From b00t
Reduces defects by eliminating variance via the DMAIC cycle. Applies to software: define criteria, measure coverage, analyze failures, improve code, add CI gates.
How this skill is triggered — by the user, by Claude, or both
Slash command
/b00t:six-sigmaThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Six Sigma aims to reduce defects to 3.4 per million by eliminating variance through the DMAIC cycle. The five phases are: (1) Define — what is the problem? what is the target state? who is affected? (2) Measure — collect baseline data. No guessing, no anecdote. (3) Analyze — find root cause using fishbone, 5-whys, or Pareto analysis. Do not fix symptoms. (4) Improve — implement targeted solutio...
Six Sigma aims to reduce defects to 3.4 per million by eliminating variance through the DMAIC cycle. The five phases are: (1) Define — what is the problem? what is the target state? who is affected? (2) Measure — collect baseline data. No guessing, no anecdote. (3) Analyze — find root cause using fishbone, 5-whys, or Pareto analysis. Do not fix symptoms. (4) Improve — implement targeted solution. Pilot first, measure impact. (5) Control — lock in the gain. Add monitoring and set triggers to catch regression.
The key rule: never skip Measure — improving an unmeasured process is theater. In code, DMAIC maps to: define acceptance criteria → measure test coverage → analyze failure modes → improve code → add CI gates.
Apply DMAIC when improving a process, reducing error rates, or addressing quality issues. Use it whenever you need a data-driven approach to process improvement rather than intuition-based changes.
npx claudepluginhub elasticdotventures/_b00t_ --plugin skill-document-understandingSystematically implements process improvements using the PDCA cycle: define problems, identify root causes, run small-scale pilots, and standardize gains before scaling.
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Guides incremental refactoring, continuous code improvements, error-proofing, and standardization using Kaizen principles. Use for code quality enhancements, refactoring, or process discussions.