aaaaqwq/content-factory
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.
$ install --global
skillsauthnpx skillsauth add aaaaqwq/claude-code-skills content-factoryInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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TrivyContainer and dependency vulnerability scanner
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SemgrepStatic code analysis for vulnerabilities
95%
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mcp-scan (Snyk)Model Context Protocol security validation
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Last scanned: Mar 26, 2026, 7:01 AM44.8s18 files scanned
SKILL.md
- name:
- content-factory
- description:
- 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.
- homepage:
- https://github.com/aAAaqwq/AGI-Super-Skills
- metadata:
- { "openclaw": { "emoji": "📰", "requires": { "bins": ["python3", "curl"], "python": ["httpx", "beautifulsoup4"] } } }
Content Factory — 内容自动生产分发工厂
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。
核心流程
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
使用场景
✅ USE when:
- "今日热点有什么" / "采集今天的热门话题"
- "帮我生成内容" / "写篇小红书文章"
- "选题评分" / "推荐今天该写什么"
- "发布到小红书/微信/Twitter"
- "运行内容工厂流水线" / "跑一遍完整流程"
- "看看今天的草稿" / "审核内容"
❌ DON'T use when:
- GEO优化（AI搜索排名）→ 用 geo-agent
- 纯SEO关键词优化 → 用 SEO 技能
- 单次写作（无流水线需求）→ 用 content-creator
数据目录
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
脚本说明
| 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) | - |
采集源 (10+)
| 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 |
安装依赖
cd ~/clawd/skills/content-factory
pip install -r requirements.txt
完整流水线
# 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)
与 Ralph CEO Loop 配合
内容工厂可以通过 Ralph CEO Loop 进行持续迭代：
- 小data: 热点采集 + 数据清洗
- 小research: 话题深度调研
- 小content: 内容生成 + 文案优化
- 小pm: 流程协调 + 质量验收
- 小market: 发布策略 + 渠道优化
配置
采集源配置 (data/config/sources.json)
可启用/禁用各平台，配置关注的账号、频道等。
LLM 配置
评分和生成使用 OpenAI-compatible API：
- 默认: DeepSeek (评分) + GLM-5 (生成)
- 通过环境变量
LLM_API_KEY/LLM_BASE_URL覆盖
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