skills/content-factory/SKILL.md
Automated content production pipeline: hot topic aggregation from 10+ platforms (Bilibili, GitHub, Reddit, YouTube, Weibo, Zhihu, etc.), AI-powered topic scoring, multi-platform content generation (Xiaohongshu, WeChat, Twitter), draft review, and auto-publishing. Use when: user wants daily content pipeline, hot topic collection, content generation, article publishing, or content factory automation.
npx skillsauth add aaaaqwq/agi-super-team content-factoryInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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从热点采集到内容生成到多平台发布的全流程自动化。Daniel 每天只需 2 分钟挑选主题。
热点采集(10+平台) → AI选题评分 → 推送Top10给用户
↓
用户选择主题(或自定义)
↓
多平台内容生成(LLM)
↓
草稿审核 → 确认发布
↓
自动发布 → 数据追踪
✅ USE when:
❌ DON'T use when:
data/
├── hotpool/ # 每日热点池 (YYYY-MM-DD.json)
├── topics/ # 评分选题 (YYYY-MM-DD.json)
├── drafts/ # 生成草稿 (YYYY-MM-DD/)
├── reviewed/ # 审核通过
├── published/ # 已发布记录
├── config/ # 运行配置
│ └── sources.json # 采集源配置
├── templates/ # 平台模板
│ ├── xiaohongshu.md
│ ├── wechat.md
│ └── twitter.md
└── assets/ # 图片等素材
| 脚本 | 功能 | 依赖 |
|------|------|------|
| scripts/aggregator/fetch_all.py | 10+平台热点采集 | curl, python3 |
| scripts/topic_scorer.py | AI选题评分(Top10) | LLM API (DeepSeek/GLM) |
| scripts/content_generator.py | 多平台内容生成 | LLM API |
| scripts/draft_reviewer.py | 草稿审核推送 | Telegram API |
| scripts/auto_publisher.py | 自动发布 | playwright (optional) |
| scripts/topic_presenter.py | 选题卡片推送 | Telegram API |
| scripts/run_daily.sh | 全流程串联 | bash |
| scripts/paths.py | 路径配置(可移植) | - |
| 平台 | 方式 | 内容类型 | |------|------|---------| | B站热榜 | API | 视频/动态 | | GitHub Trending | API | 开源项目 | | Reddit | API | 讨论/新闻 | | YouTube | API | 视频 | | 微博热搜 | API | 社交热点 | | 知乎热榜 | API | 深度讨论 | | 头条 | API | 新闻资讯 | | 抖音 | API | 短视频 | | Twitter/X | Syndication | KOL动态 | | LinuxDo | API | 技术社区 |
cd ~/clawd/skills/content-factory
pip install -r requirements.txt
# 手动执行全流程
bash scripts/run_portable.sh
# 或分步执行
python3 scripts/aggregator/fetch_all.py # Step 1: 热点采集
python3 scripts/topic_scorer.py # Step 2: AI评分
python3 scripts/topic_presenter.py # Step 3: 推送选题
python3 scripts/content_generator.py --top 3 # Step 4: 内容生成
python3 scripts/draft_reviewer.py --all # Step 5: 草稿审核
# python3 scripts/auto_publisher.py # Step 6: 发布(需确认)
内容工厂可以通过 Ralph CEO Loop 进行持续迭代:
data/config/sources.json)可启用/禁用各平台,配置关注的账号、频道等。
评分和生成使用 OpenAI-compatible API:
LLM_API_KEY / LLM_BASE_URL 覆盖development
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