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yanzhangshuai
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onboard

Persist AI session state and inject project guidelines into Trellis workflows.

Updated Mar 3, 2026
Search Tags:#onboarding#code-quality#guidelines#dev-workflow#memory-persistence#trellis#ai-memory
One-click install
npx skills add https://github.com/yanzhangshuai/wen-yuan --skill onboard-yanzhangshuai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: onboard
Source: https://github.com/yanzhangshuai/wen-yuan/tree/main/.agents/skills/onboard
Command: npx skills add https://github.com/yanzhangshuai/wen-yuan --skill onboard-yanzhangshuai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This onboarding skill provides a structured framework to bring AI agents into the Trellis workflow, ensuring they start with project context, persistent memory, and aligned guidelines so they can contribute without re-learning common patterns.

Core Features & Use Cases

  • Restore AI memory at session start using the $start routine to access recent history and context.
  • Inject project-specific guidelines before coding with the $before-*-dev skills to align with team conventions.
  • Combat context drift with post-code checks via the $check-* skills and holistic reviews via $finish-work.
  • Record and summarize sessions with $record-session to preserve learning and progress for future sessions.

Quick Start

Begin the onboarding flow by starting a Trellis session, complete Parts 1–3, and then record the session.

Frequently Asked Questions about onboard

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

FAQPage Schema
How do I persist AI memory across coding sessions?▼

To persist AI memory across coding sessions, use the $start routine to restore recent history and the $record-session step to save context. This ensures your AI agent retains project knowledge without re-learning patterns.

What is the best way to inject project-specific guidelines into AI development?▼

The best way to inject project-specific guidelines is by using the $before-*-dev skills before coding begins. This aligns the AI agent with team conventions and project rules to prevent context drift.

How do I run code quality checks against injected guidelines?▼

You run code quality checks against injected guidelines using the $check-* skills after coding. This verifies alignment, while the $finish-work step provides a holistic review to combat context drift.

Can I use this onboarding workflow for general software engineering tasks?▼

Yes, you can use this onboarding workflow for general software engineering tasks. It targets AI-assisted development by managing memory restoration, guideline injection, and quality checks within software engineering teams.

Why does my AI agent lose project context between sessions?▼

Your AI agent loses project context because it lacks persistent memory. By implementing the $record-session and $start steps from a Trellis workflow, you can save and restore session state to prevent this loss.

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