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onboard

Onboard new team members to Viben's AI-assisted development workflow.

2|Updated Jan 30, 2026
Search Tags:#code review#developer workflow#project guidelines#session memory#ai onboarding#workflow commands
One-click install
npx skills add https://github.com/LinXueyuanStdio/viben --skill onboard-linxueyuanstdio
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: onboard
Source: https://github.com/LinXueyuanStdio/viben/tree/main/packages/core/templates/codex/skills/onboard
Command: npx skills add https://github.com/LinXueyuanStdio/viben --skill onboard-linxueyuanstdio

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of getting a new team member productive quickly in Viben’s AI-assisted development workflow by teaching the underlying principles behind session memory, project-specific guidelines, and end-of-work verification.

Core Features & Use Cases

  • Core concepts for reliable AI context: Explains why Viben uses .viben/workspace/ for session memory, docs/specs/ for project-specific conventions, and /viben:finish-work to prevent guideline drift.
  • Command deep dive with “why” and “what happens”: Teaches what /viben:start, /viben:finish-work, and /viben:record-session do and what goes wrong when each is skipped.
  • Five real-world workflow examples: Walks through end-to-end scenarios for bug fixes, planning-only work, code review fixes, large refactors, and debug sessions so the developer can apply the concepts immediately.
  • Guideline customization workflow: Guides the developer to detect whether docs/specs/ is still using empty templates and to fill or confirm the project’s AI development guidelines.

Quick Start

Ask the AI: “Please onboard me to the Viben workflow and walk me through the core concepts, five real-world examples, and how to customize docs/specs for this repository.”

Frequently Asked Questions about onboard

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

FAQPage Schema
How do I onboard to an AI-assisted development workflow without losing session context?▼

To prevent AI context loss during development, store session memory in .viben/workspace/ and project conventions in docs/specs/. This ensures the AI retains context across multiple runs for tasks like debugging or refactoring.

What is the purpose of project-specific guidelines in AI code generation workflows?▼

Project-specific guidelines in AI code generation workflows ensure the AI follows repository conventions and prevents guideline mismatch. Storing them in docs/specs/ provides the AI with required standards for consistent code review and refactoring outcomes.

How do I customize empty placeholder templates for AI development guidelines?▼

To customize empty placeholder templates for AI development guidelines, detect whether docs/specs/ contains unfilled templates, then populate them with your project's specific conventions. This ensures the AI adheres to your repository's actual coding standards.

Why does AI-assisted code refactoring suffer from post-edit drift and how do I prevent it?▼

AI-assisted code refactoring suffers from post-edit drift when session context is not properly recorded between runs. You can prevent this by using end-of-work verification commands like /viben:finish-work to check for guideline drift.

What happens if I skip session recording during AI debugging workflows?▼

If you skip session recording during AI debugging workflows, the AI loses the history of repeatable problems across multiple runs. Commands like /viben:record-session save this context to .viben/workspace/ to maintain continuous debugging state.

Can I use this onboarding workflow for code review fixes and planning tasks?▼

Yes, you can use this onboarding workflow for code review fixes and planning tasks. It provides five real-world scenarios covering bug fixes, planning-only work, refactoring, and debugging to help developers apply the workflow commands immediately.

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