Testing Skills with Subagents FAQs

Question 1

How do subagents help in the testing process?

Accepted Answer

Subagents act as objective testers that simulate specific pressure scenarios. By using a separate agent to challenge the skill's instructions, you get unbiased feedback on where the skill fails, allowing for systematic performance hardening.

Question 2

When should I use this methodology for my skills?

Accepted Answer

You should use this methodology whenever you are developing complex Claude Code skills that require high reliability. It is essential for identifying 'instruction holes' and ensuring the AI follows specific logic even in difficult edge cases.

Question 3

What does the Testing Skills with Subagents skill do?

Accepted Answer

This skill implements a rigorous testing methodology for Claude Code skills using a 'Verify Green' process. It uses subagents to create adversarial pressure scenarios that stress-test AI instructions to ensure they are robust and reliable.

Question 4

How does this improve my AI development workflow?

Accepted Answer

It replaces 'vibe-based' prompt engineering with a systematic Test-Driven Development (TDD) workflow. This ensures your Claude skills are bulletproof, reduces token waste from failed attempts, and creates an audit trail for skill performance.

Question 5

Is this skill still actively maintained?

Accepted Answer

This specific skill has been merged into the 'writing-skills' directory. While the methodology remains the industry standard for Claude Code development, all testing features are now consolidated into 'writing-skills' to provide a single source of truth.

Testing Skills with Subagents

Testing Skills with Subagents

概要

主な機能

ユースケース

概要

主な機能

ユースケース