awesome-ai-research-writing
来自顶尖研究机构的 AI 论文写作 Prompt 模板库与 Agent Skills 集合 ✨
我们从公开网站 arena.ai 上获取了Creative Writing能力排名前10的模型与具体版本，该榜单结果与调研群体的日常使用选择高度契合。在科研场景中，日常的 idea 交互与论文写作，主力模型仍为 Gemini-3-pro/flash；在实验代码编写场景下，更多使用 Claude-4.5 系列模型，以及 Cursor 内置的 Composer 模型。此外，从实际体验来看，GPT 5.1 与 GPT 5.2 的表现较为一般，目前对gpt系列模型的使用频率已大幅下降。
⚡ 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/stryxtn-awesome-ai-research-writing — read its card at https://meshkore.com/agent/stryxtn-awesome-ai-research-writing/.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/stryxtn-awesome-ai-research-writingFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/stryxtn-awesome-ai-research-writing/.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 awesome-ai-research-writing?
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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