init-agent-project

Scaffold agent setup, per-agent stubs, and MCP workflow integrations.

1|Updated Dec 20, 2025
One-click install
npx skills add https://github.com/ari-ayvazyan/AISkills --skill init-agent-project
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: init-agent-project
Source: https://github.com/ari-ayvazyan/AISkills/tree/main/skills/init-agent-project
Command: npx skills add https://github.com/ari-ayvazyan/AISkills --skill init-agent-project

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Bootstraps a project for AI-agent usage by scaffolding agent setup, per-agent stubs, and MCP workflow integrations to reduce upfront boilerplate.

Core Features & Use Cases

  • Creates or merges AGENTS.md and per-agent stubs for native and non-native agents
  • Orchestrates MCP server installation and configuration through defined workflows
  • Provides a centralized reference (agent registry and MCP patterns) to support idempotent setup

Quick Start

Run the Init Agent Project flow to select agents, then pick features to install and follow the prompts to generate AGENTS.md, stubs, and MCP configurations.

Frequently Asked Questions about init-agent-project

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

FAQPage Schema
How do I set up an AI agent project with MCP workflow integrations?

To set up an AI agent project, you can run the init-agent-project flow to select agents, install MCP features like Playwright, and generate AGENTS.md files with per-agent stubs through guided prompts.

How do I bootstrap configurations for multiple AI agents like Claude Code and Cursor?

Bootstrapping configurations for multiple AI agents involves running a setup flow that scaffolds per-agent stubs and merges AGENTS.md natively for Claude Code, Codex, Gemini, Cursor, Windsurf, and Antigravity.

Can I run agent project setup multiple times without overwriting existing stubs?

Yes, you can run agent project setup multiple times safely because the skill implements idempotent merging of AGENTS.md and per-agent stub files to prevent overwriting existing configurations.

What is the best way to manage secrets when scaffolding AI agent workflows?

The best way to manage secrets when scaffolding AI agent workflows is using a setup flow that explicitly prompts for secrets during MCP server installation and per-agent configuration.

Does this agent setup workflow support UI verification and Playwright MCP?

Yes, this agent setup workflow supports UI verification and Playwright MCP, allowing you to select and install these features during the initial project scaffolding and MCP integration process.