This is a meta-skill that picks between three Kaizen analysis techniques depending on what you're examining. Point it at code and it runs a Gemba Walk to see how things actually work versus what you assumed. Point it at a workflow and it builds a Value Stream Map showing where time gets wasted in handoffs and waiting. Point it at inefficiencies and it does Muda waste analysis. The auto-selection works well enough that you don't need to know which method to use upfront. Each technique is thorough, with examples showing authentication flows, CI/CD pipelines, and feature delivery timelines. Best for teams that already know continuous improvement concepts, or anyone willing to learn them through solid examples.
- skills.sh installs
- 1.3K
- GitHub stars
- 1.8K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add neolabhq/context-engineering-kit --skill analyse --agent claude-codeInstalls into .claude/skills of the current project.
Files
Smart Analysis
Intelligently select and apply the most appropriate Kaizen analysis technique based on what you're analyzing.
Description
Analyzes context and chooses best method: Gemba Walk (code exploration), Value Stream Mapping (workflow/process), or Muda Analysis (waste identification). Guides you through the selected technique.
Usage
/analyse [target_description]
Examples:
/analyse authentication implementation/analyse deployment workflow/analyse codebase for inefficiencies
Variables
- TARGET: What to analyze (default: prompt for input)
- METHOD: Override auto-selection (gemba, vsm, muda)
Method Selection Logic
Gemba Walk → When analyzing:
- Code implementation (how feature actually works)
- Gap between documentation and reality
- Understanding unfamiliar codebase areas
- Actual vs. assumed architecture
Value Stream Mapping → When analyzing:
- Workflows and processes (CI/CD, deployment, development)
- Bottlenecks in multi-stage pipelines
- Handoffs between teams/systems
- Time spent in each process stage
Sponsors
Details
- Repository
- github.com/neolabhq/context-engineering-kit
- First seen
- Jun 3, 2026
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