Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Developer Tools
Skill Tiktok Video Pipeline
End-to-end TikTok ad video pipeline. Product image → base video (Runway/Veo) → slowmo stretch → animated caption overlay → final MP4. One command, full autom...
skill openclawclawhub Free
End-to-end TikTok ad video pipeline. Product image → base video (Runway/Veo) → slowmo stretch → animated caption overlay → final MP4. One command, full autom...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, _meta.json, assets/README.md, config/products.json, scripts/generate.js, scripts/pipeline.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- 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.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
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. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 2.0.0
Provenance
- Publisher
- Zero2Ai-hub
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
skill-tiktok-video-pipeline v2
Full end-to-end pipeline for TikTok product ads. Takes a product_id + script_text and outputs a publish-ready vertical short-form video with captions, optional logo watermark, and background music.
Architecture
script_text + product_id │ ▼ Step 1: Veo 3 base video generation (9:16, ~8s) │ ▼ Step 2: Caption overlay + logo watermark └── tiktok_overlay_engine_v3.py (ffmpeg drawtext) │ ▼ Step 3: Background audio mix (20% volume, ffmpeg amix) │ ▼ output/tiktok/<product_id>_<lang>_final.mp4
Requirements
GEMINI_API_KEY env var (for Veo generation) ffmpeg on PATH uv on PATH (for Python scripts) veo3-video-gen skill installed at skills/veo3-video-gen/
Usage
node scripts/generate.js \ --product-id rain_cloud \ --script-text "Stop dry air!|Ultrasonic mist|Whisper-quiet|Get yours today" \ --lang EN
With logo and custom audio
node scripts/generate.js \ --product-id hydro_bottle \ --script-text "Hydrogen water|Boosts energy|Pure & clean|Shop now" \ --lang EN \ --logo /path/to/brand_logo.png \ --audio /path/to/bgm.mp3
Arabic (AR) captions
node scripts/generate.js \ --product-id mini_cam \ --script-text "صوّر كل لحظة|دقة عالية|خفيف وصغير|اطلب الآن" \ --lang AR
Dry-run (no API calls, generates dummy video for testing overlay)
node scripts/generate.js \ --product-id test \ --script-text "Line 1|Line 2|Line 3" \ --dry-run
Inputs
ArgumentRequiredDefaultDescription--product-id✅—Product identifier (used in output filename)--script-text✅—Caption lines separated by |--lang❌ENLanguage: EN or AR--logo❌nonePath to logo PNG for watermark (top-right)--audio❌assets/bgm_default.mp3Background music path--veo-model❌veo-3.1-generate-previewVeo model to use--prompt❌autoCustom Veo generation prompt--segments❌1Number of Veo segments to generate & stitch--dry-run❌falseSkip Veo API call; use dummy black video
Outputs
FileDescriptionoutput/tiktok/<product_id>_<lang>_final.mp4Final publish-ready TikTok video
Scripts
ScriptDescriptionscripts/generate.jsMain Node.js orchestratorscripts/tiktok_overlay_engine_v3.pyPython/ffmpeg caption overlay engine
Caption Format
Captions are split by | and timed evenly across the video duration. Example: "Hook line!|Feature 1|Feature 2|CTA here" → 4 pills, each shown for ~2s on an 8s video. Pill style: dark semi-transparent box, white text, centered at 75% height.
Default Audio
Place a royalty-free BGM file at assets/bgm_default.mp3 in this skill folder to auto-mix audio in all runs. If no audio is found, the video is output without BGM.
Pipeline Steps Detail
Step 1 Veo 3 generates a 9:16 base MP4 ~60–120s Step 2 Python overlays timed caption pills ~5s Step 3 ffmpeg mixes BGM at 20% volume ~5s ───────────────────────────────────────────────────────── Output Final branded MP4 ready to post
pipeline.py (v2.0.0 — Python orchestrator)
Direct Python pipeline wired to overlay engine via subprocess. uv run scripts/pipeline.py \ --product rain_cloud \ --image product.jpg \ --output final.mp4 \ --audio /path/to/music.mp3 \ --slowmo
New flags (v2.0.0)
FlagDefaultDescription--audio$DEFAULT_AUDIO env or bundled Hyperfun.mp3Audio file passed to overlay step--slowmofalseApply 0.83x speed → fills ~12s. Overrides --extend-to auto-stretch
Environment Variables
VarDefaultDescriptionDEFAULT_AUDIOworkspace root audio_Hyperfun.mp3Default audio if --audio not set
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs2 Scripts2 Config
- SKILL.md
- assets/README.md
- scripts/generate.js
- scripts/pipeline.py
- _meta.json
- config/products.json