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Give your AI coding assistant the knowledge to work with the OpenRouter Client SDKs by installing our official openrouter-typescript-sdk skill from the OpenRouterTeam/skills repository. The skill covers both the Client SDKs (@openrouter/sdk) and the Agent SDK (@openrouter/agent). When working with the Client SDKs, your AI assistant will focus on the platform features: model listing, chat completions, credits, OAuth, and API key management.

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Quick Start

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Claude Code

/plugin marketplace add OpenRouterTeam/skills
/plugin install openrouter@openrouter

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Cursor

Add via Settings > Rules > Add Rule > Remote Rule (Github) with OpenRouterTeam/skills.

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GitHub CLI

Requires GitHub CLI v2.90.0+. Works with Claude Code, Cursor, OpenCode, Codex, Gemini CLI, Windsurf, and many more agents: 
gh skill install OpenRouterTeam/skills openrouter-typescript-sdk

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Supported AI Coding Assistants

The skill works with any AI coding assistant that supports the Agent Skills standard:
AssistantStatus
Claude CodeSupported
CursorSupported
OpenCodeSupported
GitHub CopilotSupported
CodexSupported
AmpSupported
Roo CodeSupported
AntigravitySupported

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What the Skill Provides

Once installed, your AI coding assistant will have knowledge of:
  • SDK Installation & Setup - How to install and configure @openrouter/sdk in TypeScript projects
  • Chat Completions - Working with the chat API for conversations
  • Embeddings - Generating embeddings for semantic search and RAG
  • Error Handling - Proper error handling patterns
  • Streaming - Real-time streaming responses
  • Tool Use - Implementing function calling and tools
  • API Key Management - Programmatic API key creation and management
  • OAuth - PKCE authentication flow for user-facing applications

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Example Usage

After installing the skill, your AI assistant can help you with tasks like: “Help me set up OpenRouter in my project” The assistant will know to use: 
import { OpenRouter } from '@openrouter/sdk';

const client = new OpenRouter();

const completion = await client.chat.send({
  model: 'anthropic/claude-sonnet-4',
  messages: [
    { role: 'user', content: 'Hello!' }
  ]
});
“Add streaming to my OpenRouter call” The assistant understands the streaming API: 
import { OpenRouter } from '@openrouter/sdk';

const client = new OpenRouter();

const stream = await client.chat.send({
  model: 'anthropic/claude-sonnet-4',
  messages: [{ role: 'user', content: 'Tell me a story' }],
  stream: true
});

for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? '');
}
If you need higher-level primitives for building agents — multi-turn loops, tool definitions, stop conditions — see the Agent SDK instead.

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Repository

The skill source is available at: github.com/OpenRouterTeam/skills Contributions and feedback are welcome.