Retrospective Process

Analyze retrospective sessions to extract actionable learnings and generate rules and KG entries.

1|Updated Dec 10, 2025
One-click install
npx skills add https://github.com/FrancisVarga/coconut-claude-code-plugins --skill retrospective-process
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Retrospective Process
Source: https://github.com/FrancisVarga/coconut-claude-code-plugins/tree/main/coconut-rules/skills/retrospective-process
Command: npx skills add https://github.com/FrancisVarga/coconut-claude-code-plugins --skill retrospective-process

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill guides structured retrospectives to extract learnings from development sessions, turning experience into reusable rules, KG entries, and process improvements.

Core Features & Use Cases

  • Depth levels (quick, deep, ultrathink) for flexible reflections
  • Organize findings into Learning categories (Mistakes, Good Decisions, Patterns, Debugging Insights, Architectural Decisions)
  • Generate actionable outputs (Rules, KG entries) to prevent recurrence

Quick Start

After completing a session, run the retrospective to capture learnings and propose rules or KG updates.

Frequently Asked Questions about Retrospective Process

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

FAQPage Schema
How do I extract actionable learnings from development sessions?

Retrospective analysis systematically captures learnings from sessions by organizing findings into categories—mistakes, good decisions, patterns, debugging insights, and architectural decisions—then generates actionable rules and knowledge-graph entries to prevent recurrence and improve processes.

What depth levels are available for retrospective analysis?

Retrospective sessions support three depth levels: quick for rapid reflections, deep for thorough analysis, and ultrathink for comprehensive multi-dimensional examination, allowing teams to match reflection intensity to session complexity and time constraints.

Can retrospectives generate structured outputs like rules and knowledge-graph entries?

Yes, retrospective analysis produces structured outputs including categorized learnings, actionable rules, and knowledge-graph entries formatted for direct storage and integration into rule engines and organizational knowledge systems.

How do I turn session mistakes and decisions into reusable process improvements?

Retrospective process categorizes session findings into distinct learning types, then drafts concise rules and knowledge entries that capture the insight and its preventive or optimization value for future application across teams.

What types of insights can retrospectives identify?

Retrospectives extract five learning categories: mistakes to prevent, good decisions to repeat, recurring patterns, debugging insights for faster resolution, and architectural decisions for system design guidance.