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twitter-bookmark-sync

twitter-bookmark-sync

Automatically ranks your Twitter bookmarks daily and delivers a curated reading list

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: twitter-bookmark-sync description: Automatically ranks your Twitter bookmarks daily and delivers a curated reading list

twitter-bookmark-sync

Automated Twitter bookmark curation and notification

Never miss important bookmarks. Automatically rank your Twitter bookmarks based on your interests and get a curated reading list delivered daily.


What It Does

  • Learns what matters to you from your bookmarking patterns
  • Adapts ranking weights automatically (interests decay unless reinforced)
  • Categorizes bookmarks by topic and value type
  • Delivers personalized value statements every morning
  • Gets smarter the more you use it

Requirements

  • macOS 10.15 or later
  • Twitter account with bookmarks
  • bird CLI (brew install steipete/tap/bird)
  • Clawdbot (for scheduling and notifications)
  • Twitter auth cookies configured (see Getting Ready)

Getting Ready

Step 1: Install bird CLI

brew install steipete/tap/bird

Step 2: Configure Twitter Authentication

Extract your Twitter cookies from your browser:

  1. Open browser → https://x.com (logged in)

  2. DevTools (Cmd+Option+I) → Application → Cookies → https://x.com

  3. Copy these values:

    • auth_token
    • ct0
  4. Save to config:

mkdir -p ~/.config/bird
cat > ~/.config/bird/config.json5 << 'EOF'
{
  authToken: "your_auth_token_here",
  ct0: "your_ct0_here"
}
EOF
  1. Test:
bird whoami

Installation

clawdhub install twitter-bookmark-sync
cd ~/clawd/skills/twitter-bookmark-sync
./install.sh

The installer will:

  1. Detect your timezone automatically
  2. Set up daily cron jobs (fetch at midnight, notify at 8am)
  3. Create your config file

Configuration

Edit ~/clawd/twitter-bookmark-sync-config.json:

{
  "fetch_time": "00:00",           // When to learn & rank (24h format)
  "notification_time": "08:00",     // When to send results
  "lookback_hours": 24,             // How far back to check
  "notification_channel": "telegram", // or "gmail", "slack"
  "output_dir": "~/Documents"      // Where to save reading lists
}

Ranking criteria (self-evolving):
~/clawd/twitter-bookmark-sync-criteria.json

This file updates automatically based on your bookmarking patterns.
Do not edit manually — let it learn from your behavior.

Notification Channels

Telegram (default):

{
  "notification_channel": "telegram"
}

Gmail (via gog skill):

{
  "notification_channel": "gmail",
  "gmail_to": "your.email@gmail.com"
}

Slack:

{
  "notification_channel": "slack",
  "slack_channel": "#bookmarks"
}

How It Works

Daily Schedule

Midnight (00:00) - Learning Phase:

  1. Fetches bookmarks from last 24 hours
  2. Categorizes each (topic + value type)
  3. Updates ranking criteria:
    • Applies time decay (5% per day) to unused interests
    • Boosts weights for categories you're actively bookmarking
    • Discovers new patterns automatically
    • Normalizes all weights
  4. Ranks new bookmarks using evolved criteria
  5. Saves to ~/Documents/twitter-reading-YYYY-MM-DD.md

Morning (08:00) - Notification:

  1. Analyzes WHY each bookmark matters to you
  2. Sends value statements (not summaries)
  3. Links to full reading list

Example notification:

📚 Twitter Reading List Ready!

**1. @someuser** (Score: 120)
💡 Career growth pathway • Investment strategy
🔗 https://x.com/...

**2. @another** (Score: 110)  
💡 Direct crypto insights • London transition
🔗 https://x.com/...

Self-Learning System

On first install:

  • Initializes from USER.md profile
  • Creates twitter-bookmark-sync-criteria.json
  • 11 value categories with initial weights (0-100)

Every midnight:

  • Categorizes your new bookmarks
  • Updates category weights based on usage
  • Old interests decay 5% per day
  • Active interests stay strong
  • New patterns emerge automatically

Example evolution:

Day 1:  crypto_insights: 100, relationships: 90
Day 10: crypto_insights: 100 (active), relationships: 60 (decaying)
Day 30: crypto_insights: 100, AI_tools: 75 (discovered), relationships: 35

Why this matters:

  • Adapts to your changing interests
  • No manual keyword management
  • Gets better at predicting what you'll value
  • Reflects YOUR actual behavior, not generic defaults

Manual Usage

Run immediately:

cd ~/clawd/skills/twitter-bookmark-sync
./scripts/sync.sh

Change schedule:

# Edit config
nano ~/clawd/twitter-bookmark-sync-config.json

# Reload cron jobs
./install.sh

Troubleshooting

"No bookmarks found"

  • Check bird authentication: bird whoami
  • Verify you have bookmarks: bird bookmarks -n 5

"Permission denied"

  • Check bird config: ~/.config/bird/config.json5
  • Verify cookies are valid (they expire)

"Notification not sent"

  • Check Clawdbot is running: clawdbot status
  • Verify notification channel in config
  • Check logs: ~/clawd/logs/twitter-bookmark-sync.log

License

MIT

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