des-persona-implementation-developer

What problem does it solve?

It prevents AI agents from implementing data engineering work prematurely or inconsistently by ensuring implementation tasks strictly follow already-approved DES artifacts with traceability and verifiable evidence.

Core Features & Use Cases

• Artifact-to-Implementation Translation: Converts approved DES design artifacts into scoped code, configs, tests, docs, data models, and pipelines while preserving traceability from plan to files changed.
• Implementation-Correctness Guardrails: Enforces correctness around generation/source behavior, storage patterns, ingestion accuracy, transformation idempotency, and serving expectations.
• Change Management & Handoff Rules: Handles scope deviations by logging deviations and handing off to the appropriate coordinator (workflow coordinator, data architect/quality engineer, or delivery reviewer) instead of silently drifting.
• Use Case: After a router selects an implementation mode and the required DES artifacts are approved, use this skill to produce implementable tasks plus test/validation evidence that demonstrate the build meets acceptance criteria.

Quick Start

Use des-persona-implementation-developer to implement the approved DES artifacts for the selected mode and produce a file-and-test-evidence handoff ready for independent review.