Generate structured session retrospectives and lessons learned from coding sessions.
npx skills add https://github.com/Soul-Brews-Studio/oracle-skills-cli --skill rrr
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
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.
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.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
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