extract-learnings

Extract decisions, lessons learned, patterns discovered, and surprises encountered from completed phase artifacts into a structured LEARNINGS.md file. Captures institutional knowledge that would other

定位

Extract decisions, lessons learned, patterns discovered, and surprises encountered from completed phase artifacts into a structured LEARNINGS.md file. Captures institutional knowledge that would otherwise be lost between phases.

核心流程/章节

• initialize
• collect_artifacts
• extract-learnings
• capture_thought_integration
• write_learnings
• update_state
• report

原文要点

Parse arguments and load project state: bash INIT=$(gsd-sdk query init.phase-op "${PHASE_ARG}") if [[ "$INIT" == @file:* ]]; then INIT=$(cat "${INIT#@file:}"); fi Parse from init JSON: phase_found, phase_dir, phase_number, phase_name, padded_phase. If phase not found, exit with error: "Phase {PHASE_ARG} not found." Read the phase artifacts. PLAN.md and SUMMARY.md are required; VER

适用场景

• 基于 description 推断：Extract decisions, lessons learned, patterns discovered, and surprises encountered from completed phase artifacts into a structured LEARNINGS.md file.

参见

• GitHub: get-shit-done