Toyota 5 Whys methodology with multi-causal branching, evidence requirements, and validation techniques
npx skills add https://github.com/nWave-ai/nWave --skill nw-five-whys-methodology
Taiichi Ohno: "By repeating why five times, the nature of the problem as well as its solution becomes clear."
Core tenets: scientific evidence-based investigation | address fundamental causes not symptoms | solve to prevent recurrence | use findings for Kaizen
Complex problems have multiple root causes. Investigate comprehensively:
What is immediately observable? Investigate all symptoms. Each branch continues independently. Document verifiable evidence per symptom.
WHY 1A: Path not found [Evidence: file exists but wrong context -- Windows vs WSL paths]
WHY 1B: Permission denied [Evidence: user context mismatch between host and container]
WHY 1C: Timing issues [Evidence: race conditions with file system operations]
Why does this condition exist? Follow each WHY 1 through context. Check if factors connect multiple causes. Examine system/environment/operational context.
Why do conditions persist? How system enables multiple failure modes. How causes interact systemically. Analyze design/architecture decisions.
Why not anticipated? Review design assumptions. Identify all design blind spots. Trace decisions to original context.
Fundamental causes. Multiple root causes expected for complex issues. Ensure all contributing causes identified. Focus on deepest level.
Each WHY level must have verifiable evidence for all causes. Root causes must explain all symptoms collectively. Solutions must address all root causes.
Every root cause -> corresponding solution | Prevent recurrence, not just mitigate | Use findings for system improvement
PROBLEM: [clear problem statement]
WHY 1A: [symptom] [Evidence: ...]
WHY 2A: [context] [Evidence: ...]
WHY 3A: [system factor] [Evidence: ...]
WHY 4A: [design factor] [Evidence: ...]
WHY 5A: [root cause] [Evidence: ...]
-> ROOT CAUSE A: [fundamental cause]
-> SOLUTION A: [prevention strategy]
WHY 1B: [symptom] [Evidence: ...]
WHY 2B: [context] [Evidence: ...]
...
CROSS-VALIDATION:
- Root Cause A + Root Cause B: [consistent/contradictory]
- All symptoms explained: [yes/no, gaps if any]
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take nwave-ai/nw-five-whys-methodology from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.