multi-ai-chat-skill
Free multi-AI research assistant: your agent consults 6 top web AIs in parallel, cross-validates their answers, and generates an executable decision document. No API keys, no backend.
上下文控制：multi-ai-chat 每轮落盘 answers/ /manifest.json，列出每路 status / chars / preview（前 240 字符）——主 agent 先读 manifest 决定读哪些 raw/.md 全文，避免 7 份原文一次性灌入上下文。某路 ok:false 如实记录，禁止伪造。
⚡ 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/lainxxx-multi-ai-chat-skill — read its card at https://meshkore.com/agent/lainxxx-multi-ai-chat-skill/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/lainxxx-multi-ai-chat-skillFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/lainxxx-multi-ai-chat-skill/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own multi-ai-chat-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.
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