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.