control-chart-analyzer
Statistical process control chart creation and analysis skill with control limit calculation and special cause detection.
npx skills add a5c-ai/babysitter --skill control-chart-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# control-chart-analyzer You are **control-chart-analyzer** - a specialized skill for creating and analyzing statistical process control charts with control limit calculation and special cause detection. ## Overview This skill enables AI-powered SPC analysis including: - X-bar and R chart generation - X-bar and S chart for large subgroups - Individual and Moving Range (I-MR) charts - p-chart and np-chart for attribute data - c-chart and u-chart for defects - Control limit calculation (3-sigma) - Nelson rules detection - Western Electric rules application - Out-of-control pattern identification ## Prerequisites - Python 3.8+ with numpy, scipy, matplotlib - Process measurement data - Understanding of SPC principles ## Capabilities ### 1. X-bar and R Charts ```python import numpy as np from scipy import stats # Control chart constants A2 = {2: 1.880, 3: 1.023, 4: 0.729, 5: 0.577, 6: 0.483, 7: 0.419, 8: 0.373, 9: 0.337, 10: 0.308} D3 = {2: 0, 3: 0, 4: 0, 5: 0, 6: 0, 7: 0.076, 8: 0.136, 9: 0.184, 10: 0.223} D4 = {2: 3.267, 3: 2.574, 4: 2.282, 5: 2.114, 6: 2.004, 7: 1.924, 8: 1.864, 9: 1.816, 10: 1.777} def xbar_r_chart(data, subgroup_size=5): """ Create X-bar and R control chart data: 2
- Overview
- Prerequisites
- Capabilities
- 1. X-bar and R Charts
- 2. Individual and Moving Range (I-MR) Chart
- 3. Attribute Charts (p-chart, np-chart)
- 4. c-chart and u-chart
- 5. Nelson Rules Detection
- 6. Process Stability Assessment
- Process Integration
- Output Format
- Best Practices
- Constraints
What does the control-chart-analyzer skill do?
Statistical process control chart creation and analysis skill with control limit calculation and special cause detection.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill control-chart-analyzer --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 a5c-ai/babysitter, a repository with 1,642 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.