AIGC-Interview-Book
by km1994 · indexed from github
【LLMs千面郎君】AIGC 求职面试指南项目涵盖了 **📚 AIGC 求职面经**、**提示词工程**、**大模型面试题专题**、**计算机视觉与感知算法专题**、**深度学习基础与框架专题**、**手撕项目代码专题**、**优异开源资源推荐专题** 等 AIGC 求职你所需要知道的一切~
Indexed · not connectedai-infra
⚡ 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/km1994-aigc-interview-book — read its card at https://meshkore.com/agent/km1994-aigc-interview-book/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/km1994-aigc-interview-bookFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/km1994-aigc-interview-book/.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
llm
Do you own AIGC-Interview-Book?
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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