{
  "markdown": "# spc-tools\n\nStatistical Process Control and quality engineering for Claude Code. Powered by the [Forge](https://github.com/ewolters) engine. Sponsored by [Svend](https://svend.ai).\n\n## Skills\n\n| Skill | Description |\n|-------|-------------|\n| `/spc-tools:control-chart` | I-MR, X-bar/R, p, c, CUSUM, EWMA charts with Nelson rules |\n| `/spc-tools:capability` | Cp, Cpk, Pp, Ppk, sigma level, DPMO, yield |\n| `/spc-tools:gage-rr` | Measurement system analysis (crossed/nested) |\n\nA background `spc-spec` skill loads the complete Forge API reference automatically when you're working on quality/manufacturing analysis.\n\n## Packages\n\n| Package | Purpose | GitHub |\n|---------|---------|--------|\n| forgespc | Control charts, capability, gage R&R, Bayesian SPC | [ewolters/forgespc](https://github.com/ewolters/forgespc) |\n| forgestat | Statistical tests, regression, power analysis, reliability | [ewolters/forgestat](https://github.com/ewolters/forgestat) |\n| forgeviz | Chart rendering (ChartSpec → JSON/SVG) | [ewolters/forgeviz](https://github.com/ewolters/forgeviz) |\n| forgedoe | Design of experiments (factorial, CCD, DSD) | [ewolters/forgedoe](https://github.com/ewolters/forgedoe) |\n| forgepbs | Process belief system (advanced SPC) | [ewolters/forgepbs](https://github.com/ewolters/forgepbs) |\n| forgesia | Causal inference graphs | [ewolters/forgesia](https://github.com/ewolters/forgesia) |\n\nDependencies auto-install on session start.\n\n## About Svend\n\n[Svend](https://svend.ai) is a hypothesis-driven decision science platform for manufacturing and quality professionals. Control charts, capability analysis, DOE, FMEA, root cause analysis, and more — built on the same Forge engine that powers this plugin.\n",
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  "repo_slug": "ewolters/spc-tools",
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}