yes-ja

What problem does it solve?

This Skill enforces rigorous AI behavior by preventing common AI pitfalls like guessing, deflecting, and superficial fixes, ensuring thoroughness and evidence-based outputs.

Core Features & Use Cases

• Evidence-Based Reasoning: Mandates that all AI claims are backed by data or tool output.
• Safety Gates: Implements pre-action checks for backups, blast radius, and deployment safety.
• Anti-Lazy Patterns: Catches and corrects AI habits like blind retries, empty questions, and ignoring tools.
• Use Case: When debugging a complex application error, this Skill ensures the AI doesn't just guess at the cause but systematically gathers evidence, checks logs, and verifies potential fixes before reporting a solution.

Quick Start

Use the yes-ja skill to debug the current application error by gathering evidence and verifying fixes.