Agent skill

Spc

Implement SPC charting, process capability analysis, and control chart interpretation. Covers control chart selection, capability indices, and out-of-control rules. USE WHEN user says 'SPC', 'Cpk', 'Ppk', 'control chart', 'process capability', 'X-bar R', 'statistical control', or 'out of control'. Integrates with ControlPlan, MSA, and AutomotiveManufacturing skills.

majiayu000534★ · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill spc-robdtaylor-personal-ai-infrastr --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 9 KB
Bundled scripts: none
Path: skills/analysis/spc-robdtaylor-personal-ai-infrastr/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Statistical Process Control (SPC) ## When to Activate This Skill - "Set up SPC for [characteristic]" - "Calculate Cpk for [process]" - "What control chart should I use?" - "Is this process in control?" - "Interpret out-of-control pattern" - "Conduct capability study" - "What's the difference between Cp and Cpk?" ## Purpose of SPC SPC uses statistical methods to monitor, control, and improve processes by distinguishing between: - **Common cause variation** - Normal, inherent process variation - **Special cause variation** - Abnormal, assignable causes requiring action ### Why SPC Matters **Without SPC:** - React only when defects occur - Cannot predict process behavior - May over-adjust stable processes - Miss early warning signs **With SPC:** - Detect problems before defects - Understand process capability - Make data-driven decisions - Continuously improve --- ## Control Chart Selection ### Variable Data Charts (Measurements) | Chart | Data Type | When to Use | |-------|-----------|-------------| | **X-bar/R** | Subgroups n=2-9 | Standard variable control chart | | **X-bar/S** | Subgroups n≥10 | Large subgroups | | **I-MR** | Individual measurements | Low volume, long cycle, des

What's inside
Steps it walks through
  1. When to Activate This Skill
  2. Purpose of SPC
  3. Why SPC Matters
  4. Control Chart Selection
  5. Variable Data Charts (Measurements)
  6. Attribute Data Charts (Counts/Categories)
  7. X-bar/R Chart
  8. Setup
  9. Control Limit Formulas
  10. Constants (A₂, D₃, D₄)
  11. Individual/Moving Range (I-MR) Chart
  12. When to Use
  13. Out-of-Control Rules
  14. Western Electric Rules (Standard)
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the Spc skill do?

Implement SPC charting, process capability analysis, and control chart interpretation. Covers control chart selection, capability indices, and out-of-control rules. USE WHEN user says 'SPC', 'Cpk', 'Ppk', 'control chart', 'process capability', 'X-bar R', 'statistical control', or 'out of control'. Integrates with ControlPlan, MSA, and AutomotiveManufacturing skills.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill spc-robdtaylor-personal-ai-infrastr --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going