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Socket Threat Intel Now Shows Which Malware Campaigns Were Blocked or Detected
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One-person content studio powered by AI — from trending topics to published posts.
English | 中文
AutoCrew is an AI-powered content operations pipeline for Chinese social media. It handles the entire workflow — research trending topics, write platform-native drafts, review for sensitivity and AI-sounding language, and publish to Xiaohongshu, Douyin, WeChat, and more.
Works standalone as a CLI, or as a plugin for Claude Code and OpenClaw.
You: Find me topics for this week
AutoCrew: (searches trending lists + scores by your niche → recommends 5 topics)
You: Write #2 as a Xiaohongshu post
AutoCrew: (generates draft in your voice → checks for sensitive words → outputs title options + hashtags)
You: Too AI-sounding, make it more conversational
AutoCrew: (de-AI pass → remembers your preference → applies automatically next time)
You: Publish
AutoCrew: (6-point pre-publish check → publishes)
npm install -g autocrew
autocrew init
autocrew research
That's it. init creates your local data directory (~/.autocrew/), and research finds trending topics based on public sources (Zhihu, Weibo, industry keywords).
AutoCrew runs entirely on your machine. All content, drafts, and creator profiles are stored locally in ~/.autocrew/. No data is uploaded anywhere.
The core is a standalone Node.js CLI with 20+ tools and 15+ skills. A thin plugin layer lets it work as a Claude Code MCP server or OpenClaw extension — but it doesn't depend on either.
~/.autocrew/
├── creator-profile.json # Your niche, audience, writing rules
├── STYLE.md # Writing voice profile
├── topics/ # Topic library
├── contents/ # Content projects
│ └── content-xxx/
│ ├── meta.json # Metadata + status + asset index
│ ├── draft.md # Current draft
│ ├── timeline.json # Video timeline (if generated)
│ └── versions/ # Version history
└── learnings/ # Edit history + distilled rules
Add AutoCrew as an MCP server in your Claude Code settings:
{
"mcpServers": {
"autocrew": {
"command": "npx",
"args": ["tsx", "/path/to/AutoCrew/mcp/server.ts"]
}
}
}
Then just talk to Claude naturally — "find me topics", "write this as a post", "make it less AI-sounding".
openclaw plugins install autocrew
Works out of the box. All skills and tools are available in OpenClaw conversations.
| Command | Description |
|---|---|
autocrew init | Initialize data directory and creator profile |
autocrew status | Pipeline overview |
autocrew research | Discover trending topics |
autocrew topics | List saved topics |
autocrew start <topic> | Start a new content project |
autocrew contents | List content items |
autocrew humanize <id> | De-AI pass on a draft |
autocrew adapt <id> <platform> | Platform-native rewrite |
autocrew review <id> | Content review (sensitivity + quality) |
autocrew pre-publish <id> | 6-point pre-publish checklist |
autocrew profile | Show creator profile |
autocrew learn <id> --signal edit --feedback "too formal" | Capture feedback |
autocrew intel | Manage inspiration sources |
Run autocrew --help for the full command list.
| Feature | Free | Pro |
|---|---|---|
| Topic research | Public search (Zhihu/Weibo) | + Competitor crawling + platform hot lists |
| Content writing | Full workflow | Full workflow |
| De-AI-ification | Yes | Yes |
| Sensitive word scan | Yes | Yes |
| Platform rewrite | Xiaohongshu + Douyin | + WeChat + Bilibili |
| Cover generation | 3:4 | + 16:9 + 4:3 |
| Publishing | Xiaohongshu + Douyin | All platforms |
| Style calibration | Yes | Yes |
| Learning loop | Yes | Yes |
| Competitor monitoring | No | Yes |
| Video ASR extraction | No | Yes |
| Analytics reports | No | Yes |
git clone https://github.com/alextangson/AutoCrew.git
cd AutoCrew
npm install
npm test # 341 tests
Start the web dashboard in dev mode:
cd web && npm run dev
See CONTRIBUTING.md for guidelines.
MIT © alextangson
FAQs
One-person content studio powered by AI — from trending topics to published posts
The npm package autocrew receives a total of 0 weekly downloads. As such, autocrew popularity was classified as not popular.
We found that autocrew demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.

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