load-standards

Load 22 DataHub connector golden standards from markdown files into context.

36|86|Updated Feb 25, 2026
One-click install
npx skills add https://github.com/datahub-project/datahub-skills --skill load-standards
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: load-standards
Source: https://github.com/datahub-project/datahub-skills/tree/main/skills/load-standards
Command: npx skills add https://github.com/datahub-project/datahub-skills --skill load-standards

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill ensures that AI agents have access to the complete set of DataHub connector development and review standards, preventing errors and promoting best practices.

Core Features & Use Cases

  • Comprehensive Standards Loading: Loads all 22 DataHub connector golden standards, covering core, interface, and source-type specific guidelines.
  • Contextual Awareness: Provides the AI with the necessary background information for developing or reviewing DataHub connectors.
  • Use Case: Before starting to build a new connector for a SQL database, you can use this skill to load all relevant standards, ensuring your development adheres to DataHub's established best practices.

Quick Start

Load all the DataHub connector golden standards into context.

Frequently Asked Questions about load-standards

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

FAQPage Schema
How do I load DataHub connector development standards into my AI context?

To load DataHub connector standards, this Skill reads multiple markdown files from a local directory structure, injecting all 22 golden standards into the AI context for immediate reference during development and review tasks.

What guidelines are included for DataHub connector development and review?

DataHub connector guidelines include core, interface, and source-type specific standards. These 22 golden standards provide comprehensive contextual awareness to ensure adherence to established best practices during development.

When do I need to load DataHub connector standards?

You need to load DataHub connector standards before starting to build a new connector, such as one for a SQL database, or when reviewing connectors to ensure strict adherence to DataHub's established best practices.

How to prepare my local environment for loading DataHub connector standards?

Preparing to load DataHub connector standards requires a local directory structure containing multiple markdown files. The Skill reads these references to inject the 22 golden standards into the active AI context.

Does loading DataHub connector standards require any external dependencies?

Loading DataHub connector standards requires no external dependencies. The Skill operates by directly reading multiple markdown files from a local directory structure to populate the AI context with reference guidelines.