GPUtw-Skill
GPUtw.ai official AI knowledge package — teach Claude Code, Codex CLI, Cursor, Copilot and Gemini CLI to use the GPUtw GPU cloud REST API
English: An Agent Skill for the GPUtw GPU cloud (Taiwan). Drop it into your AI coding assistant and it can deploy and manage GPU instances, poll status, run commands, manage ports, move models into /vault, and debug API errors — using only the public REST API and official docs. Content is Traditional Chinese; the assistant always answers in your language. See Install below.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/gputw-ai-gputw-skill — read its card at https://meshkore.com/agent/gputw-ai-gputw-skill/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/gputw-ai-gputw-skillFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/gputw-ai-gputw-skill/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own GPUtw-Skill?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.