skills.rest
BeiBei-Clic
BeiBei-ClicCOMMUNITY
Explore all skills by this author →
GitHub

gsd-extract-learnings

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

Updated Aug 27, 2026
Search Tags:#knowledge capture#learnings#phase management#project review#markdown reporting#workflow artifacts
One-click install
npx skills add https://github.com/BeiBei-Clic/ai-skills --skill gsd-extract-learnings-beibei-clic
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gsd-extract-learnings
Source: https://github.com/BeiBei-Clic/ai-skills/tree/main/gsd-extract-learnings
Command: npx skills add https://github.com/BeiBei-Clic/ai-skills --skill gsd-extract-learnings-beibei-clic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you avoid wasting valuable project outcomes by converting completed phase artifacts into structured, reusable learnings you can apply next time.

Core Features & Use Cases

  • Decision extraction: Pulls out key decisions made during PLAN/SUMMARY/verification-oriented artifacts.
  • Lesson and pattern mining: Identifies lessons learned, recurring patterns, and notable surprises from completed phase materials.
  • Single deliverable: Produces a consolidated LEARNINGS.md that makes review and knowledge transfer straightforward for teams.

Real-world example: after closing a project phase, you can generate LEARNINGS.md to capture why certain choices were made, what worked or failed, and what surprised the team—so the next phase starts with better context.

Quick Start

Ask the skill to extract learnings from phase artifacts by running it with the phase number you want to summarize.

Frequently Asked Questions about gsd-extract-learnings

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

FAQPage Schema
How do I extract learnings from completed project phase artifacts?▼

To extract learnings from completed project phase artifacts, execute the end-to-end workflow with a specified phase-number argument to parse materials and produce a consolidated LEARNINGS.md file.

What is the best way to capture project decisions and lessons learned in markdown?▼

Capturing project decisions and lessons learned in markdown requires mining PLAN.md and SUMMARY.md files to identify recurring patterns, notable surprises, and key choices for team knowledge transfer.

Do I need specific workflow artifacts to generate a phase review report?▼

Yes, generating a phase review report requires completed workflow artifacts including PLAN.md, SUMMARY.md, VERIFICATION.md, UAT.md, and STATE.md files from the finished project phase.

Can I automate knowledge capture after a project phase completes?▼

You can automate knowledge capture after a project phase completes by running the extraction workflow against your phase artifacts, which automatically consolidates insights into a single markdown report.

What file format does the phase learnings extraction produce?▼

The phase learnings extraction produces a LEARNINGS.md file, which provides a structured markdown deliverable containing extracted decisions, lessons, patterns, and surprises for review.

Related Skills

Explore More Product & Management Skills→
hadpadrahulhadpadrahul

gsd-extract_learnings

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

Community
Intermediate
aslaiiaslaii

gsd-extract_learnings

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

Community
Advanced
ThiagoVitaleThiagoVitale

gsd-extract-learnings

Extract structured learnings from GSD phase artifacts into a LEARNINGS.md file.

Community
Intermediate
mkalhitti-cloudmkalhitti-cloud
2

trading-knowledge-vault

Enforce mandatory lessons-learned reviews before NinjaTrader code changes.

Community
Advanced