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magicpro97
magicpro97COMMUNITY
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template-skill

Coordinate Claude Code, Codex CLI, and GitHub Copilot CLI for task management and verification.

8|3|Updated Jun 7, 2026
Search Tags:#workflow management#AI coding#local development#GitHub Copilot#source protection
One-click install
npx skills add https://github.com/magicpro97/vibeflow --skill template-skill-magicpro97
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: template-skill
Source: https://github.com/magicpro97/vibeflow/tree/main/.agents/skills/template-skill
Command: npx skills add https://github.com/magicpro97/vibeflow --skill template-skill-magicpro97

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires claudocode, codex, github-copilot-cli, and includes scripts (resource) components.

What problem does it solve?

The template-skill streamlines workflows that rely on Claude Code, Codex CLI, and GitHub Copilot CLI by providing a single point of control, improving efficiency and collaboration in software development tasks.

Core Features & Use Cases

  • Efficient Orchestration: Manages multiple AI coding agents seamlessly, ensuring tasks are completed efficiently.
  • Local-first Development: Facilitates the creation of software in an environment that respects source protection and security.
  • Task Verification: Provides feedback on the completion of tasks and helps to refine AI outputs.

Quick Start

Start using template-skill to initialize and run an AI coding engine within your local software project by running: vf run claude.

Frequently Asked Questions about template-skill

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

FAQPage Schema
How do I coordinate multiple AI coding agents like Claude Code and Codex CLI together?▼

AI coding agents are coordinated through a central orchestration layer that manages task delegation and verifies results. This approach uses Claude Code, Codex CLI, and GitHub Copilot CLI within a local-first development context to ensure efficient task completion.

What is local-first AI development and how does it ensure source protection?▼

Local-first AI development processes your codebase directly on your machine rather than in the cloud. This ensures source protection by keeping your proprietary code and data within your local environment throughout the entire workflow.

How do I verify AI coding outputs and refine generated code?▼

To verify AI coding outputs, you can use built-in task verification mechanisms that provide feedback on completion. This refines AI outputs by checking the results of delegated tasks within your local software development workflow.

Does this workflow management approach work with GitHub Copilot CLI for local development?▼

Yes, this workflow management approach works directly with GitHub Copilot CLI alongside Codex CLI and Claude Code. It integrates these tools into a local-first development context to manage tasks and verify results efficiently.

What are the limitations of using multiple AI coding agents for software development?▼

A limitation of using multiple AI coding agents is the complexity of task management and output verification. Without a central orchestration point, coordinating Claude Code, Codex CLI, and GitHub Copilot CLI can lead to inefficient workflows and unverified results.

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