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mealmasterymealmastery 搜索

Agent Skill

mealmastery 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

4,819

周安装

207

GitHub Stars

1

下载量

1,689
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:mealmastery(mealmastery 搜索)
来源仓库:https://github.com/rooster-cogburn77/mealmastery
安装命令:
openclaw skills install mealmastery
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 mealmastery

简介

利用AI对话式交互进行膳食计划、食谱管理和购物清单生成。

  • 适用于OpenClaw中个性化饮食建议与厨房效率提升场景。
  • 支持语音或文本输入的自然语言理解与响应式建议输出。
  • 安装命令:openclaw skills install mealmastery
  • 注意方言识别准确率与特殊饮食需求的支持程度

SKILL.md

name
mealmastery
description
Plan meals, manage recipes, and build grocery lists with AI through natural language conversation.
version
1.0.1
homepage
https://www.mealmastery.ai
changelog
v1.0.1: Fix GitHub repository URL to point to public repo (MealMasteryAI/mcp-server). No functional changes.
metadata
openclaw
emoji
🍽️
primaryEnv
MEALMASTERY_API_KEY
os
requires
env
bins
install
package
@mealmastery/mcp-server

MealMastery

AI-powered meal planning, recipe management, and grocery list generation. Generate a personalized weekly meal plan, save your favorites, build a consolidated grocery list, and send it to Instacart or Kroger -- all through conversation.

Setup

  1. Create a free account at mealmastery.ai
  2. Go to Settings > Developer API and create an API key
  3. Set the key in your environment:
export MEALMASTERY_API_KEY="mm_live_..."

MCP server configuration (~/.openclaw/config.json):

{
  "mcpServers": {
    "mealmastery": {
      "command": "npx",
      "args": ["-y", "@mealmastery/mcp-server"],
      "env": {
        "MEALMASTERY_API_KEY": "${MEALMASTERY_API_KEY}"
      }
    }
  }
}

Verify the connection works by asking: *"What are my meal planning preferences?"*

Tools (24)

Meal Planning (7 tools)

generate_meal_plan get_latest_meal_plan get_meal_plan list_meal_plans regenerate_meal generate_and_add_meal remove_meal

Recipes (7 tools)

search_recipes get_recipe save_meal_as_recipe get_favorite_recipes favorite_meal get_meal_ratings get_all_ratings

Grocery Lists (4 tools)

generate_grocery_list get_grocery_list list_grocery_lists update_grocery_items

User & Checkout (6 tools)

get_user_context get_user_preferences update_user_preferences get_subscription_status get_checkout_providers checkout_grocery_list

Resources (3)

Read-only context that agents can fetch without using a tool call.

URIDescription
mealmastery://meal-plan/currentLatest meal plan with all meals, nutrition, and recipes
mealmastery://user/preferencesDietary preferences, allergies, cooking skill, favorites
mealmastery://grocery-list/currentGrocery list for the current meal plan

Prompt Templates (4)

Pre-built workflow starters for common multi-step tasks.

PromptParametersDescription
weekly-meal-prepfocus?, days?Full week planning: preferences, generate, review, grocery list, checkout
swap-mealreason?Replace a specific meal in the current plan
order-groceriesprovider?Preview and send grocery list to Instacart or Kroger
quick-dinnermax_minutes?, ingredients?Single quick meal idea with time/ingredient constraints

Streaming

generate_meal_plan supports MCP progress notifications. Clients that send a progressToken receive real-time updates (0-100%) during AI generation via the SSE streaming endpoint. Clients without progress support fall back to the standard blocking endpoint.

Example Workflows

Weekly meal prep:

"Generate a healthy meal plan for 2 people, Mediterranean style, max 30 minutes prep. Then create the grocery list."

Uses: get_user_context -> generate_meal_plan -> generate_grocery_list

Swap a meal:

"Replace Wednesday's dinner with something Thai."

Uses: get_latest_meal_plan -> regenerate_meal

Order groceries:

"Send my grocery list to Instacart."

Uses: checkout_grocery_list (dry_run=true first, then with confirmation)

Guardrails

  • Checkout safety. Always call checkout_grocery_list with dry_run=true first and show the preview. Only execute the real checkout after explicit user confirmation. This adds items to a real shopping cart.
  • Preference changes. Confirm with the user before calling update_user_preferences for dietary restrictions or allergies. These affect all future meal plans.
  • Destructive operations. remove_meal permanently deletes a meal from a plan. Confirm before calling.
  • Rate limits. Meal plan generation counts against the user's subscription quota. Check get_subscription_status if the user is on a free tier before generating.
  • AI generation time. generate_meal_plan takes 30-60 seconds. regenerate_meal and generate_and_add_meal take 15-30 seconds. Inform the user these operations are running.
  • Daily quotas. Free tier: 1,000 requests/day. Paid tier: 10,000 requests/day. Quota info is available after token exchange.

Publisher

MealMastery Inc. -- mealmastery.ai | GitHub | Support

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

95.34%
按下载量换算1,610

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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