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  "item": {
    "slug": "signal-pipeline",
    "name": "Signal Pipeline",
    "source": "tencent",
    "type": "skill",
    "category": "效率提升",
    "sourceUrl": "https://clawhub.ai/mephistophelesbits/signal-pipeline",
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    "extraction": "Extract archive",
    "prerequisites": [
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      "SKILL.md",
      "daily_signals.py",
      "newsletter_monitor.py",
      "requirements.txt",
      "rss_db.py"
    ],
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      "Extract the archive and review SKILL.md first.",
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          "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
        },
        {
          "label": "Upgrade existing",
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    "downloadPageUrl": "https://openagent3.xyz/downloads/signal-pipeline",
    "agentPageUrl": "https://openagent3.xyz/skills/signal-pipeline/agent",
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  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "Download the package from Yavira.",
      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
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  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Signal Pipeline",
        "body": "A marketing intelligence pipeline that aggregates signals from multiple sources, stores them in SQLite, and generates content for personal branding."
      },
      {
        "title": "What It Does",
        "body": "RSS feeds → SQLite database (rss_db.py)\nX/Twitter → SQLite database (x_monitor.py)\nTelegram channels → SQLite database (telegram_monitor.py)\nGmail newsletters → Signal extraction (newsletter_monitor.py)\nDaily signals → Draft posts\nWeekly synthesis → Theme analysis\nMonthly deep-dive → Essay/book chapter"
      },
      {
        "title": "Files Included",
        "body": "signal-pipeline/\n├── SKILL.md              # This file\n├── README.md             # Setup instructions\n├── requirements.txt      # Python dependencies\n├── daily_signals.py      # Main script (daily/weekly/monthly)\n├── rss_db.py           # RSS feed storage\n├── x_monitor.py        # X/Twitter monitoring\n├── telegram_monitor.py  # Telegram channel scraping\n└── newsletter_monitor.py # Gmail newsletter extraction"
      },
      {
        "title": "Quick Start",
        "body": "# Install dependencies\ncd skills/signal-pipeline\npip install -r requirements.txt\n\n# Run daily signals\npython daily_signals.py\n\n# Generate weekly summary\npython daily_signals.py --weekly\n\n# Generate monthly report\npython daily_signals.py --monthly"
      },
      {
        "title": "RSS Feeds",
        "body": "Edit rss_db.py to add your feed URLs:\n\nnew_feeds = [\n    ('Feed Name', 'https://example.com/feed.xml'),\n]"
      },
      {
        "title": "Telegram Channels",
        "body": "Edit telegram_monitor.py:\n\nCHANNELS = ['channel_name_1', 'channel_name_2']"
      },
      {
        "title": "X Accounts",
        "body": "Edit x_monitor.py:\n\nMONITOR_URLS = [\n    'https://x.com/username/status/123456789',\n]"
      },
      {
        "title": "Gmail Newsletters",
        "body": "The newsletter_monitor.py uses gog CLI. Ensure it's configured:\n\ngog gmail search 'newer_than:30d label:newsletter'"
      },
      {
        "title": "Requirements",
        "body": "Python 3.8+\nfeedparser>=6.0.0\nbeautifulsoup4>=4.12.0\nrequests>=2.31.0\nhttpx>=0.25.0"
      },
      {
        "title": "Database",
        "body": "Three SQLite databases are created:\n\nrss_db.db - RSS articles\nx_monitor.db - X/Twitter data\ntelegram_db.db - Telegram posts"
      },
      {
        "title": "Use Cases",
        "body": "Content Creation - Daily signals for X/LinkedIn posts\nMarket Research - Track industry trends\nCompetitive Intelligence - Monitor competitors\nPersonal Branding - Build content streak\nBook Writing - Compile monthly insights"
      },
      {
        "title": "Author",
        "body": "Open source - free to use and modify."
      }
    ],
    "body": "Signal Pipeline\n\nA marketing intelligence pipeline that aggregates signals from multiple sources, stores them in SQLite, and generates content for personal branding.\n\nWhat It Does\nRSS feeds → SQLite database (rss_db.py)\nX/Twitter → SQLite database (x_monitor.py)\nTelegram channels → SQLite database (telegram_monitor.py)\nGmail newsletters → Signal extraction (newsletter_monitor.py)\nDaily signals → Draft posts\nWeekly synthesis → Theme analysis\nMonthly deep-dive → Essay/book chapter\nFiles Included\nsignal-pipeline/\n├── SKILL.md              # This file\n├── README.md             # Setup instructions\n├── requirements.txt      # Python dependencies\n├── daily_signals.py      # Main script (daily/weekly/monthly)\n├── rss_db.py           # RSS feed storage\n├── x_monitor.py        # X/Twitter monitoring\n├── telegram_monitor.py  # Telegram channel scraping\n└── newsletter_monitor.py # Gmail newsletter extraction\n\nQuick Start\n# Install dependencies\ncd skills/signal-pipeline\npip install -r requirements.txt\n\n# Run daily signals\npython daily_signals.py\n\n# Generate weekly summary\npython daily_signals.py --weekly\n\n# Generate monthly report\npython daily_signals.py --monthly\n\nConfiguration\nRSS Feeds\n\nEdit rss_db.py to add your feed URLs:\n\nnew_feeds = [\n    ('Feed Name', 'https://example.com/feed.xml'),\n]\n\nTelegram Channels\n\nEdit telegram_monitor.py:\n\nCHANNELS = ['channel_name_1', 'channel_name_2']\n\nX Accounts\n\nEdit x_monitor.py:\n\nMONITOR_URLS = [\n    'https://x.com/username/status/123456789',\n]\n\nGmail Newsletters\n\nThe newsletter_monitor.py uses gog CLI. Ensure it's configured:\n\ngog gmail search 'newer_than:30d label:newsletter'\n\nRequirements\nPython 3.8+\nfeedparser>=6.0.0\nbeautifulsoup4>=4.12.0\nrequests>=2.31.0\nhttpx>=0.25.0\nDatabase\n\nThree SQLite databases are created:\n\nrss_db.db - RSS articles\nx_monitor.db - X/Twitter data\ntelegram_db.db - Telegram posts\nUse Cases\nContent Creation - Daily signals for X/LinkedIn posts\nMarket Research - Track industry trends\nCompetitive Intelligence - Monitor competitors\nPersonal Branding - Build content streak\nBook Writing - Compile monthly insights\nAuthor\n\nOpen source - free to use and modify."
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    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/mephistophelesbits/signal-pipeline",
    "publisherUrl": "https://clawhub.ai/mephistophelesbits/signal-pipeline",
    "owner": "mephistophelesbits",
    "version": "1.1.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
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