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

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.

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.