跳到正文
cccskills
免费在 GitHub 公开

A/B Test Variations

This skill provides a high-quality, manually crafted prompt template for AI google veo generation.

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(1)

  • SKILL.md4.2 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

A/B Test Variations

Version: 1.0.0 Category: Google Veo Created by: Momo (manual curation) Created at: 2026-02-05T16:51:45.971858

Description

This skill provides a high-quality, manually crafted prompt template for AI google veo generation.

Note: This is a manually designed and tested prompt, optimized for real-world use cases in e-commerce and content creation.

Usage

Basic Usage

Use this prompt template with your AI video/image generation tool:

Generate two 15-second video variations using Google Veo for A/B testing {product_name}.

Variation A - Focus: Product features
- 15 seconds
- Close-up shots of product details
- Feature callouts with text overlays
- Technical focus
- Color scheme: Cool tones (blue, gray, white)

Variation B - Focus: Lifestyle benefits
- 15 seconds
- Wide shots showing product in use
- Emotional connection, aspirational
- User benefits focus
- Color scheme: Warm tones (orange, yellow, cream)

Test metrics to track:
- Click-through rate (CTR)
- Conversion rate
- Watch time / completion rate
- Engagement (likes, shares, comments)

Use Google Veo to create both variations, ensuring consistency in quality.

Variables

Replace the following variables in the prompt with your specific values:

  • {product_name} - Name of your product
  • {brand_colors} - Your brand's color palette (e.g., "blue, white, gray")
  • {background_style} - Preferred background style (minimal, gradient, specific scene)
  • {target_audience} - Your target audience (e.g., "young adults, 25-35")
  • {cta_text} - Call-to-action text (e.g., "Shop Now - 20% Off")
  • {setting} - Scene setting (home, office, outdoor, café)
  • {feature} - Specific product feature to highlight
  • {season} - Season (spring, summer, autumn, winter)
  • {holiday_colors} - Holiday color palette
  • {competitor_product} - Competitor product name (for comparison)

Example

Generate two 15-second video variations using Google Veo for A/B testing {{Premium Wireless Earbuds}}.

Variation A - Focus: Product features
- 15 seconds
- Close-up shots of product details
- Feature callouts with text overlays
- Technical focus
- Color scheme: Cool tones (blue, gray, white)

Variation B - Focus: Lifestyle benefits
- 15 seconds
- Wide shots showing product in use
- Emotional connection, aspirational
- User benefits focus
- Color scheme: Warm tones (orange, yellow, cream)

Test metrics to track:
- Click-through rate (CTR)
- Conversion rate
- Watch time / completion rate
- Engagement (likes, shares, comments)

Use Google Veo to create both variations, ensuring consistency in quality.

Tags

google-veo, video, ab-testing, optimization

Requirements

Compatible with AI tools that support text-to-video or text-to-image generation:

  • For video: Sora2, Google Veo, Runway, Pika Labs, Kling
  • For image: Midjourney, DALL-E 3, Stable Diffusion, Stable Diffusion XL

Tips

  1. Customize variables: Replace all {variable} placeholders with your specific values
  2. Test and iterate: Generate multiple versions and choose the best result
  3. Adjust parameters: Modify resolution, duration, or style based on your needs
  4. Combine with other skills: Use multiple prompts together for comprehensive content

Use Cases

Perfect for:

  • E-commerce product videos and images
  • Marketing campaigns and promotions
  • Social media content (Instagram, TikTok, YouTube Shorts)
  • Product launches and announcements
  • Seasonal and holiday campaigns
  • Brand storytelling and testimonials

Quality Assurance

This prompt has been:

  • ✅ Manually designed and curated
  • ✅ Optimized for real-world e-commerce scenarios
  • ✅ Tested for AI video/image generation tools
  • ✅ Reviewed for clarity and effectiveness

Feedback

If you find this prompt helpful, please leave a review or share your generated content!


This skill is part of the Manual Prompts Collection - high-quality, curated prompts for AI content generation.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

name: 4d-compression-core version: 1.0.2 description: "把长内容压缩成结构化向量——节省 60-80% Token,保留核心信息" metadata: { "openclaw": { "emoji": "🌀", "requires": { "bins": ["jq", "awk"] }, "triggers": ["压缩", "4d",...

中文简介正在准备中。当前显示原文说明。

modbender/skill-library-mcp172026年9月28日 更新

Use cheap, TEE-verified AI models from the 0G Compute Network as OpenClaw providers. Discover available models and compare pricing vs OpenRouter, verify provider integrity via hardware attestation (Intel TDX), manage your 0G wallet and sub-accounts, and configure models in OpenClaw with one workflow. Supports DeepSeek, GLM-5, Qwen, and other models available on the 0G marketplace.

中文简介正在准备中。当前显示原文说明。

modbender/skill-library-mcp172026年9月28日 更新

Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.

中文简介正在准备中。当前显示原文说明。

modbender/skill-library-mcp172026年9月28日 更新

0xarchive

免费

Query historical crypto market data from 0xArchive across Hyperliquid, Lighter.xyz, and HIP-3. Covers orderbooks, trades, candles, funding rates, open interest, liquidations, and data quality. Use when the user asks about crypto market data, orderbooks, trades, funding rates, or historical prices on Hyperliquid, Lighter.xyz, or HIP-3.

中文简介正在准备中。当前显示原文说明。

modbender/skill-library-mcp172026年9月28日 更新

0xwork

免费

Find and complete paid tasks on the 0xWork decentralized marketplace (Base chain, USDC escrow). Use when: the agent wants to earn money/USDC by doing work, discover available tasks, claim a bounty, submit deliverables, check earnings or wallet balance, or set up as a 0xWork worker. Task categories: Writing, Research, Social, Creative, Code, Data. NOT for: posting tasks (use the website), managing the 0xWork platform, or frontend development.

中文简介正在准备中。当前显示原文说明。

modbender/skill-library-mcp172026年9月28日 更新

Patterns and practices that dramatically accelerate development velocity. Covers parallel execution, automation, feedback loops, workflow optimization, and anti-pattern avoidance. Use when starting projects, planning sprints, optimizing workflows, or onboarding developers.

中文简介正在准备中。当前显示原文说明。

modbender/skill-library-mcp172026年9月28日 更新

查看 modbender 的全部技能

报告此技能的问题