Process Capability Calculator

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Process capability analysis skill with Cp, Cpk, Pp, Ppk calculations and specification compliance assessment

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Process Capability Calculator skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/business/operations/skills/process-capability-calculator/SKILL.md and read by ahel’s review.

Overview

The Process Capability Calculator skill provides comprehensive capabilities for analyzing process capability against specification limits. It supports multiple capability indices, normality testing, and defect rate estimation for both short-term and long-term performance assessment.

Capabilities

  • Capability index calculation (Cp, Cpk, Pp, Ppk)
  • Specification limit analysis
  • Process performance metrics
  • Normality testing
  • Non-normal data transformation
  • Capability histogram generation
  • PPM defect rate estimation

Used By Processes

  • SIX-003: Process Capability Analysis
  • SIX-002: Statistical Process Control Implementation
  • QMS-004: Cost of Quality Analysis

Tools and Libraries

  • Statistical software APIs
  • Quality analysis libraries
  • Data transformation tools
  • Visualization libraries

Usage

skill: process-capability-calculator
inputs:
  data: [10.2, 10.1, 10.3, 10.0, 10.2, 10.4, 10.3, 10.2, 10.5, 10.3]
  specification_limits:
    usl: 10.8
    lsl: 9.2
    target: 10.0
  analysis_type: "short_term"  # short_term | long_term
  normality_test: true
outputs:
  - capability_indices
  - ppm_estimates
  - sigma_level
  - histogram_with_specs
  - normality_assessment
  - recommendations

Capability Index Formulas

Short-Term (Potential) Capability

Cp = (USL - LSL) / (6 * sigma_within)

Cpk = min[(USL - mean) / (3 * sigma_within), (mean - LSL) / (3 * sigma_within)]

Long-Term (Actual) Performance

Pp = (USL - LSL) / (6 * sigma_overall)

Ppk = min[(USL - mean) / (3 * sigma_overall), (mean - LSL) / (3 * sigma_overall)]

Capability Interpretation

Cp/Cpk ValueInterpretationSigma Level
< 0.67Very poor< 2 sigma
0.67 - 1.00Poor2 - 3 sigma
1.00 - 1.33Marginal3 - 4 sigma
1.33 - 1.67Good4 - 5 sigma
1.67 - 2.00Very good5 - 6 sigma
> 2.00Excellent> 6 sigma

PPM Defect Rate Estimation

CpkPPM (one-sided)% Yield
1.001,35099.865%
1.333299.997%
1.670.399.99997%
2.000.00199.9999999%

Integration Points

  • Quality Management Systems
  • Statistical analysis software
  • SPC platforms
  • Customer reporting systems

Signals

GitHub stars
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Forks
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Last commit
Sep 2026
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Item type
skill
Key
process-capability-calculator
Source
github.com/a5c-ai/babysitter