onboard

Launch guided onboarding for durable global context on an active gc-branch.

32|6|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/handsupmin/gc-tree --skill onboard-handsupmin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: onboard
Source: https://github.com/handsupmin/gc-tree/tree/main/skills/onboard
Command: npx skills add https://github.com/handsupmin/gc-tree --skill onboard-handsupmin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of repeatedly re-explaining who you are, how you work, and how your repositories connect when moving across sessions and projects. It creates durable global context so AI tools can stay aligned without starting from scratch every time.

Core Features & Use Cases

  • Guided context gathering: Leads an onboarding flow that starts from the user's docs or description and asks one question at a time.
  • Cross-repo understanding: Inspects related repositories, captures patterns from code and docs, and records how work moves between repos.
  • Durable knowledge writing: Produces structured onboarding docs, workflows, conventions, glossary terms, and repo scope mappings for future reuse.
  • Verification and recovery: Rechecks the saved context, fixes quality issues automatically, and only finishes when the onboarding state is complete.
  • Use case: A team member starts a new gc-branch, shares a few reference docs, and uses this Skill to build lasting context for ongoing product and engineering work.

Quick Start

Tell the Skill to begin onboarding for the active gc-branch and share any organized docs or reference material you already have.

Frequently Asked Questions about onboard

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

FAQPage Schema
How do I create durable global context for AI across multiple sessions?

You can build durable global context by running a guided onboarding flow that captures your product, team, repository, and workflow knowledge into structured documentation for future AI reuse across sessions.

What is the best way to onboard an AI to understand cross-repository workflows?

Cross-repository onboarding is achieved through bounded local inspection of related repositories, capturing code patterns and documentation to map how work moves between repos into a durable global context.

Can I use existing reference docs to start the onboarding workflow?

Yes, the onboarding workflow starts directly from your organized reference docs or descriptions, asking one question at a time to extract and structure the necessary global context tied to your active branch.

Does the onboarding process verify captured global context before finishing?

Yes, the onboarding process includes a verification step that rechecks the saved global context, automatically fixes quality issues, and only completes when the onboarding state is fully verified.

Do I need an empty gc-branch to build reusable AI knowledge?

An empty gc-branch is the primary target for this onboarding flow, designed to establish reusable knowledge, glossary terms, and repo-scope mappings from scratch for ongoing engineering work.