Skill: ye4wzp/short-drama-publisher (version 1.0.0)

--- name: short-drama-publisher version: 1.0.0 description: > Automated short drama video publisher. Downloads drama content from MoboBoost, uses AI to identify highlight moments, clips 15-second vertical videos with text overlays, and auto-publishes to Facebook. Strawberry TV workflow clone. Triggers: "短剧发布", "short drama", "MoboBoost", "video publisher", "自动发布", "剪辑短剧". tags: [video, automation, short-drama, facebook, social-media, content, publisher, chinese] env: MOBOBOOST_COOKIES: "MoboBoost login cookies (JSON format, exported from browser)" FACEBOOK_COOKIES: "Facebook login cookies (JSON format, exported from browser)" requires: - ffmpeg - python3 - playwright --- # Short Drama Publisher (短剧自动化发布) Automated short drama promotion video workflow, inspired by **Strawberry TV** model: 1. 📥 Download drama content from MoboBoost 2. 🎯 AI-powered highlight detection (scene changes, audio peaks, subtitle emotion) 3. ✂️ Clip 15-second vertical videos with white English title overlay 4. 📤 Auto-publish to Facebook --- ## Prerequisites ### System Dependencies ```bash # macOS brew install ffmpeg # Python dependencies pip install playwright opencv-python librosa numpy pyyaml playwright install chromium ``` ### Credentials Setup 1. **MoboBoost Cookies** - Login to https://ckoc.cdreader.com - Export cookies using browser extension (e.g., "EditThisCookie") - Save as `config/moboboost_cookies.json` 2. **Facebook Cookies** - Login to Facebook - Export cookies using browser extension - Save as `config/facebook_cookies.json` --- ## Usage ### Full Automated Workflow ```bash python scripts/daily_workflow.py ``` ### Individual Modules **Download content:** ```bash python scripts/moboboost_downloader.py --drama-code 613815 ``` **Detect highlights:** ```bash python scripts/highlight_detector.py --input data/downloads/video.mp4 ``` **Clip video:** ```bash python scripts/video_editor.py --input video.mp4 --start 01:23 --title "Drama Name" ``` **Publish to Facebook:** ```bash python scripts/facebook_publisher.py --video data/outputs/clip.mp4 --drama-code 613815 --drama-name "DramaName" ``` ### Daily Cron Job ```bash # Run daily at 9am 0 9 * * * cd /path/to/short-drama-publisher && python scripts/daily_workflow.py >> logs/cron.log 2>&1 ``` --- ## Configuration ### settings.yaml ```yaml # Video settings video: duration: 15 # Clip duration (seconds) width: 1080 # Width height: 1920 # Height (9:16 vertical) # Text overlay settings text_overlay: font: "Arial-Bold" size_ratio: 0.05 # Font size as ratio of video width color: "#FFFFFF" border_color: "#000000" border_width: 2 position_y: 0.75 # Vertical position (ratio from top) # AI highlight detection weights highlight_weights: scene_change: 0.30 audio_peak: 0.25 subtitle_emotion: 0.25 motion_intensity: 0.20 # Publishing settings publishing: videos_per_day: 3 # Number of videos per day interval_minutes: 120 # Interval between posts (minutes) ``` --- ## Directory Structure ``` short-drama-publisher/ ├── SKILL.md # This file ├── config/ │ ├── settings.yaml # Configuration │ ├── moboboost_cookies.json # MoboBoost credentials │ └── facebook_cookies.json # Facebook credentials ├── scripts/ │ ├── moboboost_downloader.py # Content downloader │ ├── highlight_detector.py # AI highlight detection │ ├── video_editor.py # Video clipping │ ├── facebook_publisher.py # Facebook publisher │ └── daily_workflow.py # Main workflow ├── data/ │ ├── downloads/ # Raw downloaded content │ ├── outputs/ # Clipped videos │ └── history.json # Publishing history ├── fonts/ # Font files └── logs/ # Log files ``` --- ## AI Highlight Detection The highlight detector uses multiple signals to find the most engaging moments: | Signal | Weight | Method | |--------|--------|--------| | Scene Change | 30% | OpenCV frame-by-frame difference analysis | | Audio Peak | 25% | Librosa audio amplitude analysis | | Subtitle Emotion | 25% | Text sentiment analysis on subtitles | | Motion Intensity | 20% | Optical flow magnitude calculation | Each frame gets a composite score, and the highest-scoring 15-second segment is selected. --- ## Important Notes > [!WARNING] > - MoboBoost and Facebook websites may update, requiring script adjustments > - Recommend 1-3 videos per day to simulate organic posting rhythm > - Ensure you have rights to use MoboBoost content for promotion > - Cookie-based auth may expire; re-export periodically


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)