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npx claudepluginhub vanman2024/ai-dev-marketplace --plugin openrouterHow this command is triggered — by the user, by Claude, or both
Slash command
/openrouter:buildThe summary Claude sees in its command listing — used to decide when to auto-load this command
# Build OpenRouter Integration **Project Name:** `$0` **Mode:** `$1` (--existing for existing project, omit for new) --- ## Phase 1: Project Analysis **Goal:** Understand project context **Actions:** --- ## Phase 2: Core Setup **Goal:** Set up OpenRouter client **Actions:** --- ## Phase 3: Model Routing **Goal:** Configure model routing **Actions:** --- ## Phase 4: Framework Integration **Goal:** Integrate with AI framework **Actions:** --- ## Summary **Output:**
/SKILLDeploys claude-code-router proxy service to enable third-party AI providers (OpenRouter, Gemini, DeepSeek, Ollama) with Anthropic API format for TeamMCP agents.
/ask-openrouterDelegates a question to a configured OpenRouter model for a second opinion. Supports optional alias prefix to select a specific delegate.
/model-configInteractive wizard that detects installed AI providers and displays or guides configuration of models, routing, and cost for the Claude Octopus workflow system.
/addAdd a specific feature to an existing Vercel AI SDK application. Features include streaming, tools, chat, ai-gateway, generative-ui, middleware, mcp, rag, attachments, multi-modal, agents, production, database, observability, testing.
/llmInvokes llm-integrator agent to generate LLM integration patterns, RAG systems, and prompt engineering solutions for a required requirement and optional pattern.
/ai-agents-setupInitializes multi-agent orchestration project using @ai-sdk-tools/agents, creating directory structure, TypeScript agent files for coordinator/researcher/coder/reviewer, and installing Node.js dependencies.
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Project Name: $0
Mode: $1 (--existing for existing project, omit for new)
Goal: Understand project context
Actions:
Task(openrouter-setup-agent) Analyze project for OpenRouter setup.
Detect: Existing AI framework, language
Check: Current LLM integrations
Output: Integration strategy
Goal: Set up OpenRouter client
Actions:
Task(openrouter-setup-agent) Set up OpenRouter core.
Requirements:
- Configure API key
- Set up client instance
- Configure base parameters
- Test connection
- Add error handling
Goal: Configure model routing
Actions:
Task(openrouter-routing-agent) Set up model routing.
Requirements:
- Configure model preferences
- Set up fallback chains
- Add cost optimization
- Configure latency requirements
- Set up provider priorities
Goal: Integrate with AI framework
Actions:
Based on detected framework:
If Vercel AI SDK:
Task(openrouter-vercel-integration-agent) Integrate with Vercel AI SDK.
If LangChain:
Task(openrouter-langchain-agent) Integrate with LangChain.
Requirements:
- Create provider wrapper
- Configure streaming
- Add tool support
- Set up response handling
Output:
✅ OpenRouter Integration Complete
To add features:
/openrouter:add vercel-ai # Vercel AI SDK
/openrouter:add langchain # LangChain
/openrouter:add routing <strategy> # Model routing
/openrouter:add fallback # Fallback config
To use:
Import provider from configured location