Automate AI collaboration retrospectives with init, mid-review, and final modes.
npx skills add https://github.com/Gary-Ge-xixi/madness --skill madness
Please help me install this Agent Skill. Skill: madness Source: https://github.com/Gary-Ge-xixi/madness/tree/main Command: npx skills add https://github.com/Gary-Ge-xixi/madness --skill madness
This Skill provides a structured retrospective workflow for AI collaboration, extracting actionable improvements from session records to create a bidirectional feedback loop. It transforms past reviews into verifiable, evolving rule assets, continuously optimizing human-AI collaboration quality.
portable.json for sharing refined methodologies across teams.Use the madness skill to perform a project-level AI collaboration retrospective.
High-intent search queries and answers about installing and using this skill.
Automating AI collaboration retrospectives involves extracting actionable improvements from session records to create a bidirectional feedback loop, transforming past reviews into verifiable, evolving rule assets.
Updating CLAUDE.md rules is achieved through a Reflection mechanism that automatically injects refined instructions, ensuring AI collaboration quality continuously improves from retrospective insights.
Socratic questioning identifies cognitive blind spots by engaging users with targeted questions during retrospectives, systematically uncovering hidden assumptions to refine collaboration rules and methodology.
You can share refined methodologies across teams by generating a portable.json file, which packages the extracted Genes, SOPs, and preferences for cross-team distribution and reuse.
The three modes for project-level retrospectives are init for baseline analysis, mid-review for diagnosis and learning, and final review for extracting cross-project methodology improvements.
You need pypdf, pdfplumber, and pdf2image dependencies to process session records, as these libraries handle the PDF parsing required to extract actionable insights for the retrospective workflow.
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