Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Automate TikTok engagement on Android using ADB. Search topics, comment with AI or templates, includes setup wizard. Use for TikTok automation campaigns and building social presence through strategic commenting.
Automate TikTok engagement on Android using ADB. Search topics, comment with AI or templates, includes setup wizard. Use for TikTok automation campaigns and building social presence through strategic commenting.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Automate TikTok engagement on Android using ADB. No web scraping, no CAPTCHA, 100% success rate.
Interactive Setup - Wizard guides first-time configuration Two Comment Modes - Static templates (fast) or AI-generated (smart) Two Operation Modes - Search specific topics or explore For You feed Duplicate Prevention - Never comments twice on same video Flexible Configuration - User defines topics and comment style
Android device with USB debugging enabled ADB (Android Debug Bridge) installed TikTok app logged in on device Python 3.9+ USB cable
The skill includes an interactive setup wizard that runs automatically: python3 tiktok_bot.py search --topics fitness --videos 5 Or run setup manually: python3 setup.py The wizard asks: Topics - What to engage with (e.g., "fitness,cooking,travel") Comment Style: Static - Predefined templates (fast, free, no API) AI - Claude/GPT Vision analyzes videos (smart, ~$0.01-0.05/comment) Configuration: Static: Enter 6-8 comment variations per topic AI: Choose provider (Anthropic/OpenAI/OpenRouter) + API key Setup saves to config.py and .env (both gitignored).
Search for topics and comment on related videos: # Single topic, 5 videos python3 tiktok_bot.py search --topics fitness --videos 5 # Multiple topics, 3 videos each python3 tiktok_bot.py search --topics "fitness,cooking,travel" --videos 3 # Specify device (optional) python3 tiktok_bot.py search --topics gaming --videos 5 --device 001431538002547 Flow: Searches each topic Opens videos from search results grid (2x2 layout) Generates comment (AI analyzes or uses template) Posts comment Returns to search results for next video
Comment on random videos from For You feed: # Comment on 10 random videos python3 tiktok_bot.py explore --videos 10 Flow: Starts on For You feed Analyzes current video (if AI) or uses generic comment Posts comment Scrolls to next video
Fast, reliable, no API costs. User provides 6-8 variations per topic. Example config: COMMENT_STYLE = "static" COMMENTS_BY_TOPIC = { "fitness": [ "That form looks perfect! What's your workout routine?", "Impressive progress! How long training?", # ... more variations ] }
Claude Vision or GPT-4 Vision analyzes video screenshots and generates contextual comments. Example config: COMMENT_STYLE = "ai" AI_PROVIDER = "anthropic" AI_MODEL = "claude-3-5-sonnet-20241022" API key in .env: ANTHROPIC_API_KEY=sk-ant-... Cost: $0.01-0.05 per comment depending on provider.
After setup, you'll have: config.py - Topics, comment style, templates/AI settings .env - API key (if AI mode) .bot_settings.json - Preferences All gitignored by default.
Settings โ About Phone โ Tap "Build Number" 7 times Settings โ Developer Options โ Enable "USB Debugging" Connect device via USB and authorize computer.
adb devices # Should show: <device_id> device adb shell wm size # Note screen resolution (e.g., 1080x2392)
adb kill-server adb start-server adb devices Re-authorize on device if needed.
Coordinates are optimized for 1080x2392 screens. For different sizes: Take screenshot: adb shell screencap -p /sdcard/screen.png && adb pull /sdcard/screen.png Find search icon pixel location (top-right) Update in src/bot/android/tiktok_navigation.py: search_icon_x = 995 # Your X search_icon_y = 205 # Your Y See references/COORDINATES.md for detailed coordinate guide.
Check: API key in .env file API key is valid and has credits Model name is correct Falls back to generic comments automatically
Ensure keyboard is dismissed before tapping Post. The bot does this automatically with KEYCODE_BACK.
Static mode: ~25 seconds per video AI mode: ~30 seconds per video (adds 5s for analysis) Full search session (5 videos): 2-2.5 minutes Explore session (10 videos): 4-5 minutes
100% with working coordinates 0% if tap coordinates miss targets
Claude Vision: $0.01-0.02 per comment GPT-4 Vision: $0.02-0.05 per comment 100 comments: $1-5
โ Good: Specific observations or questions 10-25 words Genuine enthusiasm No emojis (sounds more real) โ Bad: Generic praise ("nice video!") Spam or self-promotion Too short ("first!") Low-value ("๐ฅ๐ฅ๐ฅ")
25-30 comments/day max per account Space sessions: Once daily, vary times Take breaks: Skip 1-2 days per week Monitor: Watch for shadowban signs
Age accounts: 7+ days before automating Manual activity first: Like, follow, browse naturally Vary behavior: Different topics, times, comment styles Start small: Test with 3-5 videos first
openclaw cron add \ --name "Daily TikTok" \ --schedule "0 10 * * *" \ --tz "Your/Timezone" \ --payload '{"kind":"agentTurn","message":"cd /path/to/skill && python3 tiktok_bot.py search --topics fitness,gaming --videos 5"}'
Set ANDROID_DEVICE_ID environment variable: ANDROID_DEVICE_ID=device1 python3 tiktok_bot.py search --topics fitness --videos 5 Or use --device flag: python3 tiktok_bot.py search --topics fitness --videos 5 --device device1
tiktok-android-bot/ โโโ SKILL.md # This file โโโ README.md # Comprehensive docs โโโ setup.py # Interactive setup wizard โโโ tiktok_bot.py # Main script (CLI) โโโ config.example.py # Example configuration โโโ requirements.txt # Python dependencies โโโ scripts/ โ โโโ run_full_campaign.py # Legacy: 25-video campaign โ โโโ run_complete_session.py # Legacy: 3-video session โโโ src/ โ โโโ bot/android/ โ โ โโโ tiktok_android_bot.py # Core automation โ โ โโโ tiktok_navigation.py # Navigation flows โ โโโ ai_comments.py # AI comment generation โ โโโ logger.py # Logging utility โโโ references/ โโโ COORDINATES.md # Tap coordinate guide
loguru>=0.7.0 anthropic>=0.18.0 # If using AI mode openai>=1.12.0 # If using AI mode ADB must be installed and in PATH.
MIT - Use responsibly. Automated commenting may violate TikTok's ToS.
README.md - Full documentation references/COORDINATES.md - Coordinate customization guide Main repository: https://github.com/mladjan/androidSkill
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
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