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zhukunpenglinyutong
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onboard

Onboard new Trellis AI team members with memory concepts and workflow guidelines.

3.9k|339|Updated Feb 3, 2026
Search Tags:#workflow#onboarding#memory#guidelines#ai-workflow#trellis
One-click install
npx skills add https://github.com/zhukunpenglinyutong/desktop-cc-gui --skill onboard-zhukunpenglinyutong
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: onboard
Source: https://github.com/zhukunpenglinyutong/desktop-cc-gui/tree/main/.agents/skills/onboard
Command: npx skills add https://github.com/zhukunpenglinyutong/desktop-cc-gui --skill onboard-zhukunpenglinyutong

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Interactive onboarding for new team members to the Trellis AI-assisted workflow system. It explains AI memory, project-specific knowledge, and context drift, and shows how the system structure supports effective collaboration.

Core Features & Use Cases

  • Core philosophy overview: AI memory, project-specific guidelines, and contextual management
  • System structure deep-dive: command references, project layout, and workflow integration
  • Real-world workflow examples: practical scenarios to illustrate expected usage
  • Guideline customization: how to tailor instructions for the team and project

Quick Start

Initiate onboarding with the onboard skill for a new Trellis contributor.

Frequently Asked Questions about onboard

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

FAQPage Schema
What is the Trellis AI workflow onboarding process for new developers?▼

Guideline customization for AI workflows is managed via the spec directory, allowing you to tailor instructions to your team and project. This ensures that AI memory and context management align with your specific development practices.

How does AI memory propagation work in an AI-assisted workflow?▼

AI memory propagation in an AI-assisted workflow functions by teaching new team members how project-specific knowledge and contextual guidelines persist across sessions. The onboarding process explains this mechanism to maintain consistent collaboration and prevent context drift.

How do I customize project guidelines for an AI workflow system?▼

Project guidelines for an AI workflow system are customized via the spec directory, allowing you to tailor instructions for your team and project. This ensures that AI memory and context management align with your specific development practices.

Can I use guided onboarding to understand command references and project layout?▼

Yes, guided onboarding provides a system structure deep-dive that explains command references and project layout. This helps developers integrate effectively into the AI-assisted workflow by understanding the practical application of these structural elements.

Do I need prior knowledge of context management before starting AI workflow onboarding?▼

No prior knowledge of context management is needed, because the onboarding process explains AI memory and contextual management from the ground up. It is designed for developers joining the project and covers core philosophy to real-world workflows.

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