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onboard

Guide new team members through AI-assisted onboarding with Trellis spec files.

Updated Mar 10, 2026
Search Tags:#onboarding#AI-assisted development#development guidelines#real-world examples#team training
One-click install
npx skills add https://github.com/tduck1equack/Web-Technology-Project --skill onboard-tduck1equack
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: onboard
Source: https://github.com/tduck1equack/Web-Technology-Project/tree/main/.agents/skills/onboard
Command: npx skills add https://github.com/tduck1equack/Web-Technology-Project --skill onboard-tduck1equack

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a comprehensive guide for onboarding new team members into an AI-assisted workflow system, ensuring they understand core concepts, real-world examples, and customization guidelines.

Core Features & Use Cases

  • Core Concepts Explanation: Delivers an in-depth understanding of the AI-assisted workflow system, addressing challenges like memory, project-specific knowledge, and context management.
  • Real-World Examples: Walks through detailed examples of bug fixes, planning sessions, code review fixes, large refactorings, and debug sessions to demonstrate practical application.
  • Customization Guidelines: Assists in customizing development guidelines to match project-specific conventions and provides a structured approach for filling out guidelines.

Quick Start

Run the onboard skill to start the onboarding process for a new team member.

Frequently Asked Questions about onboard

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

FAQPage Schema
How do I onboard new team members to an AI-assisted development workflow?▼

Onboarding new developers to AI-assisted workflows requires structured training on core concepts, context management, and project-specific knowledge. This process uses real-world examples like bug fixes and refactorings to demonstrate practical application of development guidelines.

What real-world examples are used to train teams on AI-assisted development?▼

AI-assisted development training uses real-world examples including bug fixes, planning sessions, code review fixes, large refactorings, and debug sessions. These scenarios demonstrate how to apply customized development guidelines and manage project-specific knowledge in practice.

Do I need a specific project setup to start AI-assisted onboarding?▼

AI-assisted onboarding requires a project-specific Trellis setup with a .trellis directory and relevant spec files. This environment provides the structured foundation needed to customize development guidelines and deliver context-aware training to new team members.

How do I customize development guidelines for AI-assisted team training?▼

Customizing development guidelines for AI-assisted team training involves tailoring conventions to match project-specific requirements. The onboarding process provides a structured approach for filling out guidelines, ensuring new members understand project-specific knowledge and context management.

What core concepts does AI-assisted onboarding cover for new developers?▼

AI-assisted onboarding covers core concepts including memory management, project-specific knowledge integration, and context management within the workflow system. These concepts address key challenges developers face when adapting to AI-assisted development environments and customized guidelines.

Can this onboarding process handle large refactorings and debug sessions?▼

The onboarding process explicitly walks through large refactorings and debug sessions as real-world examples. These scenarios demonstrate practical application of AI-assisted development workflows, showing new team members how to handle complex code modifications and troubleshooting.

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