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Online Content Collector

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cafe3310
online-content-collector

对 Obsidian 仓库进行自动素材媒体剪藏，本地化特定 tag 标注的网页、视频及附件

Overview

Publishercafe3310
Repositorypublic-agent-skills
Skill nameonline-content-collector
Stars
256
Forks
30
Bundled files
18
LicenseApache-2.0
Links
Skill sourceRepository
  • 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.

  • 18 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cafe3310 on GitHub. Read the source before you install it.

Installation

Install the Online Content Collector 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/cafe3310/public-agent-skills/tree/main/skills/online-content-collector
  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/cafe3310/public-agent-skills.git /tmp/public-agent-skills
mkdir -p .claude/skills
cp -r /tmp/public-agent-skills/skills/online-content-collector .claude/skills/online-content-collector
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Online Content Collector 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 Online Content Collector 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 Online Content Collector 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.

技能：线上素材收集器 (Online Content Collector)

概述

此技能旨在实现从“发现链接”到“本地化存档”的完全自动化。它扫描 Obsidian 仓库中带有特定标签的链接，将其汇总并下载为包含文本、图片、视频及附件的完整本地 Markdown 存档。

核心配置解析

此技能依赖用户 Vault 根目录下的 AGENTS.md。Agent 在执行脚本前，必须首先读取此文件，并解析出以下路径：

  • 下载列表目录位于: 用于传递给 --list-dir。
  • 下载内容目录位于: 用于传递给 --archive-dir。

核心工作流

第一阶段：扫描与汇总 (Discovery & Aggregation)

  1. 配置读取: Agent 读取 AGENTS.md，确定目标路径。
  2. 执行脚本: 调用 scripts/collect_links.py，传入 --vault-path 和 --list-dir。
  3. 元数据提取与更新: 脚本扫描包含 #Marker-待下载 的文件，提取 time 和 source，生成 YAML 格式的任务列表 [yyyy-mm-dd-hh 下载列表整理.md]，并将原始文件标签更新为 #Marker-下载中-YYYYMMDD。

第二阶段：用户确认 (User Confirmation)

  1. 停止并检查: Agent 输出 YAML 列表文件路径，等待用户确认。

第三阶段：执行下载与剪藏 (Execution & Archival)

  1. 执行脚本: 调用 scripts/process_downloads.py，传入 --list-file 和 --archive-dir。
  2. 任务处理与分发:
    • YouTube / X (Twitter): 使用 yt-dlp 下载。请求最高画质，必须下载并保留全量 JSON 元数据（--write-info-json）。
    • 未知站点: 如果无法识别域名或未配置下载方式，则直接标记为“下载失败（未识别站点）”，不进行尝试。
  3. 隔离目录创建: 为每个下载任务创建独立目录，命名规范：[YYYY-MM-DD-HH] {分类} {描述/ID}。
  4. 内容本地化:
    • 主文档: 在目录下创建一个同名的 .md 文件。
    • 资产存放: 所有的 .mp4, .json, .jpg 等资产全部存放在该任务目录下。
    • 引用关联: Markdown 文件中使用本地相对路径链接同目录下的视频。

第四阶段：状态汇报与闭环 (Reporting & Closing)

  1. 列表回写: 脚本在 YAML 列表中更新状态为“下载完成”或“下载失败”。
  2. 标签同步: Agent 根据脚本输出，将原始文件中的链接标签更新为 #Marker-已下载-YYYYMMDD。

依赖工具

  • yt-dlp: 视频抓取。
  • MarkItDown / Pandoc: 网页转 Markdown。
  • ffmpeg: 视频合并。

最佳实践

  • 路径对齐: 始终从 agents.md 读取路径，不要硬编码。
  • 元数据保留: 在剪藏的 Markdown 头部记录原始 URL 和收集时间。
  • 异常容错: 下载失败时记录错误原因，不中断后续任务。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Online Content Collector AI skill do?

对 Obsidian 仓库进行自动素材媒体剪藏，本地化特定 tag 标注的网页、视频及附件

Why use Online Content Collector on TypingMind?

Because you install it once and use it with any model. Online Content Collector 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 Online Content Collector in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cafe3310/public-agent-skills/tree/main/skills/online-content-collector. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Online Content Collector?

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 Online Content Collector?

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

Is the Online Content Collector AI skill free?

Yes. It is published on GitHub by cafe3310 under the Apache-2.0 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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