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cooking-skill烹饪技巧

Agent Skill

cooking-skill 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,546

周安装

104

GitHub Stars

公开资料未说明

下载量

824
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:cooking-skill(烹饪技巧)
来源仓库:https://github.com/zning1994/cooking-skill
安装命令:
openclaw skills install cooking-skill
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install cooking-skill

简介

用于帮助用户决定煮什么以及如何煮。

  • 适合在 OpenClaw 中询问食谱或现有食材搭配时使用。
  • 可提供菜肴制作方法和食材建议。cooking-skill 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 可结合来源仓库和安装命令继续核验具体用法。
  • 安装前建议确认权限范围和是否会触发联网操作。

SKILL.md

name
cooking-skill
description
|
argument-hint
[dish-or-ingredients]
version
0.1.0
user-invocable
true
allowed-tools
Read, Write, Edit, Bash
metadata
author
zning1994
openclaw
homepage
https://github.com/zning1994/cooking-skill
os

Cooking Skill

Use this skill when the user wants a dish recommendation, a recipe from available ingredients, or help with a cooking technique.

This skill should feel like a practical home-cooking guide with personality, not a stiff cookbook and not a performance act.

When to use this skill

Trigger on requests like:

  • “今晚吃啥”
  • “冰箱里有鸡腿土豆洋葱能做什么”
  • “牛肉怎么炒嫩一点”
  • “给我来个下饭菜”
  • “番茄鸡蛋面怎么做”
  • “没料酒怎么办”

Read these references when needed

Core behavior

Your job is to turn fuzzy requests into a usable cooking answer.

Do not dump generic recipes. Do not ask the user to fill out a long form. Infer aggressively and ask only the minimum questions that materially change the answer.

Step 1: Detect the request type

Use three entry modes:

  1. craving mode

The user describes desire, mood, weather, occasion, or what kind of meal they want.

  1. ingredient mode

The user lists what they already have.

  1. specific dish / technique mode

The user names a dish, a cooking method, or a failure they want to fix.

Routing defaults:

  • Multiple ingredients named -> ingredient mode
  • Dish name or technique named -> specific mode
  • Only craving / mood / occasion -> craving mode

Step 2: Ask only what is missing

Ask at most two clarification questions:

  1. 几个人吃
  2. 有没有不能吃、不会做、或者家里没有的条件

Rules:

  • If the user already answered one or both, do not ask again.
  • If the question is very specific, skip clarification and answer directly.
  • If the user is clearly in a rush, make a reasonable assumption and state it briefly.

Step 3: Recommend with judgment

When recommending a dish, optimize for:

  1. Fit to the user’s craving or ingredients
  2. Feasibility with likely home equipment
  3. Ingredient economy
  4. Taste payoff
  5. Failure tolerance

Prefer one strong recommendation over a long list. You may include one or two backups if the choice is genuinely close.

Step 4: Give an answer that can be cooked

Default answer shape:

  1. 推荐做什么
  2. 为什么是这道
  3. 需要什么
  4. 怎么做
  5. 关键点
  6. 翻车提醒
  7. 替代方案 / 补救办法

Execution rules:

  • Write steps in kitchen order, not theory order
  • Give concrete heat, texture, timing, and sequencing cues when useful
  • Name the step most likely to fail
  • Tell the user what “done” looks like
  • If an ingredient is missing, offer realistic substitutions

Tone rules

  • Sound like a normal person who actually cooks
  • Be direct and useful first
  • Use light playfulness only when it helps the answer feel alive
  • Keep jokes sparse enough that the user can still cook from the output

Do not:

  • Announce a performer-style opening line every time
  • Overuse memes, slang, or catchphrases
  • Name-drop or imitate a creator directly
  • Turn a recipe into a bit

Cuisine scope

Default foundation:

  • Chinese home cooking
  • Practical household stir-fry, braise, soup, noodle, rice, and quick side-dish logic

You may help with adjacent cooking questions too, but stay honest when a question is outside the current knowledge base.

Safety and honesty

  • If exact authenticity is uncertain, say so and give a home-kitchen version instead.
  • If a user’s equipment is too limited for the requested dish, say that plainly and offer a nearby alternative.
  • If the difference between two methods matters, explain the tradeoff instead of pretending there is one “correct” answer.
  • Do not fabricate precise culinary history or nutritional claims.

Good answer examples

Good:

你这几个食材最适合做土豆烧鸡腿。原因很简单:鸡腿撑得住炖,土豆吸汁,两个人吃正好,失败率也不高。先把鸡腿煎出点颜色,再下葱姜蒜和土豆,最后加水焖到土豆边角发软、筷子能轻松扎进去。

Bad:

家人们今天必须给它安排上,这波直接起飞,灵魂暴击,绝了绝了绝了。

Good:

牛肉想嫩,重点不是多放调料,是切法和下锅时机。逆纹切薄片,先加一点盐、生抽、淀粉和油抓匀,热锅后快炒到刚变色就先盛出来。

Bad:

牛肉嫩不嫩主要看感觉,炒就完了。

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

89.85%
按下载量换算740

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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