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skill-supplier-video-ad技能供应商视频广告

Agent Skill

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:skill-supplier-video-ad(技能供应商视频广告)
来源仓库:https://github.com/zero2ai-hub/skill-supplier-video-ad
安装命令:
openclaw skills install skill-supplier-video-ad
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install skill-supplier-video-ad

简介

将供应商或 CJ 源视频转换为 1080×1920 TikTok/Instagram Reels 广告,具有干净区域检测、枕头文本叠加、CTA 卡和趋势音频。

SKILL.md

name
skill-supplier-video-ad
version
1.0.0
description
Build polished 1080×1920 TikTok/Instagram Reels product ads from supplier or CJ Dropshipping source videos. Handles: text-free zone detection, slow-motion cuts, Montserrat Bold text overlays (Pillow-rendered, no ffmpeg drawtext), branded CTA end card, and trending TikTok audio. Use when you have raw supplier/CJ footage and need a ready-to-post short-form ad.

Supplier Video Ad Builder

Turns raw supplier source footage into polished 1080×1920 TikTok/IG Reels ads.

Pipeline: detect clean zones → cut + slow-mo → Pillow text overlays → CTA end card → trending audio → final MP4.

Requirements

  • ffmpeg + ffprobe
  • Python 3.10+: Pillow
  • Montserrat-Bold font (or any TTF — configurable in scripts)
  • Your brand logo as PNG (with transparency)
  • Source video from supplier/CJ

File Structure

skill-supplier-video-ad/
├── scripts/
│   ├── detect_clean_zones.py   # Step 1: extract 1fps frames for text analysis
│   └── make_product_ad.py      # Step 2: full pipeline from config JSON
├── example/
│   └── product-config.json     # Reference config template
└── SKILL.md

Workflow

Step 1 — Detect Clean Zones

Run this on each source video to extract frames for visual inspection:

python3 scripts/detect_clean_zones.py path/to/source.mp4 --output-dir ./frames

Then analyze the frames with an image model:

"For each frame (f_01=t1s, f_02=t2s, ...), is there baked-in text? YES/NO"

Map YES/NO → timestamps → define clean_zones in your config.

Step 2 — Create Product Config

{
  "product_name": "Cool Gadget",
  "price": "29.99 USD",
  "output_name": "cool-gadget-ad-v1.mp4",
  "source_videos": {
    "main": "path/to/source.mp4"
  },
  "clean_zones": [
    { "source": "main", "ss": 2.5, "dur": 2.5, "slowmo": true,  "label": "hero-shot" },
    { "source": "main", "ss": 8.0, "dur": 2.0, "slowmo": false, "label": "lifestyle" },
    { "source": "main", "ss": 14.0,"dur": 3.0, "slowmo": false, "label": "detail" }
  ],
  "text_overlays": [
    { "lines": ["Line 1", "Line 2"],       "start": 0.5, "end": 3.5,  "fontsize": 70, "y_pct": 0.62 },
    { "lines": ["Feature Text"],           "start": 3.8, "end": 6.5,  "fontsize": 70, "y_pct": 0.62 },
    { "lines": ["SHOP NOW"],               "start": 6.8, "end": 9.5,  "fontsize": 92, "y_pct": 0.66 },
    { "lines": ["yourstore.com"],          "start": 6.8, "end": 9.5,  "fontsize": 58, "y_pct": 0.76 }
  ],
  "font_path": "/path/to/Montserrat-Bold.ttf",
  "audio": "path/to/trending-sound.mp3",
  "audio_start_offset": 2,
  "audio_volume": 0.88,
  "cta": {
    "duration": 3,
    "price": "29.99 USD",
    "line1": "Link in bio  🛒",
    "line2": "yourstore.com",
    "bg_color": [8, 8, 14],
    "logo_path": "path/to/logo.png"
  }
}

Config tips:

  • y_pct: vertical position as fraction of frame height. 0.62 = product copy, 0.66 = CTA verb, 0.76 = URL.
  • fontsize: 70–74 for body, 92 for "Shop Now", 58 for URL.
  • Lines ≤ 20 chars each for clean wrapping.
  • slowmo: true → 0.8× speed (PTS=1.25×). Use on hero/dark cinematic shots.
  • Total duration: ~10–13s product footage + 3s CTA = 13–16s ideal ad length.

Step 3 — Run Pipeline

python3 scripts/make_product_ad.py example/product-config.json

Output: output/cool-gadget-ad-v1.mp4 — ready to post.

Text Rendering Note

This skill does NOT use ffmpeg drawtext — it renders text as Pillow PNGs and overlays them via overlay filter. This avoids ffmpeg font/emoji compatibility issues and works on any Linux server.

Output Spec

  • Resolution: 1080×1920 (9:16 portrait)
  • FPS: 30
  • Codec: H.264 + AAC 128k
  • Typical size: 8–20 MB

Proven TikTok Sounds (March 2026)

TrackVibeTikTok Videos
"Bounce (i just wanna dance)" — фрози & joyfulUpbeat instrumental8M+ ✅
"warm nights" — XoriLofi/chill lifestyleTrending
"Break Me" — Blake WhitenCinematic product demoTrending

CTA Card

The pipeline auto-generates a branded end card with:

  • Your logo (PNG with alpha) centered, scaled to 400px wide
  • Glowing ambient light effect behind logo
  • Price in large bold type
  • CTA line + URL in muted gray
  • Dark background (configurable bg_color)

适合场景

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能力 5

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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