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starlink-awaken
starlink-awakenCOMMUNITY
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reference-pack

Document gbrain skillpack manifest, routing, and testing requirements.

Updated Jun 10, 2026
Search Tags:#testing#development#architecture#documentation#skillpack#gbrain
One-click install
npx skills add https://github.com/starlink-awaken/omostation-gbrain --skill reference-pack-starlink-awaken
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: reference-pack
Source: https://github.com/starlink-awaken/omostation-gbrain/tree/main/examples/skillpack-reference/skills/reference-pack
Command: npx skills add https://github.com/starlink-awaken/omostation-gbrain --skill reference-pack-starlink-awaken

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill provides a canonical reference for developers to understand the gbrain skillpack architecture, ensuring new packs meet the required quality and structural standards.

Core Features & Use Cases

  • Contract Education: Explains the 10-point doctor scoring system for skillpack validation.
  • Artifact Guidance: Details the required structure for skillpacks, including manifest, routing, and testing files.
  • Use Case: Use this skill when you are building a new gbrain extension and need to verify that your project structure, testing coverage, and documentation meet the requirements for community or endorsed tier status.

Quick Start

Ask the agent to explain how third-party gbrain skillpacks work to receive a comprehensive breakdown of the required artifacts and scoring criteria.

Frequently Asked Questions about reference-pack

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

FAQPage Schema
How do I develop a gbrain-compatible skillpack that meets registry requirements?▼

To develop a gbrain-compatible skillpack, you must follow specific structural guidelines for manifests, routing evaluation, and testing files. This ensures your AI extension meets the standardized quality rubrics required for registry submission and community distribution.

What is the 10-point doctor scoring system for skillpack validation?▼

The 10-point doctor scoring system is a standardized quality rubric used to evaluate gbrain skillpacks. It assesses structural compliance, testing coverage, and documentation completeness to determine if a pack qualifies for endorsed tier status.

What artifacts are required when building a gbrain skillpack?▼

Required artifacts for a gbrain skillpack include manifest files, routing configurations, and testing documentation. These components ensure test-driven development and adherence to the architectural contract required for high-quality AI extensions.

Can I use third-party gbrain skillpacks for community distribution?▼

Yes, third-party gbrain skillpacks can be distributed to the community registry. They must pass the 10-point doctor scoring system and meet structural requirements for manifests and routing to qualify for community or endorsed tier status.

How does routing evaluation work in gbrain skillpack architecture?▼

Routing evaluation in gbrain skillpack architecture determines how effectively requests are directed within the AI extension. Proper routing configuration is a required artifact evaluated during the 10-point doctor scoring validation process.

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