recurring patterns to improve codebase consistency
05Captures unexpected surprises and lessons learned for future reference
06Identification of key architectural and technical decisions
사용 사례
01Conducting automated technical post-mortems after completing a development sprint
02Building a project knowledge base to onboard new developers with historical context
03Improving future project planning by reviewing documented patterns and surprises