What problem does it solve? Writing and maintaining CUE configurations is error-prone because unification can silently produce false positives, and validation failures are hard to diagnose without structured guidance on schemas, constraints, and testing patterns. ## Core Features & Use Cases - Schema and Configuration Authoring: Applies patterns for definitions, constraints, hidden fields, unification, and list comprehensions when writing CUE files. - Validation and Debugging: Uses commands like cue vet, cue eval, and cue export to validate files, troubleshoot errors, and verify generated YAML/JSON output. - Test-First Workflow: Enforces a critical rule that tests must be verified to detect failures, avoiding false positives caused by CUE's unification behavior. - Use Case: When building a Kubernetes or infrastructure configuration in CUE, use this Skill to write a failing validation test first, implement the schema incrementally, and export verified YAML output. ## Quick Start Use the cue skill to create a validated CUE schema for my deployment configuration and verify it with cue vet.