Beginner score
30/100
Competition workspace
适合已有 LLM Agent 原型或工程开发经验的个人、学生、研究人员和企业开发者；可按赛题选择具备 AgentScope 狼人杀智能体、Spring AI Alibaba 数据智能体、代码生成 Agent，或 PC GUI 自动化背景的人。参赛者还应能准备可运行的源代码、方案文档，并接受团队或个人参赛形式。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
30/100
Learning value
60/100
Estimated effort
24-80 hours
Metric
Official scoring is published on the Op…
适合已有 LLM Agent 原型或工程开发经验的个人、学生、研究人员和企业开发者；可按赛题选择具备 AgentScope 狼人杀智能体、Spring AI Alibaba 数据智能体、代码生成 Agent，或 PC GUI 自动化背景的人。参赛者还应能准备可运行的源代码、方案文档，并接受团队或个人参赛形式。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
LLM Agent 架构设计
Python 开发
RAG 与向量检索
NL2SQL
多模态文档处理
Git 开源协作
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点不仅是做出一个 Agent，而是把它做成可运行、可复现且有理论依据的工程作品：评审同时看架构、代码质量、性能验证和路演，获奖作品还需按要求开源。狼人杀赛题尤其要求在连续多局状态下学习，并满足固定模型、接口、限时发言和文件结构等约束。
This guide is the best pre-read if you want a cleaner start instead of trial-and-error.
How to learn feature engineering, validation, and competition workflow without heavy hardware.
No GPU? Pick Competitions That Still Teach You Good HabitsUse these fields to make a quick decision before you dive deeper.
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Rules, files, submission details, and the live deadline still come from the official page.
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Official metric is not published on the OpenAtom competition listing; verify scoring on the competition page.
reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize text.