Code Testing Generation Skill

An AI-powered skill that generates comprehensive, workable unit tests for any programming language using a coordinated multi-agent pipeline.

Non-negotiable execution contract

Classify scope before editing:

• Broad (a project/package-wide suite, or multiple production files/modules): create research.md and plan.md in a resolved non-stageable <TESTAGENT_DIR> before implementation, then status.md there after the final test-quality review. If these files are absent, the broad workflow is incomplete.
• Focused (the user explicitly limits work to one function/class/file or one missing method): do not create intermediate state files or fan out to multiple agents. A sparse project-wide request remains broad even when only one source module is present.