five-whys

Standardized Claude Code bootstrap — drop-in .claude/ tree with a 19-agent adversarial review team, Ralph Loop, dev-flow skills, and an init script. Agnostic, project-ready.

AI Agent Root Cause Analysis Protocol — A systematic five-question methodology adapted from Toyota's 5 Whys for diagnosing failures in AI agent systems. Battle-tested over 60+ production incidents.

Multi-agent system preventing solution-jumping in LLM-assisted architecture decisions through Five Whys requirements elicitation and deterministic evaluation. 100% accuracy, $0.01/session. Accompanies IEEE Software 2025 paper.

Correction-of-Errors retrospective plugin for self-improving Claude after medium-to-big sessions

Hose — challenge ta problématique avec la méthode des 5 pourquoi

Six Sigma Green Belt project using the DMAIC methodology to reduce unnecessary technician dispatches, improve remote resolution effectiveness and increase first-call resolution through data-driven process improvement.

Six Sigma Yellow Belt project applying the DMAIC methodology to optimize customer interaction handling time by eliminating process inefficiencies, standardizing workflows and improving operational efficiency.

Taiichi Ohno's Five Whys run in both directions: backward from a failure to a systemic root cause, and forward from a claim to the intermediate steps required to reach it.

Business Analysis case study focused on recruitment process analysis and improvement for Zen Yoga Studio.

WSQ - Generative AI for Problem Solving (TGS-2023036653) — 2-day SkillsFuture-funded courseware: 160-slide deck, Lesson Plan, Learner Guide and 10 real-life case-study activities with GenAI prompts and problem-solving ed-tools.

Cross-agent Socratic coaching skill: clarify vague goals with 5 Whys + Golden Circle before solutions. For any AI agent that supports custom skills or workflows. 跨智能体苏格拉底式教练技能：通过五个为什么和黄金圈法则厘清模糊目标，在提出解决方案前先把问题问清。适用于支持自定义技能或工作流的 AI 智能体。