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performance-test-designer skill

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This skill designs comprehensive performance test plans, including conditions, data collection, instrumentation, and acceptance criteria for reliable

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---
name: performance-test-designer
description: Performance test design skill for test planning, data collection, and acceptance criteria verification
allowed-tools:
  - Read
  - Write
  - Glob
  - Grep
  - Edit
  - Bash
metadata:
  specialization: chemical-engineering
  domain: science
  category: Commissioning
  skill-id: CE-SK-028
---

# Performance Test Designer Skill

## Purpose

The Performance Test Designer Skill develops comprehensive performance test plans including test conditions, data collection requirements, and acceptance criteria for process verification.

## Capabilities

- Test plan development
- Test condition specification
- Data collection requirements
- Instrumentation requirements
- Acceptance criteria definition
- Test duration calculation
- Statistical analysis planning
- Guarantee verification
- Report template generation

## Usage Guidelines

### When to Use
- Designing performance tests
- Verifying process guarantees
- Commissioning new equipment
- Validating modifications

### Prerequisites
- Design specifications available
- Guarantee requirements defined
- Instruments calibrated
- Steady-state achievable

### Best Practices
- Define clear acceptance criteria
- Plan adequate test duration
- Ensure instrument accuracy
- Document all conditions

## Process Integration

This skill integrates with:
- Performance Testing and Validation
- Process Startup Procedure Development
- Scale-Up Analysis

## Configuration

```yaml
performance-test-designer:
  test-types:
    - capacity
    - efficiency
    - product-quality
    - emissions
  statistical-methods:
    - uncertainty-analysis
    - ASME-PTC
```

## Output Artifacts

- Test plans
- Data collection sheets
- Analysis procedures
- Report templates
- Acceptance certificates

Overview

This skill designs end-to-end performance test plans for systems and processes, covering test conditions, required instrumentation, data collection, and acceptance criteria. It produces concrete artifacts—test plans, data sheets, analysis procedures, and report templates—that can be handed to test engineers or integrated into commissioning workflows. The output is focused on measurable verification of guarantees and reproducible statistical analysis.

How this skill works

Give the skill the design specifications and guarantee requirements; it translates those inputs into detailed test conditions, required sensors and calibration notes, and a sampling plan. It calculates recommended test durations, selects appropriate statistical methods (uncertainty analysis, ASME-PTC), and generates acceptance criteria and report templates. The skill also outlines required instrumentation, data collection formats, and steps to verify guarantees during and after testing.

When to use it

Preparing a formal performance test plan for commissioning or validation
Verifying contractual guarantees or vendor performance claims
Designing tests after equipment modification or process changes
Planning scale-up or throughput validation studies
Creating reproducible data-collection procedures for regulatory or internal audits

Best practices

Start with clear design specs and explicit guarantee definitions
Plan for steady-state windows and include transient exclusion rules
Specify instrument type, range, calibration status, and sampling rate
Estimate test duration from variability and target confidence intervals
Document all test conditions and environmental factors in the plan

Example use cases

Create a capacity test plan to prove throughput guarantees for a new production line
Design an emissions measurement campaign with uncertainty analysis and sampling schedules
Develop acceptance criteria and data sheets for vendor equipment commissioning
Generate an efficiency test procedure to validate process improvements after a retrofit
Produce a report template and certificate for contractually required performance verification

FAQ

What inputs does the skill require?

Provide design specifications, guarantee limits, expected operating ranges, and available instrumentation details.

How does it determine test duration?

It uses measured or estimated variability and the desired confidence interval to compute required sampling time and sample size.

Which statistical methods are supported?

Common approaches like uncertainty analysis and ASME-PTC style methods are supported; methods are selectable based on context.