Statistical Process Control

Statistical Process Control is a Quality skill for Claude Code, published by asgard-ai-platform in skills.

228 stars28 forkson asgard-ai-platform/skillsAdded 2026/09/03Repository updated 2026/06/06

ai-agentanthropicclaudeclaude-agent-skillsclaude-codecoding-agentknowledge-basemcpmethodologyopen-sourceprompt-engineeringskillstaiwan

Install in seconds

Install Statistical Process Control

Copy Statistical Process Control into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/asgard-ai-platform/skills/tree/main/algo-mfg-spc ~/.claude/skills/algo-mfg-spc

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/asgard-ai-platform/skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: algo-mfg-spc/SKILL.md in asgard-ai-platform/skills
Installs to: ~/.claude/skills/algo-mfg-spc
Collection: One of 25 skills cataloged from this repository
Category: Quality — 1478 skills

What Statistical Process Control does

Statistical Process Control implements control charts to monitor process stability over time and flag special-cause variation. Use it to set control limits, detect shifts, and tell whether a process is in control.

Statistical Process Control is cataloged under Quality on DirSkills. Statistical Process Control comes from a repository tagged ai-agent, anthropic, claude, claude-agent-skills and claude-code.

Documentation

README

Excerpt

Statistical Process Control

Overview

SPC uses control charts to monitor process stability over time. Upper and Lower Control Limits (UCL/LCL) are set at ±3σ from the process mean. Points within limits = common cause variation (stable). Points outside or showing patterns = special cause variation (investigate). Primary charts: X-bar/R, X-bar/S, I-MR, p-chart, c-chart.

When to Use

Trigger conditions:

Monitoring production process for stability and detecting shifts
Setting statistically-based control limits for quality metrics
Distinguishing normal variation from assignable causes

When NOT to use:

For process capability assessment (use Cpk)
For root cause analysis of known problems (use fishbone/5-why)

Algorithm

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Statistical Process Control

What else does asgard-ai-platform publish alongside Statistical Process Control?
Statistical Process Control is one of 25 skills that DirSkills catalogs from asgard-ai-platform/skills, the repository it ships in. Its siblings there include ARIMA Time Series Model, Ad Bidding Strategies and Ad Budget Allocation. Each one is a separate skill with its own page in this directory, installs the same way Statistical Process Control does, and is maintained by asgard-ai-platform in that same repository. The rest of the collection is listed on the asgard-ai-platform/skills page.
How does Statistical Process Control compare to other Quality skills?
Statistical Process Control ranks #1369 by stars among the 1478 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Statistical Process Control against them. Open each page to compare what they document and how they install.