uncertainty-checklist

What problem does it solve?

This Skill prevents the AI from confidently presenting inaccurate or incomplete code by enforcing a rigorous self-audit process before any output is shown to the user.

Core Features & Use Cases

• Import Verification: Checks if imported files and modules are known and exported correctly.
• API Call Validation: Confirms API endpoints and tRPC procedures match scanned definitions.
• Type and Field Accuracy: Ensures referenced types and fields are correctly understood from definitions.
• Placeholder Elimination: Guarantees no TODOs, FIXMEs, or unimplemented functions remain.
• Confidence Calibration: Prompts the AI to qualify uncertain statements and avoid absolute claims.
• Use Case: Before submitting a code change, the AI runs through this checklist to ensure all imports are valid, API calls are correct, types are accurate, and no placeholder code is present, preventing runtime errors and improving code quality.

Quick Start

Run the uncertainty checklist before presenting any generated code.