content-factory

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.

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Install skill "content-factory" with this command: npx skills add aaaaqwq/claude-code-skills/aaaaqwq-claude-code-skills-content-factory

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.py10+平台热点采集curl, python3
scripts/topic_scorer.pyAI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 TrendingAPI开源项目
RedditAPI讨论/新闻
YouTubeAPI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/XSyndicationKOL动态
LinuxDoAPI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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