spc plugins

by RBraga01

22 structured quality engineering skills for automotive and manufacturing — ISO 9001, IATF 16949, AIAG-VDA FMEA, VDA 6.3, PPAP, APQP, SPC, MSA. Works with Claude Code, Codex CLI, Cursor, Gemini CLI, and any agentskills.io-compatible tool.

by Matt Corbett

Forms engineering — the seam between how a form is built, how the request stream behind it is run, and where its trust boundary sits. Owns what no other plugin does: intake taxonomy and triage routing that make a request stream deterministic; the form measurement contract (which events, which denominator, what counts as a defect) and its hand-off to statistical process control; the server half of a submission that web-design routes out by rule (client/server validation parity, honeypot design and its assistive-tech exemption, double-submit and submission idempotency, webhook signature verification, PII minimisation); and form-platform selection on durable axes rather than a feature matrix. Client-side form construction and form accessibility stay with web-design. Upload hardening and challenge-widget mechanics stay with ravenclaude-core, which this plugin cites rather than restates, and every binding security verdict routes to ravenclaude-core/security-reviewer. Requires ravenclaude-core@>=0.7.0.

by Matt Corbett

Manufacturing-operations team for discrete and process manufacturing — agents (production-planner, shop-floor-and-oee-analyst, quality-and-capa-lead) for the plan / make / control loop on the factory floor: MRP/MPS and demand-vs-capacity planning, S&OP, BOM management, lot sizing and finite scheduling (production-planner); OEE (availability x performance x quality), throughput, takt vs cycle time, Theory-of-Constraints bottleneck analysis, and MES/shop-floor downtime data (shop-floor-and-oee-analyst); SPC, nonconformance (NCR) and CAPA, inspection plans, FMEA, supplier quality, and control plans (quality-and-capa-lead). decision-tree bank, best-practices, skills, commands, templates, an advisory hook, a stdlib OEE/takt/capacity calculator, scenarios. Seams: Lean/Six Sigma -> process-improvement; inferential stats / Gage R&R -> applied-statistics; sourcing -> procurement-sourcing; distribution -> fleet-logistics. Requires ravenclaude-core@>=0.7.0.

by Matt Corbett

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.