rrr

Generate structured session retrospectives and lessons learned from coding sessions.

116|56|Updated Jan 18, 2026

Search Tags:#learning #AI #retrospective #memory #reporting #session #diary

Ready to run

npx skills add https://github.com/Soul-Brews-Studio/oracle-skills-cli --skill rrr

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: rrr
Source: https://github.com/Soul-Brews-Studio/oracle-skills-cli/tree/main/src/skills/rrr
Command: npx skills add https://github.com/Soul-Brews-Studio/oracle-skills-cli --skill rrr

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams capture and formalize learning from sessions by generating AI diaries, timelines, and structured retrospectives, reducing memory loss and enabling knowledge transfer.

Core Features & Use Cases

Quick Retrospective: Generate a concise session summary and AI diary using the default flow.
Detailed Template: Produce a full retrospective with timeline, files changed, architecture notes, and honest feedback.
Deep Analysis (rrr --deep): Orchestrate five parallel agents per DEEP.md to extract patterns, learnings, and past context.
Output & Sync: Writes results to ψ/memory locations and can trigger Oracle sync after lessons learned.

Quick Start

Use /rrr to generate a quick retrospective. Use /rrr --detail for a full template. Use /rrr --deep to activate the 5-actor deep analysis as described in DEEP.md.

Frequently Asked Questions about rrr

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

FAQPage Schema

How do I automate session retrospectives and lessons learned from coding work?▼

Automate session retrospectives by generating structured lessons learned, AI diaries, and timelines from your coding or team work sessions. This reduces memory loss and enables knowledge transfer by formalizing learning into structured artifacts.

What is the difference between a quick retrospective and a deep multi-agent analysis?▼

A quick retrospective uses the default single-agent flow to generate a concise session summary and AI diary. Deep analysis orchestrates five parallel agents to extract patterns, learnings, and past context from complex sessions.

How do I generate a detailed retrospective template with timeline and architecture notes?▼

Generate a detailed retrospective template by running the full retrospective flow. This produces a comprehensive report including the session timeline, files changed, architecture notes, and honest feedback based on your work session.

Can I trigger an Oracle sync after generating lessons learned from a session?▼

Yes, you can trigger an Oracle sync after generating lessons learned. The skill writes retrospective results to designated memory paths and can initiate this sync to ensure your knowledge base is updated.

When should I use deep analysis for my session retrospective instead of the default flow?▼

Use deep analysis for complex sessions requiring pattern extraction and past context retrieval. The deep multi-agent workflow orchestrates five parallel agents, whereas the default single-agent flow is enforced for standard, quick retrospective generation.

Does this session retrospective tool require any external dependencies or components?▼

No external dependencies or components are required. The skill relies on its internal multi-agent workflow configuration and writes outputs directly to designated memory paths without needing additional packages.