greennode-agentbase

Deploy and operate AI agents on GreenNode AgentBase. Supports two resource types: Custom Agent (user-built Docker image, /agent-runtimes) and OpenClaw (platform templates for Telegram/Zalo bots, /openclaws). Part 1 — Deploy Custom Agent (build, push, create/update runtime in PUBLIC or VPC mode). Trigger: deploy my agent, ship it, redeploy, deploy in VPC. Part 2 — Custom Agent runtime management (endpoints, scaling, versions, network mode). Trigger: list runtimes, scale, delete runtime, list flavors. Part 3 — OpenClaw (Telegram/Zalo bot templates). Trigger: deploy a Telegram bot, deploy a Zalo bot, create/list/start/stop OpenClaw, switch OpenClaw version. Part 4 — Container Registry (managed Docker repo, credentials, images, artifacts). Trigger: get repo info, docker login, push image, list/delete images. DO NOT use for non-AI-agent apps. For logs/metrics use /agentbase-monitor.

Manage GreenNode AgentBase Resource Gateway (MCP) — a managed proxy in front of user MCP servers with inbound auth, per-target outbound auth, and policy enforcement. Trigger: create/list/update/delete a gateway, register an MCP target, configure inbound auth (NONE/IAM/JWT) or per-target outbound auth (APIKEY/OAUTH, each with 2LO or 3LO flow), change VPC routes, bind a Policy Group. DO NOT use for agent runtimes (/agentbase-deploy) or for authoring policy rules (/agentbase-policy).

Register agent identities and manage outbound authentication providers for AI agents. Covers CRUD for agent identities, storing API keys or secrets for external services (OpenAI, Google, Slack), OAuth2 providers, and delegated keys. When user mentions an external service name with API key or credentials, trigger this skill — not /agentbase-llm. DO NOT use for agent source code (use /agentbase-wizard), platform LLM API keys (use /agentbase-llm), agent memory (use /agentbase-memory), or runtime logs (use /agentbase-monitor).

Manage platform LLM model access and API keys for AI agents. Use when user wants to set up LLM access, get a platform API key, browse available models, choose which LLM to use, configure model access, check rate limits, or get an OpenAI-compatible endpoint. Trigger for which models are available, set up LLM, API key for the model, list models, LLM key, connect to LLM. When user says API key without specifying an external service name, default to this skill. DO NOT use for storing API keys for external services (OpenAI, Google, Slack) — use /agentbase-identity instead.

Add memory to AI agents — conversation history, semantic fact extraction, and long-term memory records. Covers creating memory stores, managing events/sessions, memory records, long-term memory strategies (SEMANTIC, USER_PREFERENCE, CUSTOM), and LangChain/LangGraph memory integration. DO NOT use for agent source code (use /agentbase-wizard), agent identity or outbound auth (use /agentbase-identity), platform LLM API keys (use /agentbase-llm), or runtime logs (use /agentbase-monitor).