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Skill

A3 Problem Analysis

Toyota A3 problem analysis template covering 7 stages: background, current state, goals, root cause analysis, countermeasures…

Type
Skill
GitHub stars
1.7k
License
GPL-3.0
Repo last updated
Aug 26, 2026
Source file
README.md

What A3 Problem Analysis is

A3 Problem Analysis is a skill 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 skill is a folder with a SKILL.md file: frontmatter with a name and a description, followed by instructions Claude follows. Claude loads a skill automatically when a task matches its description, and you can also run it directly with a slash and its name.

Skills work in Claude Code and in Claude Cowork, which makes A3 Problem Analysis a portable way to give Claude the same method everywhere.

How to install A3 Problem Analysis

Claude Code

  1. Download the analyse-problem folder from the repository.
  2. Save it as ~/.claude/skills/<skill-name>/SKILL.md for all projects, or .claude/skills/<skill-name>/SKILL.md for one project.
  3. Claude loads it automatically when a task matches; you can also run it with / and its name.

Claude Cowork

  1. Zip the skill folder so SKILL.md sits at the top level of the folder.
  2. Open Customize → Skills, click +, then upload the ZIP.
  3. Start a task that matches the description, or call it by name with /.

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 README.md, shared under the repository's GPL-3.0 license. Read the full file on GitHub.

Advanced context engineering techniques and patterns for Claude Code, OpenCode, Cursor, Antigravity and more.

Quick Start · Plugins · Github Action · Reference · Docs

Context Engineering Kit

A hand-crafted collection of advanced context engineering techniques and patterns with minimal token footprint, focused on improving agent result quality and predictability.

The marketplace is based on prompts our company's developers have used daily for a long time, supplemented by plugins from benchmarked papers and high-quality projects.

Key Features

  • Simple to Use - Easy to install and use without any dependencies. Contains automatically used skills and self-explanatory commands.
  • Token-Efficient - Carefully crafted prompts and architecture, preferring command-oriented skills with sub-agents over general information skills when possible, to minimize populating context with unnecessary information.
  • Quality-Focused - Each plugin is focused on meaningfully improving agent results in a specific area.
  • Granular - Install only the plugins you need. Each plugin loads only its specific agents, commands, and skills, without overlap or redundant skills.
  • Scientifically proven - Plugins are based on proven techniques and patterns validated by reputable benchmarks and studies.
  • Open-Standards - Skills are based on agentskills.io specification. The SDD plugin is based on the Arc42 specification standard for software development documentation.

News

Updates from key releases:

  • v3.1.0: Improved Spec-Driven Development plugin generated code quality by embedding DDD/SOLID rules in the developer agent and adding a dedicated code-reviewer agent that applies functional and OOP best-practices rules together with Muda waste analysis to reduce code complexity and duplication.
  • v3.0.0: Added support for AMP and Hermes agents. Tech Stack plugin now automatically injects typescript best practices when agent reads or writes TypeScript files.
  • v2.2.0: Subagent-Driven Development plugin now works as a distilled version of SDD plugin using meta-judge and judge sub-agents for specification generation on the fly and in parallel to implementation. DDD plugin now includes Clean Architecture, DDD, SOLID, Functional Programming, and other pattern examples as rules that are automatically added to the context during code writing.
  • v2.1.0: Spec-Driven Development plugin agents include high-level code quality guidelines from DDD plugin.
  • v2.0.0: Spec-Driven Development plugin was rewritten from scratch. It is now able to produce working code in 99% of cases on real-life production projects!

Quick Start

Step 1: Install Marketplace and Plugins

Claude Code

Open Claude Code and add the Context Engineering Kit marketplace:

/plugin marketplace add NeoLabHQ/context-engineering-kit

This makes all plugins available for installation, but does not load any agents or skills into your context.

Install any plugin — for example, reflexion:

/plugin install reflexion@NeoLabHQ/context-engineering-kit

Each installed plugin loads only its specific agents, commands, and skills into Claude's context.

Gemini CLI

Install the extension directly from the repository:

gemini extensions install https://github.com/NeoLabHQ/context-engineering-kit

Note: This installs every plugin's skills and agents as a single bundle — there's no per-plugin selection like Claude Code's. Unfortunately, Gemini CLI does not support per-plugin selection. But you can delete skills and agents that you don't need, after installation.

Antigravity CLI

Install the plugin directly from the repository's antigravity/ folder — Gemini CLI is not required:

agy plugin install https://github.com/NeoLabHQ/context-engineering-kit/antigravity

Note: This installs every plugin's skills and agents as a single bundle — there's no per-plugin selection like Claude Code's. Unfortunately, Antigravity CLI does not support per-plugin selection. But you can delete skills and agents that you don't need, after installation.

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 A3 Problem Analysis?

A3 Problem Analysis is a skill for Claude Code and Claude Cowork from the NeoLabHQ/context-engineering-kit repository on GitHub. Toyota A3 problem analysis template covering 7 stages: background, current state, goals, root cause analysis, countermeasures…

How do I install A3 Problem Analysis in Claude Code?

Download the analyse-problem folder from the repository. Save it as ~/.claude/skills/<skill-name>/SKILL.md for all projects, or .claude/skills/<skill-name>/SKILL.md for one project. Claude loads it automatically when a task matches; you can also run it with / and its name.

Can I use A3 Problem Analysis in Claude Cowork?

Zip the skill folder so SKILL.md sits at the top level of the folder. Open Customize → Skills, click +, then upload the ZIP. Start a task that matches the description, or call it by name with /.

Is A3 Problem Analysis 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.