des-persona-implementation-developer

Convert approved DES artifacts into scoped implementation tasks with traceability.

2|Updated May 20, 2026
One-click install
npx skills add https://github.com/DKSang/DES-SKILL --skill des-persona-implementation-developer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: des-persona-implementation-developer
Source: https://github.com/DKSang/DES-SKILL/tree/main/skills/des-persona-implementation-developer
Command: npx skills add https://github.com/DKSang/DES-SKILL --skill des-persona-implementation-developer

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about des-persona-implementation-developer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert approved data engineering artifacts into implementation tasks?

To convert approved data engineering artifacts into implementation tasks, you translate design specifications into scoped code, configs, tests, docs, and pipelines while preserving traceability from plan to changed files.

What is traceability in data pipeline implementation?

Traceability in data pipeline implementation is the process of preserving a verifiable link from approved design artifacts to the resulting code, tests, and build evidence for independent review.

How do I enforce acceptance criteria when building data pipelines?

To enforce acceptance criteria when building data pipelines, you execute implementation tasks that produce test and validation evidence demonstrating the build meets requirements without inventing new ones.

What should I do when data ingestion scope deviates from approved artifacts?

When data ingestion scope deviates from approved artifacts, you should log the deviations and hand off to the appropriate coordinator instead of silently drifting from the original design contracts.

How to handle transformation idempotency during data pipeline implementation?

To handle transformation idempotency during data pipeline implementation, you apply correctness guardrails that respect generation behavior and enforce testable acceptance criteria without redefining contracts.

Do I need approved design artifacts before generating data pipeline code?

Yes, you need approved design artifacts and a selected implementation mode before generating data pipeline code to ensure implementation correctness and prevent premature or inconsistent builds.