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tiktok-to-mealie抖音到麦莉

Agent Skill

tiktok-to-mealie 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

7,663

周安装

307

GitHub Stars

公开资料未说明

下载量

2,481
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:tiktok-to-mealie(抖音到麦莉)
来源仓库:https://github.com/elyasuuuuu/tiktok-to-mealie
安装命令:
openclaw skills install tiktok-to-mealie
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 tiktok-to-mealie

简介

从TikTok食谱视频提取信息导入Mealie系统。

  • 自动重建结构化菜谱并支持语言本地化。tiktok-to-mealie 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 简化跨平台内容迁移与知识库建设流程。
  • 依赖视频清晰度与字幕准确性影响解析效果。
  • 原始视频若含版权音乐需自行替换合规音源。

SKILL.md

name
tiktok-to-mealie
description
Extract recipe information from TikTok links, reconstruct a clean recipe, localize it to the user's language when needed, and import it into Mealie. Use when a user sends a TikTok recipe link, asks to convert TikTok cooking content into a structured recipe, or wants a TikTok recipe turned into a usable Mealie entry.

TikTok to Mealie

Use this skill when the user wants to turn TikTok cooking content into a real recipe.

Read as needed:

  • references/workflow.md for the full extraction/import flow
  • references/mealie-api-notes.md for Mealie-side behavior
  • references/localization.md for translation/localization rules
  • references/failure-modes.md for when to stop instead of importing junk
  • references/output-templates.md for minimal reply behavior
  • references/configuration.md for Mealie URL/token configuration

Core behavior

  • Treat TikTok recipe extraction as reconstruction, not perfect scraping.
  • Prefer a clean, usable recipe over a literal but messy transcription.
  • Prefer execution over commentary when the user clearly wants import.
  • Keep user-facing output short.
  • If quality is too weak, fail cleanly instead of polluting Mealie.

Trigger patterns

Use this skill when the user:

  • sends a TikTok recipe link
  • asks to import a TikTok recipe into Mealie
  • asks to convert a short-form cooking video into a structured recipe
  • wants recipe extraction from TikTok cooking content

If a message is only a TikTok cooking link and the surrounding context suggests recipe import, treat it as an execution request.

Default flow

  1. Resolve the final TikTok URL.
  2. Extract as much useful text as possible from description, metadata, and visible structured clues.
  3. Reconstruct:

- title - description - ingredients - steps - times if reasonably inferable - servings if reasonably inferable - category/tags if useful

  1. Recover a cover image if available.
  2. Localize the recipe to the user's language if needed.
  3. Check import quality threshold.
  4. If good enough, create the recipe in Mealie.
  5. Upload image if available.
  6. Verify the created recipe before returning the final link.

Quality rules

  • Do not import vague junk just because a TikTok link exists.
  • Normalize ingredients and steps into an actually cookable recipe.
  • If some quantities are missing, use reasonable uncertainty wording instead of fake precision.
  • Prefer a coherent recipe with a few explicit assumptions over a broken half-parse.
  • If the user language is clear, localize the final recipe consistently.
  • Do not keep title, ingredients, and steps in mixed languages unless the user wants that.

Import threshold

Import only if:

  • the title is coherent
  • the ingredient list is reasonably usable
  • the instruction list is reasonably usable
  • the result is more reconstruction than guesswork

If these are not true, stop and explain briefly.

Mealie behavior

Before import, make sure a Mealie base URL and API token are configured. See references/configuration.md.

  • Prefer structured recipe creation endpoints when available.
  • Add source URL when possible.
  • Upload cover image when available.
  • Verify final recipe state before replying.
  • Return the final recipe link on success.
  • Do not assume user-specific hostnames, domains, or secret paths.

Output behavior

Use the minimal templates in references/output-templates.md.

Default rule:

  • success -> return the recipe link
  • weak extraction -> return a short failure reason
  • partial but salvageable extraction -> ask one short confirmation question only if necessary

Style

  • practical
  • concise
  • execution-focused
  • avoid overexplaining
  • optimize for a recipe someone can actually cook

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

80.91%
按下载量换算2,007

安全审计

VirusTotal

通过

ClawScan

可疑

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

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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