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Plugin

Kaizen

Inspired by Japanese continuous improvement philosophy, Agile and Lean development practices. Introduces commands for analysis of root cause of issues and problems, including 5 Whys, Cause and Effect Analysis, and other techniques.

Type
Plugin
GitHub stars
1.7k
License
GPL-3.0
Repo last updated
Aug 26, 2026
Version
3.0.0
Author
Vlad Goncharov

What Kaizen is

Kaizen is a plugin published in the NeoLabHQ/context-engineering-kit repository on GitHub, which has about 1.7k stars. The repository describes itself as: “Hand-crafted Claude Code Skills focused on improving agent results quality. Compatible with OpenCode, Cursor, Antigravity, Gemini CLI, and others. Includes CodeRabbit open-source alternative.”

A plugin is a package that bundles skills, slash commands, subagents, hooks, and MCP connectors so they install together. Plugins are plain files with a manifest at .claude-plugin/plugin.json, and they work in both Claude Code and Claude Cowork.

Installing Kaizen adds everything it ships in one step. Connectors inside a plugin still need to be connected separately, and hooks and subagents only run in Cowork and Claude Code, not in regular chat.

How to install Kaizen

Claude Code

  1. Add the repository as a plugin marketplace: claude plugin marketplace add NeoLabHQ/context-engineering-kit
  2. Install the plugin: claude plugin install kaizen@<marketplace-name>, using the marketplace name from the repository's .claude-plugin/marketplace.json.
  3. Restart the session if the new skills or commands don't appear straight away.

Claude Cowork

  1. Open Customize → Plugins and choose Add marketplace.
  2. Enter NeoLabHQ/context-engineering-kit (the owner/repo shorthand works for GitHub).
  3. Find Kaizen in the list, click Install, then connect any connectors it needs from its Connectors tab.

New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.

Inside the source file

An excerpt from plugins/kaizen/.claude-plugin/plugin.json, shared under the repository's GPL-3.0 license. Read the full file on GitHub.

Continuous improvement framework inspired by the Toyota Production System that brings Lean manufacturing principles to software development through systematic problem analysis, root cause investigation, and iterative improvement cycles.

Plugin Target

  • Find root causes - Stop fixing symptoms; address fundamental issues
  • Prevent recurrence - Understand why problems exist to prevent similar issues
  • Continuous improvement - Small, incremental changes that compound into major gains
  • Reduce waste - Identify and eliminate non-value-adding activities in code and processes

Overview

The Kaizen plugin implements proven manufacturing problem-solving techniques adapted for software development. Named after the Japanese word for "continuous improvement," Kaizen philosophy emphasizes that small, ongoing positive changes can lead to major improvements over time.

The plugin is based on methodologies from the Toyota Production System (TPS) and Lean manufacturing, which have been validated across industries for over 70 years.

They are based on the idea that most bugs and quality issues are symptoms of deeper systemic problems. Fixing only the symptom leads to recurring issues; finding and addressing the root cause prevents entire classes of problems.

Quick Start

# Install the plugin
/plugin install kaizen@NeoLabHQ/context-engineering-kit

# Investigate a bug's root cause
> /why "API returns 500 error on checkout"

# Analyze code for improvement opportunities
> /analyse src/checkout/

# Document a complex problem comprehensively
> /analyse-problem "Database connection exhaustion during peak traffic"

Usage Examples

Commands

  • /why - Five Whys Root Cause Analysis. Iterative questioning technique that drills from surface symptoms to fundamental root causes by repeatedly asking "why."
  • /root-cause-tracing - Bug Tracing Through Call Stack. Systematically traces bugs backward through the call stack to identify where invalid data or incorrect behavior originates.
  • /cause-and-effect - Fishbone Analysis. Systematic exploration of problem causes across six categories using the Ishikawa (Fishbone) diagram approach.
  • /analyse-problem - A3 Problem Analysis. Comprehensive one-page problem documentation using the A3 format, covering Background, Current Condition, Goal, Root Cause, Countermeasures, Implementation Plan, and Follow-up.
  • /analyse - Smart Analysis Method Selection. Intelligently selects and applies the most appropriate Kaizen analysis technique based on what you're analyzing: Gemba Walk, Value Stream Mapping, or Muda (Waste) Analysis.
  • /plan-do-check-act - PDCA Improvement Cycle. Four-phase iterative cycle for continuous improvement through systematic experimentation: Plan, Do, Check, Act.

Skills

  • kaizen - Continuous Improvement Skill. Automatically applied skill guiding continuous improvement mindset, error-proofing, standardized work, and just-in-time principles.

The Four Pillars of Kaizen

The Kaizen plugin also includes a skill that applies continuous improvement principles automatically during development:

  1. Continuous Improvement - Small, frequent improvements compound into major gains. Always leave code better than you found it.
  2. Poka-Yoke (Error Proofing) - Design systems that prevent errors at compile/design time, not runtime. Make invalid states unrepresentable.
  3. Standardized Work - Follow established patterns. Document what works. Make good practices easy to follow.
  4. Just-In-Time (JIT) - Build what's needed now. No "just in case" features. Avoid premature optimization.

Theoretical Foundation

The Kaizen plugin is based on methodologies with over 70 years of real-world validation in manufacturing, now adapted for software development:

Toyota Production System (TPS)

The foundation of Lean manufacturing, developed at Toyota starting in the 1940s:

  • The Toyota Way - 14 principles of continuous improvement and respect for people
  • Toyota Kata - Scientific thinking routines for improvement (PDCA)

Before you install

  • Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
  • Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
  • Try it in a test project or a copy of your files before pointing it at real work.
  • Pin the version you tested, and review changes before updating.
  • Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.

FAQ

What is Kaizen?

Kaizen is a plugin for Claude Code and Claude Cowork from the NeoLabHQ/context-engineering-kit repository on GitHub. Inspired by Japanese continuous improvement philosophy, Agile and Lean development practices. Introduces commands for analysis of root cause of issues and problems, including 5 Whys, Cause and Effect Analysis, and other techniques.

How do I install Kaizen in Claude Code?

Add the repository as a plugin marketplace: claude plugin marketplace add NeoLabHQ/context-engineering-kit Install the plugin: claude plugin install kaizen@<marketplace-name>, using the marketplace name from the repository's .claude-plugin/marketplace.json. Restart the session if the new skills or commands don't appear straight away.

Can I use Kaizen in Claude Cowork?

Open Customize → Plugins and choose Add marketplace. Enter NeoLabHQ/context-engineering-kit (the owner/repo shorthand works for GitHub). Find Kaizen in the list, click Install, then connect any connectors it needs from its Connectors tab.

Is Kaizen safe to install?

It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.

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Listing data comes from the public GitHub repository and was last checked in September 2026. Excerpts are © their authors and shared under GPL-3.0. This directory is independent and not affiliated with Anthropic or the resource's authors.