Multi-AI Testing & TDD

About

Multi-AI Testing is a specialized Claude Code skill designed to automate and enforce high-quality software testing through a robust multi-agent architecture. By separating the roles of test generation, implementation, and verification, it prevents the common AI pitfall of 'test gaming,' where code is overfitted just to pass specific scripts. The skill facilitates a complete TDD lifecycle—including property-based testing and edge case discovery—aiming for a minimum 80% coverage gate and a 95% target, while significantly reducing maintenance through self-healing test patterns.

Key Features

• Comprehensive test generation for Unit, Integration, E2E, and Property-based suites
• Dynamic coverage validation with automated gap identification and filling
• Independent multi-agent verification to prevent test gaming and overfitting
• AI-powered edge case discovery and self-healing test adaptation
• Automated TDD workflows including Test-Fail-Implement-Pass-Verify cycles
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Use Cases

• Verifying that AI-generated implementations fulfill requirements through independent logic audits
• Enforcing strict Test-Driven Development for mission-critical application logic
• Rapidly increasing test coverage for legacy codebases to 95% thresholds