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gsd-extract-learnings

Extract decisions, lessons, and patterns from project phase artifacts into LEARNINGS.md.

1|Updated Apr 4, 2026
Search Tags:#workflow#documentation#knowledge management#retrospective#project analysis#gsd
One-click install
npx skills add https://github.com/nnexai/git-stacks --skill gsd-extract-learnings-nnexai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gsd-extract-learnings
Source: https://github.com/nnexai/git-stacks/tree/main/.codex/skills/gsd-extract-learnings
Command: npx skills add https://github.com/nnexai/git-stacks --skill gsd-extract-learnings-nnexai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of fragmented project knowledge by automatically consolidating decisions, lessons, and patterns from disparate phase artifacts into a single, actionable learning document.

Core Features & Use Cases

  • Artifact Synthesis: Aggregates data from PLAN.md, SUMMARY.md, VERIFICATION.md, UAT.md, and STATE.md.
  • Structured Extraction: Identifies and categorizes key decisions, surprises, and patterns discovered during development phases.
  • Use Case: After completing a complex feature sprint, use this skill to generate a comprehensive LEARNINGS.md file that captures institutional knowledge for future reference and team retrospectives.

Quick Start

Invoke the gsd-extract-learnings skill to analyze the current project directory and generate a consolidated learnings report.

Frequently Asked Questions about gsd-extract-learnings

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I consolidate project decisions and lessons from multiple markdown artifacts into one document?▼

Extracting project learnings aggregates data from VERIFICATION.md, UAT.md, and STATE.md phase artifacts, categorizing key decisions, surprises, and development patterns into a single actionable document.

What is the best way to automate a retrospective from phase summary documents?▼

You can automate retrospective generation by synthesizing project history from phase artifacts, extracting structured insights like lessons and decisions into a consolidated LEARNINGS.md file for team reference.

Do I need Codex agent orchestration to parse markdown artifacts and extract project insights?▼

Codex agent orchestration is required to parse markdown artifacts and maintain context across multiple project files, operating within the GSD workflow framework to synthesize project history.

Can I use this knowledge management workflow for sprint planning and state files?▼

This workflow extracts structured insights from sprint planning and state files, aggregating data from phase artifacts to generate a consolidated learnings report for future reference.

What are the limitations of extracting learnings from fragmented project knowledge?▼

Extracting learnings from fragmented project knowledge is limited by the availability of phase artifacts, requiring markdown files like UAT.md and STATE.md to synthesize a comprehensive learning document.

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