pony-test-design

Plan and validate tests to prevent stdlib-focused pitfalls.

6|Updated Mar 9, 2026
One-click install
npx skills add https://github.com/ponylang/llm-skills --skill pony-test-design
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pony-test-design
Source: https://github.com/ponylang/llm-skills/tree/main/pony-test-design
Command: npx skills add https://github.com/ponylang/llm-skills --skill pony-test-design

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Two-stage ensemble for planning meaningful tests. Load when writing tests for new features or reviewing test quality. Counters the tendency to write tests that exercise the stdlib instead of your code. Has full (8-persona) and lightweight (5-persona) modes.

Core Features & Use Cases

  • Two-stage planning and evaluation workflow that guides test strategy creation.
  • Supports full mode (8 personas) and lightweight mode (5 personas) to fit project scope.
  • Produces a structured candidate test strategy and evaluation feedback artifacts for iteration.

Quick Start

Run the two-stage ensemble workflow to begin planning tests for a feature or bug fix.

Frequently Asked Questions about pony-test-design

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

FAQPage Schema
How do I plan tests that validate my feature logic instead of just exercising the stdlib?

Test design planning prevents stdlib-focused test pitfalls by using a two-stage ensemble workflow to produce a structured candidate test strategy. This approach guides test creation to ensure your code is validated rather than just standard library functions.

What is the difference between full and lightweight modes for test strategy planning?

Full mode uses an 8-persona ensemble for comprehensive test planning, while lightweight mode uses 5 personas to fit smaller project scopes. Both modes execute the two-stage planning and evaluation workflow to generate candidate test strategies.

How do I evaluate and iterate on a candidate test strategy for bug fixes?

Evaluate and iterate on a candidate test strategy by running the two-stage ensemble workflow. It produces evaluation feedback artifacts that guide iteration and convergence decisions, ensuring your bug fix tests are robust and meaningful.

When should I use an ensemble workflow for software test design?

Use an ensemble workflow for test design when writing tests for new features or reviewing test quality. It is specifically designed to counter the tendency to write tests that exercise the stdlib instead of your actual code.

Does this test planning approach work for both feature development and bug fixes?

Yes, the test planning and validation scope explicitly includes both feature development and bug fixes. The ensemble workflow generates structured candidate test strategies and evaluation artifacts to guide iteration across both scenarios.