vf

Orchestrate Claude Code, Codex CLI, and GitHub Copilot CLI with safety checks.

8|3|Updated Jun 7, 2026
One-click install
npx skills add https://github.com/magicpro97/vibeflow --skill vf
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vf
Source: https://github.com/magicpro97/vibeflow/tree/main/.agents/skills/vf
Command: npx skills add https://github.com/magicpro97/vibeflow --skill vf

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a structured and safe way to orchestrate AI coding agents, ensuring quality and control over AI-generated code.

Core Features & Use Cases

  • Task Orchestration: Drive Claude Code, Codex CLI, and GitHub Copilot CLI with a clear process.
  • Guardrails: Implement safety checks like confidence gates and guardrail hooks.
  • Verification: Verify the results and ensure high-quality code is produced.
  • Use Case: Use this Skill to automate the process of implementing a new feature in your codebase using AI assistance, with safety checks and confidence verification.

Quick Start

Initialize your AI coding agent setup by running 'vf init'.

Frequently Asked Questions about vf

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

FAQPage Schema
How do I orchestrate AI coding agents safely?

You can orchestrate AI coding agents safely by applying structured workflows and safety guardrails. This ensures code quality and control over AI-generated code through confidence checks and verification steps.

What is the best way to manage AI-assisted coding across multiple tools?

The best way to manage AI-assisted coding is to use a centralized orchestration process. This drives multiple CLI agents and enforces guardrails, ensuring structured workflows and high-quality code production.

Can I use this orchestration process with Claude Code and GitHub Copilot CLI?

Yes, this orchestration process works directly with Claude Code, Codex CLI, and GitHub Copilot CLI. It applies structured workflows and confidence gates to verify the results from these specific coding agents.

How do I verify confidence and code quality when using AI coding agents?

To verify confidence and code quality, implement safety checks like confidence gates and guardrail hooks. These mechanisms validate the AI-generated code and ensure it meets your development standards.

What are the limitations of automating software development with AI agents?

Automating software development with AI agents lacks built-in safety without orchestration. Limitations include unverified code quality and unpredictable outputs, which require structured guardrails and confidence checks to mitigate.