pict-test-designer

Generates combinatorial PICT models and markdown tables of pairwise test cases with expected results.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/olli107x/claude-code-starter-kit --skill pict-test-designer-olli107x
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pict-test-designer
Source: https://github.com/olli107x/claude-code-starter-kit/tree/main/skills/testing/pypict
Command: npx skills add https://github.com/olli107x/claude-code-starter-kit --skill pict-test-designer-olli107x

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of thorough test cases by leveraging Pairwise Independent Combinatorial Testing (PICT), ensuring comprehensive coverage with minimal effort.

Core Features & Use Cases

  • Automated Test Case Generation: Designs test cases for complex systems with multiple input parameters using pairwise testing.
  • PICT Model Creation: Analyzes requirements or code to generate PICT models, including parameters, values, and constraints.
  • Use Case: When testing a web form with numerous fields (e.g., user profile details, payment options), this Skill generates an efficient set of test cases that cover all critical two-way interactions between fields, significantly reducing manual testing time.

Quick Start

Use the pict-test-designer skill to generate a PICT model for testing a login form with username, password, and remember me options.

Frequently Asked Questions about pict-test-designer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is pairwise testing and how does it reduce the number of test cases?▼

Pairwise testing is a combinatorial technique that verifies all critical two-way interactions between multiple input parameters. It generates an efficient set of test cases ensuring comprehensive coverage with minimal effort, significantly reducing manual testing time for complex systems.

How do I generate test cases for a web form with multiple input fields?▼

To generate test cases, analyze your web form requirements or code to create a PICT model. This model defines parameters, values, and constraints, which is then used to output a markdown table of test cases and expected results covering all valid form scenarios.

Can I use combinatorial testing for complex systems with multiple input constraints?▼

Yes, you can use combinatorial testing for complex systems with multiple input constraints. The PICT approach analyzes your inputs and generates models that include specific parameter constraints to ensure only valid testing scenarios are produced in the final test cases.

What is the best way to automate test case generation from existing code?▼

The best way to automate test case generation from code is using Pairwise Independent Combinatorial Testing. It analyzes your code to automatically generate a PICT model with parameters and constraints, outputting comprehensive test cases and expected results.

What do I need to provide to generate a PICT model for my software testing?▼

To generate a PICT model for software testing, you need to provide a piece of requirements or code. The system analyzes these inputs to define parameters, values, and constraints for valid scenarios, outputting the model and a markdown table of test cases.