Read a list of ingredients on hand, pick three dishes out of a 322-recipe Chinese home-cooking corpus that use as many of them as possible, write the dish names into cuisine.json, and write everything still missing into a shopping.csv.
Using the ingredients currently available (listed in the ingredients.csv file in the workspace), please recommend 3 dishes — you may optionally include soup as one of them — by querying the "howtocook" MCP server. Ensure that the selected dishes use as many of our current ingredients as possible, with at least half of the ingredient types coming from our existing stock. Populate the cuisine.json file with the results, strictly following its existing format, and ensure that the dish names are in Chinese, exactly as retrieved from the MCP server. The ingredient amounts for each dish must strictly match the values returned by the MCP server. After selecting the dishes, list any ingredients that are insufficient or missing in order to fully prepare them, and compile these into a shopping list. Save the shopping list as a new file named shopping.csv in the workspace, containing exactly two columns: "Name" and "Quantity".
VFS.md
---name: workspace-filesystemdescription: The virtual filesystem layout of this workspace.---# Virtual FilesystemYou work in a terminal over a virtual filesystem. Read files with shellcommands; service operations are listed in SKILL.md.| Path | Description ||---|---||`/workspace`| Agent workspace; current directory and home (`~`). ||`/tmp`| Temporary files. ||`/dev`| Device files: `null` and `zero` (mounted automatically). |
name
workspace-filesystem
description
The virtual filesystem layout of this workspace.
Virtual Filesystem
You work in a terminal over a virtual filesystem. Read files with shell commands; service operations are listed in SKILL.md.
Path
Description
/workspace
Agent workspace; current directory and home (~).
/tmp
Temporary files.
/dev
Device files: null and zero (mounted automatically).
SKILL.md
---name: workspace-commandsdescription: The shell commands and task tools available in this workspace.---# Available commandsPython (`python` or `python3`), Perl, JavaScript/Node.js, and TypeScriptruntimes are unavailable. Use the shell commands and task CLIs documentedbelow; do not probe for or attempt to install other runtimes.Standard Unix commands, among them: cat head tail ls find grep wc sort uniq cut tr sed awk diff tee xargs jq unzipwith pipes, `>` redirection, `$(...)` substitution and `$'...'`.The task CLIs below are registered with this shell rather than installedas files; do not inspect them with `which`, `file` or `/usr/bin`.## howtocookUse `howtocook <command> '<JSON arguments>'`. Run`howtocook <command> --help` to get more information.| Command | Arguments | Description ||---|---|---||`howtocook getAllRecipes`|`{no_param?: str}`| 获取所有菜谱 — `no_param`: 无参数 ||`howtocook getRecipesByCategory`| `{category: "水产" \| "早餐" \| "调料" \| "甜品" \| "饮品" \| "荤菜" \| "半成品加工" \| "汤" \| "主食" \| "素菜"}` | 根据分类查询菜谱，可选分类有: 水产, 早餐, 调料, 甜品, 饮品, 荤菜, 半成品加工, 汤, 主食, 素菜 — `category`: 菜谱分类名称，如水产、早餐、荤菜、主食等 ||`howtocook recommendMeals`|`{allergies?: list[str], avoidItems?: list[str], peopleCount: int}`| 根据用户的忌口、过敏原、人数智能推荐菜谱，创建一周的膳食计划以及大致的购物清单 — `allergies`: 过敏原列表，如["大蒜", "虾"]; `avoidItems`: 忌口食材列表，如["葱", "姜"]; `peopleCount`: 用餐人数，1-10之间的整数 ||`howtocook whatToEat`|`{peopleCount: int}`| 不知道吃什么？根据人数直接推荐适合的菜品组合 — `peopleCount`: 用餐人数，1-10之间的整数，会根据人数推荐合适数量的菜品 ||`howtocook getRecipeById`|`{query: str}`| 根据菜谱名称或ID查询指定菜谱的完整详情，包括食材、步骤等 — `query`: 菜谱名称或ID，支持模糊匹配菜谱名称 |
name
workspace-commands
description
The shell commands and task tools available in this workspace.
Available commands
Python (python or python3), Perl, JavaScript/Node.js, and TypeScript runtimes are unavailable. Use the shell commands and task CLIs documented below; do not probe for or attempt to install other runtimes.
Standard Unix commands, among them:
cat head tail ls find grep wc sort uniq cut tr sed awkdiff tee xargs jq unzip
with pipes, > redirection, $(...) substitution and $'...'.
The task CLIs below are registered with this shell rather than installed as files; do not inspect them with which, file or /usr/bin.
howtocook
Use howtocook <command> '<JSON arguments>'. Run howtocook <command> --help to get more information.