distilling-plan-learnings

Extract decisions, rejected alternatives, and patterns from Claude Code plan files.

2|1|Updated Feb 22, 2026
One-click install
npx skills add https://github.com/qte77/claude-code-plugins --skill distilling-plan-learnings
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: distilling-plan-learnings
Source: https://github.com/qte77/claude-code-plugins/tree/main/plugins/cc-meta/skills/distilling-plan-learnings
Command: npx skills add https://github.com/qte77/claude-code-plugins --skill distilling-plan-learnings

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Distills decisions, rejected alternatives, and recurring patterns from Claude Code plan files into a persistent learnings document.

Core Features & Use Cases

  • Extracts decisions made, alternatives rejected, and patterns discovered from plan text.
  • Appends structured learnings to a central documentation file (default docs/learnings/from-plans.md).
  • Supports time-bounded or sprint-bound review by grouping learnings per plan.

Quick Start

Run distilling-plan-learnings on the most recent plans to generate a learning summary and append it to docs/learnings/from-plans.md.

Frequently Asked Questions about distilling-plan-learnings

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

FAQPage Schema
How do I extract decisions and rejected alternatives from plan files for knowledge management?

You can extract decisions, rejected alternatives, and recurring patterns from plan files by parsing the text and appending structured learnings to a central documentation file for persistent knowledge management.

What's the best way to document learnings from Claude Code plans after a sprint review?

Documenting learnings from Claude Code plans during sprint reviews involves reading plan files from the plans directory, grouping extracted decisions and patterns per plan, and appending them to a designated learnings file.

Can I generate a learning summary from multiple plan files at once?

Yes, you can generate a learning summary from multiple plan files by reading them from the plans directory, extracting structured decisions and patterns from each, and appending the consolidated output to a documentation file.

How does distilling plan learnings work for post-plan reviews?

Distilling plan learnings for post-plan reviews works by reading plan text, extracting decisions made, alternatives rejected, and patterns discovered, then formatting and appending the structured output to a central documentation file.

Do I need any dependencies to extract structured learnings from plan files?

No external dependencies are required to extract structured learnings from plan files; the process reads plan files directly from the local plans directory and appends formatted output to a documentation file.

What is the default output location for extracted plan learnings?

The default output location for extracted plan learnings is a designated documentation file at docs/learnings/from-plans.md, where structured decisions and patterns are appended for persistent knowledge management.