One-click install
npx skills add https://github.com/shoji9x9/skills --skill kaizen-shoji9x9
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kaizen
Source: https://github.com/shoji9x9/skills/tree/main/.agents/skills/kaizen
Command: npx skills add https://github.com/shoji9x9/skills --skill kaizen-shoji9x9

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires git, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Coding agents often repeat the same mistakes across sessions because there is no systematic way to capture lessons learned from errors, analyze their root causes, and apply fixes to project rules, documentation, and hooks to prevent recurrence. This skill eliminates that gap by turning session failures into permanent, shared improvements for all team agents.

Core Features & Use Cases

  • Root Cause Analysis & Lesson Extraction: Automatically scans coding agent session logs for failures, corrections, and repeated errors, requiring a minimum 3-layer "why" analysis to identify actionable root causes instead of just treating surface symptoms.
  • Cross-Agent Improvement Application: Integrates with the multiagent-setup skill to apply extracted lessons to project rules, documentation, hooks, or custom skills, ensuring Claude Code, Codex, and GitHub Copilot all benefit from past mistakes.
  • Automated Workflow Guardrails: Includes configurable hooks that block git commits if unextracted session activity exists, inject pending lessons into agent context at session start, and mark unextracted sessions with sentinel files to enforce the improvement cycle.
  • Use Case: For a development team using multiple coding agents, if an agent repeatedly makes path resolution errors when editing skill files, this skill captures the root cause (missing path-specific rules), creates a targeted rule in .agents/rules/, and ensures all future agents avoid the same mistake.

Quick Start

Use the kaizen skill to extract lessons from your latest coding session and apply any pending improvements to your project's rules and documentation.

Frequently Asked Questions about kaizen

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

FAQPage Schema
How do I stop coding agents from repeating the same errors across sessions?

You can prevent repeat failures by scanning multi-agent session logs to extract errors and identify their root causes. The extracted lessons are then applied to project rules and hooks to permanently correct agent behavior.

What is root cause analysis for coding agent session logs?

Root cause analysis for coding agent session logs is the process of scanning multi-agent activity for failures and performing a minimum 3-layer "why" analysis. This identifies actionable root causes instead of just treating surface symptoms to prevent future errors.

Does this lesson extraction approach work with Claude Code, Codex, and GitHub Copilot?

Yes, the lesson extraction and application workflow is designed for software development using Claude Code, Codex, and GitHub Copilot. Extracted lessons are applied to shared project rules, ensuring all these agents benefit from past mistakes.

Can I use git hooks to block commits when coding agent errors are unextracted?

Yes, you can configure git hooks to block commits if unextracted session activity exists. The workflow uses sentinel files to mark unextracted sessions and injects pending lessons into agent context at session start to enforce the improvement cycle.

How do I apply extracted coding session lessons to project conventions?

You apply extracted coding session lessons by integrating with a multiagent-setup skill that updates project rules, documentation, and custom skills. This ensures the root cause fixes are shared across all team agents and future sessions.