What problem does it solve?
This Skill provides comprehensive engineering principles and standards to ensure consistency, reliability, and safety across code contributions and AI interactions.
Core Features & Use Cases
- Guidelines for Error Handling: Defines approaches for loud, actionable error reporting to prevent silent failures.
- Progress and Readiness Reporting: Introduces metrics and JSON reports to track operation completeness and coverage gaps.
- Operational Best Practices: Details idempotent, repairable, and structured logging techniques for robust workflows.
- CLI Design and Config Management: Describes flat command structures, environment variable overrides, and configuration hierarchies.
- Testing Strategies: Explains tiered testing approaches for reliable, zero-cost test executions without external API dependencies.
Quick Start
Review the principles outlined in the documentation to align your development and operational practices with the recommended standards.