testing-skills-with-subagents

Test skills with subagents under RED-GREEN-REFACTOR cycles to verify TDD discipline.

2|Updated Oct 25, 2025
One-click install
npx skills add https://github.com/robertpelloni/workspace --skill testing-skills-with-subagents-robertpelloni
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: testing-skills-with-subagents
Source: https://github.com/robertpelloni/workspace/tree/main/AI_COORDINATION/skills/superpowers-skills-main/skills/meta/testing-skills-with-subagents
Command: npx skills add https://github.com/robertpelloni/workspace --skill testing-skills-with-subagents-robertpelloni

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill addresses the critical need for robust validation of AI capabilities by employing specialized sub-agents to test other skills. It ensures that skills perform as expected, are reliable, and produce high-quality outputs.

Core Features & Use Cases

  • Automated Test Generation: Create test cases and scenarios for a given skill.
  • Performance Evaluation: Measure a skill's accuracy, speed, and resource usage.
  • Use Case: Before deploying a new "code generation" skill, use this skill to have sub-agents generate various coding prompts, execute the skill, and verify the correctness and efficiency of the generated code.

Quick Start

Test the 'data-extraction' skill using sub-agents to verify its accuracy on diverse document types.

Frequently Asked Questions about testing-skills-with-subagents

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

FAQPage Schema
How do I validate AI skills before deployment to ensure they work reliably?

Deploy sub-agents to test skills across baseline and skill-enabled runs with pressure scenarios. This approach verifies skills resist rationalization, captures failures systematically, and enforces test-driven refinement before production use.

What does it mean to test a skill under pressure scenarios?

Pressure scenarios are challenging conditions designed to expose weaknesses in skill performance. Testing applies 3+ distinct pressures, documents how skills rationalize failures, and iteratively refines the skill until it performs reliably under all conditions.

Can I automate test case generation for my custom skills?

Yes. Sub-agents generate diverse test cases and scenarios tailored to your skill's domain, execute the skill against those cases, and measure accuracy, speed, and resource usage to verify correctness and efficiency.

Why use sub-agents instead of manual testing for skill validation?

Sub-agents provide scalable, systematic test coverage across multiple scenarios and pressure conditions. They enforce test-driven discipline, explicitly record rationalizations and failures, and enable rapid iteration without human bottlenecks.

What's the difference between baseline runs and skill-enabled runs?

Baseline runs test without the skill to establish a control performance level. Skill-enabled runs execute with the skill active, allowing direct comparison to quantify the skill's actual contribution and identify performance gaps.

How do I document and learn from skill test failures?

Record explicit rationalizations—explanations the skill offers for failures—and analyze them across all pressure scenarios. This documentation drives iterative refinement, surfaces systematic weaknesses, and ensures skills meet compliance standards before deployment.

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