Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Scaffolds a headless agent in TypeScript using @openrouter/agent and Bun — for CLI tools, API servers, queue workers, and pipelines. No terminal UI. Use when building a headless agent, programmatic agent, CLI tool that uses AI, batch agent, pipeline agent, API agent, agent without a UI, or agent service.
Spin up N Rhino MCP sessions in parallel and fan out one agent per Rhino. Use when the user wants multiple Rhinos running simultaneously with each agent driving its own — e.g. "spawn 3 agents and have each launch Rhino", "run 5 Rhino tasks in parallel". For a single Rhino, use `/launch-rhino` instead.
Use this skill when running Gemini API Managed Agents through the Interactions API, especially background execution (background=True, poll and reconnect by interaction id), attaching remote MCP servers as tools, custom function calling with the requires_action flow, and reusing a server side sandbox across turns with environment_id. Covers the antigravity managed agent, the client.interactions SDK surface, and the agent vs model gotcha. SDKs and tools used, google-genai Python SDK (client.interactions), Python 3.10+, Gemini API key.
This skill should be used when implementing, consuming, or debugging an Open Responses-compliant API — the open standard for multi-provider LLM interoperability. Covers protocol, items, state machines, streaming events, tools, the agentic loop pattern, and extensions. Triggers on: Open Responses, open-responses, /v1/responses endpoint, multi-provider LLM API, Open Responses compliance.
Use this skill when governing an AI agent's tool calls with a plain-English policy on Google's Gemini Enterprise Agent Platform, using Semantic Governance Policies (SGP). Covers deploying an ADK agent to Agent Runtime behind the Agent Gateway with agent identity, standing up the SGP engine and the VPC network path (PSC endpoint, network attachment, DNS peering), wiring the authz extension and policy, and creating a natural-language constraint that returns ALLOW or DENY on each proposed tool call. Tools, ADK (google-adk), vertexai agent_engines, gcloud network-services / compute / ai, Semantic Governance Policies.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.