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Tiktok Upload

CommunityPopular
dreammis
tiktok-upload

使用仓库现有 Patchright/Playwright Chrome 上传器登录并发布 TikTok 视频。Use when 用户要发布 TikTok 视频,且当前环境可访问本仓库及其本地 Chrome 配置。

Overview

Publisherdreammis
Repositorysocial-auto-upload
Skill nametiktok-upload
Stars
15.7K
Forks
2.7K
Bundled files
Instructions only
LicenseMIT-0
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Tiktok Upload 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.
    https://github.com/dreammis/social-auto-upload/tree/main/skills/tiktok-upload
  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/dreammis/social-auto-upload.git /tmp/social-auto-upload
mkdir -p .claude/skills
cp -r /tmp/social-auto-upload/skills/tiktok-upload .claude/skills/tiktok-upload
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tiktok Upload 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 Tiktok Upload 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 Tiktok Upload 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.

TikTok 视频发布

TikTok 当前没有 sau tiktok 命令。使用仓库的 uploader/tk_uploader/main_chrome.py,不能虚构 CLI 参数。运行前确认仓库依赖、conf.py 中的 Chrome 配置及用户提供的视频路径。

账号会话存放在 cookies/tk_uploader/account.json。首次登录可参考 examples/get_tk_cookie.py,在 TikTok 页面由用户本人完成登录。不要读取、复制或提交 cookie 文件。

单条视频优先按下面的仓库 API 流程执行,先用 publish_date=0 表示立即发布:

python
import asyncio
from pathlib import Path
from conf import BASE_DIR
from uploader.tk_uploader.main_chrome import TiktokVideo, tiktok_setup

account_file = Path(BASE_DIR) / "cookies" / "tk_uploader" / "account.json"
video_file = Path(BASE_DIR) / "videos" / "demo.mp4"
asyncio.run(tiktok_setup(str(account_file), handle=True))
app = TiktokVideo("标题", str(video_file), ["标签"], 0, str(account_file))
asyncio.run(app.main())

TiktokVideo 没有独立简介参数。定时发布需传入明确的 datetime,不要自行推算时间。仓库中的 examples/upload_video_to_tiktok.py 会批量处理目录下的 MP4、自动从文件提取标题/标签,并安排次日 16:00 发布;除非用户明确要求这些行为,不要直接运行该脚本。

每次发布前让用户确认账号、单条视频、标题、标签及立即/定时方式。页面布局或登录状态不符合预期时停止并报告;只有平台页面确认提交后才报告成功,未知结果先核查 TikTok Studio,不能直接重发。

Frequently asked questions

What does the Tiktok Upload AI skill do?

使用仓库现有 Patchright/Playwright Chrome 上传器登录并发布 TikTok 视频。Use when 用户要发布 TikTok 视频,且当前环境可访问本仓库及其本地 Chrome 配置。

Why use Tiktok Upload on TypingMind?

Because you install it once and use it with any model. Tiktok Upload 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 Tiktok Upload in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dreammis/social-auto-upload/tree/main/skills/tiktok-upload. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Tiktok Upload?

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 Tiktok Upload?

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

Is the Tiktok Upload AI skill free?

Yes. It is published on GitHub by dreammis under the MIT-0 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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