article-list-processor
读取包含文章列表的 Markdown 文件，自动抓取原文内容并生成爆款文案。
Best use case
article-list-processor is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. 读取包含文章列表的 Markdown 文件，自动抓取原文内容并生成爆款文案。
读取包含文章列表的 Markdown 文件，自动抓取原文内容并生成爆款文案。
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "article-list-processor" skill to help with this workflow task. Context: 读取包含文章列表的 Markdown 文件，自动抓取原文内容并生成爆款文案。
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/article-list-processor/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How article-list-processor Compares
| Feature / Agent | article-list-processor | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
读取包含文章列表的 Markdown 文件，自动抓取原文内容并生成爆款文案。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Article List Processor Skill 这个 Skill 专门用于处理“文章列表”。你只需要提供一个包含多个文章标题和链接的 Markdown 文件，它就会自动遍历列表，逐个抓取网页内容，并应用 Defou x Stanley 工作流进行重写。 ## 功能描述 1. **Parse List**: 读取 `defou-workflow-agent/local_inputs/` 下的 Markdown 文件，解析出所有的 `[标题](链接)`。 2. **Fetch Content**: 使用爬虫技术（Readability）自动抓取目标链接的正文内容。 3. **Generate**: 使用 Defou x Stanley 风格重写每一篇文章。 4. **Save**: 将每篇文章的重写结果单独保存为文件。 ## 使用场景 当你收集了一堆高质量的文章链接（比如从 Newsletter、Twitter 或 RSS 收集的），想要批量把它们转化为自己的爆款内容时，使用此 Skill。 ## 使用方法 ### 1. 准备清单文件 在 `defou-workflow-agent/local_inputs/` 下创建一个文件（例如 `reading_list.md`），内容格式如下： ```markdown # 我的今日阅读清单 1. [为什么年轻人不爱存钱了？](https://example.com/article1) 2. [如何通过 AI 提高效率](https://example.com/article2) - [DeepSeek 深度解析](https://example.com/article3) ``` ### 2. 启动全自动监听 ```bash npm run skill:list ``` 终端将显示 `👀 Watching directory: ...`，此时程序进入后台监听状态。 ### 3. 投放任务 将你的清单文件（如 `links.md`）直接拖入 `defou-workflow-agent/local_inputs/` 文件夹。 ### 4. 自动执行 系统将自动触发以下流程： 1. **检测**: 发现新文件 `links.md`。 2. **抓取 & 生成**: 遍历链接，抓取正文，生成 Defou/Stanley 风格初稿。 3. **验证 (Verify)**: 初稿生成完毕后，**自动**启动 `skill:verify` 进行爆款要素验证和优化。 4. **归档**: 原文件被移入 `archive/`。 你只需要去 `outputs/viral-verified-posts/` 收取最终成品即可。
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