What problem does it solve?
Inconsistent definitions, unverified facts, and unclear validation criteria lead to errors, rework, and confusion across teams. This Skill provides a template for creating canonical, verifiable reference documentation, ensuring everyone operates from a single, trusted source of truth, reducing ambiguity and improving accuracy.
Core Features & Use Cases
- Canonical Definitions: Establishes precise, sourced definitions for terms and concepts, eliminating definitional drift.
- Verified Facts & Metrics: Documents quantifiable information with clear sources and freshness policies, ensuring data reliability.
- Validation Criteria: Defines definitive rules, business logic, and test cases for validation, streamlining quality assurance.
- Use Case: A new engineer needs to understand transaction states and error codes for a payment system. They can query Claude, which uses the ground truth skill to provide exact definitions, state transitions, and error resolutions, ensuring correct implementation and significantly reducing debugging time.
Quick Start
Example: Creating a new ground truth skill
User: "Create a ground truth skill for Phoenix payment error codes"
Claude: [Loads this template skill, uses structure to create Phoenix-specific ground truth]