yzg1226/mcd-party-officer
🍟 麦当劳门店派对成团调度 Skill — 把派对从「策划」推进到「办得成」:成团概率雷达 / 包场vs拼团 / 择日黄历 / 儿童营养指数 / 招募卡与邀请函
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README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
麦当劳门店派对最怕的不是贵,是凑不齐人。 一句话问出去,回来一张「这场到底办得成吗」的确定性答案。 [](https://yzg1226.github.io/mcd-party-officer/) [](MCPINTEGRATION.md) [](SKILL.md) [](#四使用示例) [](#三快速开始) [](LICENSE) 别人帮你策划一场派对;我们帮你把人凑齐、把场锁定、把日子挑对、把人喊来。 它会自己确认城市、扫场次、算成团概率,最后把决策摆在你面前。 第一次使用时按提示到 登录 → 控制台 → 激活 → 复制 Token,粘进对话即可。 Token 只写进你本机的环境变量或 WorkBuddy 配置,不进仓库、不进日志、不在回复里回显。 派对赛道已有两类做法,都很不错,但都停在下单之前: 差异不在功能多少,而在是否回答了那个真正会导致派对泡汤的问题: 「未成团自动退款」这条规则,只有先发现它,才会意识到真问题是凑人而不是策划——这就是本项目的立足点。 工具产出数字容易,产出能传播的内容难。派对是麦当劳场景里唯一自带"发出去"动作的品类: 麦当劳门店派对的官方规则里有两条硬约束,它们决定了这个场景真正的难点: 于是用户在真实场景里会连续撞上四个问题: 五维成团调度评分:成团可行性(硬约束)→ 余位紧张度 → 时段匹配 → 价格 → 距离,输出三个视图:推荐 Top N / 最易成团 /…
Read the full README ↗ · Preview checked 2026-10-29T10:35:48.039Z
Inside the original README — Document outline
- 🍟 派对拼团官 · McParty Officer
- 🎬 先看效果:在线演示(免安装、免 Token)
- 🚀 三步开吃
- 第 1 步 · 把这段话整段发给 WorkBuddy(不用碰命令行)
- 第 2 步 · 对它说一句话
- 第 3 步 · 贴一次 Token,以后一直免配置
- 📖 目录
- 30 秒看懂:它和别的派对 Skill 差在哪
- 两个能直接发出去的产出物
- 一、痛点:派对最容易死在"凑不齐人"
- 二、本项目解决什么
- 四个决策
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What this repository does
🍟 麦当劳门店派对成团调度 Skill — 把派对从「策划」推进到「办得成」:成团概率雷达 / 包场vs拼团 / 择日黄历 / 儿童营养指数 / 招募卡与邀请函
Repository facts
- Owner
- yzg1226
- Primary language
- Python
- Stars
- 244
- Forks
- 7
- Open issues + pull requests
- 0
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2026-10-09T14:20:03.000Z
- Last push
- 2026-10-10T21:56:36.000Z
Topics and intended use
Owner-supplied topics: agent-skill, mcdonalds, mcp, mcp-server, party, python, workbuddy
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-10-16T12:08:52.409Z. Daily imports are snapshots, not real-time monitoring.
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