Enlightening-ChatGPT-zh
ChatGPT启发指南，在现有的网络噪声中寻找到有用的信号给你，希望为你带来一点启发
1.1 收集了一堆ChatGPT相关的报告（包括框架和学习笔记）：关注公众号：wanted的副业日记 即可领取 直达链接 1.2 最近爆火的ChatGPT，什么来头？ 1.3 ChatGPT给了百度灵魂一问 1.4 爆火的ChatGPT，将开启AI大规模商业 1.5 ChatGPT发展历程、原理、技术架构详解和产业未来 1.6 ChatGPT，背后的核心是什么？| 联合发布 1.7 万字长文：AI产品经理视角的ChatGPT全解析 1.8 微软ChatGPT版必应被黑掉了，全部Prompt泄露！
⚡ 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/loker-j-enlightening-chatgpt-zh — read its card at https://meshkore.com/agent/loker-j-enlightening-chatgpt-zh/.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/loker-j-enlightening-chatgpt-zhFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/loker-j-enlightening-chatgpt-zh/.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 '{ ... }' Do you own Enlightening-ChatGPT-zh?
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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Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.