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dygo-metadata-engineering

Develop or review dygo metadata loading, YAML decoding, JSON Schemas, validation, naming, Field types, registries, routes, and persisted metadata contracts. Use for framework-level metadata behavior rather than authoring one Business App Entity.

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  • SKILL.md1.6 KB

SKILL.md(原文)

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dygo Metadata Engineering

Keep metadata explicit, readable, and deterministic.

Start

Read docs/metadata-authoring.md, docs/entity-metadata.md, docs/app-manifest.md, and the affected metadata document. Inspect shared packages such as internal/yamlmeta, Entity schema and catalog packages, naming, reserved words, routes, and Core metadata Records.

Rules

  • Keep YAML files as source of truth and persisted Core metadata as the runtime registry.
  • Use one decoding and validation contract for equivalent metadata.
  • Reject unknown, conflicting, reserved, or ambiguous identities early.
  • Keep App-qualified internal identity separate from user-facing routes and storage names.
  • Centralize Field-type behavior, naming, reserved names, and route rules in shared registries.
  • Keep JSON Schemas aligned with current accepted metadata, but treat runtime Go validation as authoritative.
  • Preserve deterministic ordering in validation, plans, and persisted metadata.
  • Return diagnostics with the source file and exact metadata path when possible.
  • Do not add required metadata only to serve display or storage derivations that dygo can compute.
  • Update documentation, schema files, generators, runtime readers, and validation together when a public metadata contract changes.

Use focused contract and round-trip tests for changed metadata behavior.

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