process-improvement
v0.3.0Lean Six Sigma process-improvement team — specialist agents (lean-six-sigma-blackbelt, process-analyst) that analyze a team's operational processes and improve them with Black-Belt rigor: DMAIC, Lean waste removal (the 8 wastes / DOWNTIME), data-proven root-cause analysis, statistical process control, and control plans that make the gain stick. Domain-neutral (support, onboarding, billing, deployment, hiring — any process). skills, templates, best-practices, a stdlib calculator (Cp/Cpk/Ppk, sigma-level/DPMO, I-MR limits, COPQ), a control-then-capability triage command, an advisory anti-pattern hook, a scenarios bank, and a knowledge bank with web-verified Mermaid decision trees (sigma/DPMO, Cp/Cpk, control-chart selection, common-vs-special-cause response, capability-fix, WE/Nelson rules). The inferential statistics seam (hypothesis tests, DOE, regression, Gage R&R) routes to applied-statistics; DMAIC project delivery routes to project-management. Requires ravenclaude-core@>=0.7.0.
By Matt CorbettLicense: MIT7 GitHub starsUpdated last week
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- Runtimes
- Claude Code
- Parsed components
- 6 skill or MCP entries
- Source updated
- Sep 15, 2026
- Manifest status
- Canonical path parsed
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Install process-improvement for Claude Code
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install process-improvement@agent-plugin-marketplacePaste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/mcorbett51090/RavenClaudeClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/process-improvement/.
Plugin files
├── .claude-plugin/plugin.json├── skills/control-plan-and-sustain/SKILL.md├── skills/dmaic-project-charter/SKILL.md├── skills/lean-waste-analysis/SKILL.md├── skills/process-capability-and-spc/SKILL.md├── skills/process-mapping/SKILL.md└── skills/root-cause-analysis/SKILL.md
Included Skills6
Lock the gain after an improvement: build the control plan, design SPC monitoring, write standard work, add poka-yoke (mistake-proofing), define the reaction plan, and hand off to the process owner. A fix without a control plan didn't happen.
Scope an improvement opportunity as a DMAIC project: problem statement, quantified goal, CTQ/VOC, SIPOC boundaries, baseline metric, team, and timeline. Produces a populated charter using the dmaic-project-charter template.
Find and remove waste using the 8 wastes (DOWNTIME), value-add analysis, takt/cycle time comparison, bottleneck/constraint identification, and quick-win prioritization. Feeds the DMAIC Improve phase with a ranked elimination roadmap.
Baseline a process: compute DPMO/sigma level and Cp/Cpk, select and read the right control chart (I-MR / Xbar-R / p / c / u), and apply Western Electric/Nelson rules to separate common-cause from special-cause variation. Routes deeper capability inference and hypothesis testing to applied-statistics.
Build the current-state process map: SIPOC, swimlane/flowchart, and value-stream map. Mark value-add vs. non-value-add steps and handoffs. Identify where to instrument and measure. Used in the DMAIC Measure phase before root-cause analysis begins.
Drive to proven root cause using 5 Whys, fishbone/Ishikawa (6M categories), and Pareto (80/20 prioritization), then validate the suspected cause with data. Routes hypothesis testing to applied-statistics. Anti-pattern: solution-jumping before cause is proven.
Plugin manifests1
{
"name": "process-improvement",
"version": "0.3.0",
"description": "Lean Six Sigma process-improvement team — specialist agents (lean-six-sigma-blackbelt, process-analyst) that analyze a team's operational processes and improve them with Black-Belt rigor: DMAIC, Lean waste removal (the 8 wastes / DOWNTIME), data-proven root-cause analysis, statistical process control, and control plans that make the gain stick. Domain-neutral (support, onboarding, billing, deployment, hiring — any process). skills, templates, best-practices, a stdlib calculator (Cp/Cpk/Ppk, sigma-level/DPMO, I-MR limits, COPQ), a control-then-capability triage command, an advisory anti-pattern hook, a scenarios bank, and a knowledge bank with web-verified Mermaid decision trees (sigma/DPMO, Cp/Cpk, control-chart selection, common-vs-special-cause response, capability-fix, WE/Nelson rules). The inferential statistics seam (hypothesis tests, DOE, regression, Gage R&R) routes to applied-statistics; DMAIC project delivery routes to project-management. Requires ravenclaude-core@>=0.7.0.",
"author": {
"name": "Matt Corbett"
},
"homepage": "https://github.com/mcorbett51090/RavenClaude",
"license": "MIT",
"keywords": [
"process-improvement",
"lean",
"six-sigma",
"lean-six-sigma",
"dmaic",
"black-belt",
"spc",
"control-chart",
"process-capability",
"cpk",
"root-cause-analysis",
"kaizen",
"value-stream-mapping",
"fmea",
"continuous-improvement"
],
"requires": {
"plugins": [
"ravenclaude-core@>=0.7.0"
]
}
}For maintainers
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[process-improvement on Agent Plugins Marketplace](https://pluginsmp.com/plugins/process-improvement)