create-agent

Bootstrap modular AI agents using the OpenRouter SDK.

Updated Feb 26, 2026
One-click install
npx skills add https://github.com/kausthubh-coder/studi --skill create-agent-kausthubh-coder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: create-agent
Source: https://github.com/kausthubh-coder/studi/tree/main/.cursor/skills/create-agent
Command: npx skills add https://github.com/kausthubh-coder/studi --skill create-agent-kausthubh-coder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @openrouter/sdk, zod, eventemitter3, ink, react, typescript, tsx, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the creation of modular AI agents, enabling developers to leverage a wide range of language models through a unified SDK and build custom agentic applications.

Core Features & Use Cases

  • Modular Agent Core: Build standalone agents with extensible hooks and lifecycle management.
  • OpenRouter SDK Integration: Access over 300 language models via a single API.
  • Optional Ink TUI: Develop beautiful terminal UIs for your agents.
  • Use Case: Quickly scaffold a new AI assistant for customer support that can access various tools and models, with an optional command-line interface for testing and interaction.

Quick Start

Use the create-agent skill to bootstrap a new AI agent project with OpenRouter SDK and an Ink TUI.

Frequently Asked Questions about create-agent

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

FAQPage Schema
How do I bootstrap an AI agent using the OpenRouter SDK?

The Skill facilitates bootstrapping modular AI agents using the OpenRouter SDK, enabling unified access to over 300 language models. It supports extensible hooks and an optional Ink TUI for building custom agentic applications with a single API.

Do I need an OpenRouter API key to create an agent with TypeScript?

Yes, creating a TypeScript agent requires an OpenRouter API key, Node.js, and npm. These prerequisites are required to execute the SDK commands and manage the dependencies for your modular AI agent project.

Can I build a terminal UI for my AI agent using Ink and React?

Yes, the Skill includes an optional Ink TUI component leveraging React that enables you to develop interactive command-line interfaces for testing and interacting with your agentic applications.

What's the best way to access multiple language models in a CLI application?

Using the OpenRouter SDK to unify over 300 language models under a single API is the best way to access multiple models in a CLI application. This approach simplifies model switching and management within your TypeScript agent architecture.

How do I add extensible hooks for lifecycle management in an AI agent?

You add extensible hooks by using this Skill to scaffold a modular agent core. It provides built-in lifecycle management capabilities, allowing you to execute custom logic at different stages of the agent's execution flow.