approve-hld

Approve high-level design documents by updating status and version history.

5|1|Updated Sep 23, 2025
One-click install
npx skills add https://github.com/RDEWAI/Redefining-DataEngineering-With-AI --skill approve-hld
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: approve-hld
Source: https://github.com/RDEWAI/Redefining-DataEngineering-With-AI/tree/main/chapter-6/architect-plugin/skills/approve-hld
Command: npx skills add https://github.com/RDEWAI/Redefining-DataEngineering-With-AI --skill approve-hld

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually tracking and updating high-level design (HLD) approval status is error-prone and creates bottlenecks that delay downstream data engineering work. This Skill automates the formal approval process to ensure HLDs are properly signed off before downstream work begins.

Core Features & Use Cases

  • Status Validation: Checks if the HLD is already approved or still in draft status to prevent duplicate or premature approvals.
  • Metadata Updates: Automatically updates the HLD's Status and Last Modified fields, and adds a new entry to the Version History table.
  • Audit Logging: Writes a session memory note recording the approval action for future reference.
  • Use Case: Data architects can use this Skill to quickly sign off on a reviewed HLD for a data pipeline project, enabling the team to immediately start creating downstream data model specifications, transformation logic, and quality checks.

Quick Start

Use the approve-hld skill to formally approve the latest high-level design document for your data engineering project.

Frequently Asked Questions about approve-hld

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

FAQPage Schema
How do I formally approve a high-level design document for a data engineering project?

To formally approve a high-level design (HLD) document, you update its status to Approved and add a version history entry. This sign-off acts as a mandatory gate prior to creating downstream data model specifications and transformation mappings.

What happens if I try to approve an HLD that is still in draft status?

Approving an HLD still in draft status triggers pre-approval validation checks that prevent premature sign-off. The system enforces these checks to ensure unreviewed draft documents are not accidentally approved before downstream data engineering work begins.

What downstream artifacts are unlocked after HLD approval?

HLD approval unlocks downstream data artifacts including data model specifications, transformation mappings, data quality checks, low-level designs, and implementation stories. This ensures all downstream data architecture workflows follow proper sign-off procedures.

How is audit logging handled when an HLD status is updated to Approved?

Audit logging for HLD approval is handled by writing session memory notes that record the action for future reference. Additionally, the metadata table is modified via targeted edits to update Status, Last Modified fields, and Version History.

Can I approve the same high-level design document multiple times?

No, you cannot approve the same HLD multiple times because pre-approval validation checks detect duplicate approved statuses. This prevents redundant sign-offs and maintains accurate version history for your data architecture workflows.