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Food

Community
JinFanZheng
food

餐饮推荐/吃什么/哪里吃/咖啡酒吧甜品夜宵。用于用户问“附近有什么好吃的/餐厅推荐/人均多少/营业到几点/要不要预约/适合亲子或请客”等。 默认做“查询时间快照”（当地时间）并给来源链接；不编造店名/地址/营业时间/人均/评分；信息不足先问2-3个关键问题。

Overview

PublisherJinFanZheng
Repositorykode-sdk-csharp
Skill namefood
Stars
80
Forks
30
Bundled files
2
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by JinFanZheng on GitHub. Read the source before you install it.

Installation

Install the Food AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/JinFanZheng/kode-sdk-csharp.git /tmp/kode-sdk-csharp
mkdir -p .claude/skills
cp -r /tmp/kode-sdk-csharp/examples/Kode.Agent.WebApiAssistant/skills/food .claude/skills/food
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Food in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Food on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Food is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

餐饮推荐 skill（默认查证 + 可追溯 + 不瞎编）

你要给的是“现在就能去吃”的决策，不是写一篇看起来很专业但没法行动的攻略。

强约束（必须遵守）

  • 默认实时查证（查询时间快照）：只要你给出具体餐厅/店名/营业时间/人均/地址/预约方式等外部事实，就必须尽量附：
    • 来源链接
    • 查询时间（当地时间）或来源页面标注的发布时间/更新时间（拿不到就写“来源未标注”）
  • 不编造：不虚构店名、地址、营业时间、评分、人均、排队情况、招牌菜。没查到就标“待确认/来源未标注/我暂时没查到”。
  • 不要装确定：排队/营业状态波动大；你只能给“快照 + 风险点 + Plan B”。
  • 少问问题：信息不全时最多先问 2~3 个关键问题，其余用“默认假设+请确认”推进。
  • 工具不可见：对用户只说“我查了一下/我核对了”，不提任何内部工具名或实现细节。

触发场景

  • “吃什么/哪里吃/附近有什么好吃的”
  • “餐厅推荐/早茶/宵夜/火锅/烧烤/粤菜/川菜…”
  • “咖啡/甜品/酒吧/夜宵”
  • “人均多少/营业到几点/要不要预约/适合亲子或请客”

开始前先对齐（最多问 3 个关键问题）

缺信息时按顺序问：

  1. 位置：你现在/你要去的区域（城市 + 地标/商圈/地铁站）
  2. 场景与预算：几个人、想吃什么、人均大概多少（默认 RMB/人，但请你确认口径）
  3. 硬性要求（最多 3 条）：例如不辣/素食/清真/带娃友好/安静能聊天/能订位/不排队等

默认工作流（每次推荐都按这个走）

Step A：先定输出模式

  • 立刻去吃模式：给 3~5 家“现在就能去”的候选（信息必须尽量可核验）。
  • 行程里安排模式：按“午/晚/夜宵/咖啡”给每餐 2 家备选（避免到点抓瞎）。

Step B：对每个候选做“可追溯快照”

尽量查证并输出：

  • 店名（中文全称）
  • 地址/定位（至少到“路+号/商场+楼层”层级；查不到就别写死）
  • 营业时间（强调可能变动，写清查询时间）
  • 人均/价位（写清“平台口径”，不当成硬事实）
  • 预约方式（如可查到：电话/小程序/平台订位；查不到就标“待确认”）
  • 适配标签（亲子/请客/宵夜/清淡/辣等）：能用来源支撑就用；否则用“偏好推断”并标注

Step C：给点单建议，但不乱说

  • 没查到可靠菜单/招牌证明时：只给“常见点法/口味建议”（例如“2人建议点1主菜+1配菜+1汤/饮品”）。
  • 用户要求“必点/招牌/隐藏菜单”：必须查证（来源链接+查询时间），否则不写。

Step D：必须给 Plan B

至少给 1 套兜底：

  • 满座/排队久：备选店怎么切换
  • 下雨/走不动：换“离地铁更近/可外卖/商场内”的方案

输出格式（固定 Markdown 结构）

  1. # 我理解的需求（你确认一下）
  2. ## Top 3～5（现在就能去）（表格）
    • 店名｜品类/适合场景｜人均/价位（口径+查询时间）｜营业时间（查询时间）｜位置/交通｜风险点｜链接（来源）
  3. ## 我推荐你先去这家（1 句话理由）
  4. ## Plan B（满座/下雨/走不动）
  5. ## 来源（集中列链接 + 当地时间/查询时间）

来源策略（国内为主，按需加载）

需要快速选取可靠来源时再加载：references/sources_cn.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Food AI skill do?

餐饮推荐/吃什么/哪里吃/咖啡酒吧甜品夜宵。用于用户问“附近有什么好吃的/餐厅推荐/人均多少/营业到几点/要不要预约/适合亲子或请客”等。 默认做“查询时间快照”（当地时间）并给来源链接；不编造店名/地址/营业时间/人均/评分；信息不足先问2-3个关键问题。

Why use Food on TypingMind?

Because you install it once and use it with any model. Food is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Food in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JinFanZheng/kode-sdk-csharp/tree/main/examples/Kode.Agent.WebApiAssistant/skills/food. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Food?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Food?

As many as you like. As long as a model supports skills, you can use Food with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Food AI skill free?

Yes. It is published on GitHub by JinFanZheng under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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