byted-ind-ecom-product-video-prompt

byted-ind-ecom-product-video-prompt is a skill for Claude Code, Codex from bytedance/agentkit-samples. It costs 79 tokens per session (5,275 once invoked), scanned A, original, Apache-2.0.

A structured prompt-writing guide for creating e-commerce product videos with Seedance 2.0. It turns one or more product images into a product showcase script using scene settings, timed shots, and output constraints.

In plain words
What is it for?
Use it to write prompts or scripts for showcasing shoes, clothing, bags, beauty products, and 3C accessories in generated marketing videos.
Why use it?
It gives static product photos a planned sequence of scenes, camera movements, product details, and consistency rules before video generation.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit Use it to write prompts or scripts for showcasing shoes, clothing, bags, beauty products, and 3C accessories in generated marketing videos.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bytedance/agentkit-samples/byted-ind-ecom-product-video-prompt
About the project

bytedance/agentkit-samples is a collection of examples and tutorials for Volcengine AgentKit, an AI-agent development platform for building, deploying, and operating agent applications. Developers use the samples to learn agent creation, multi-agent collaboration, memory, retrieval, MCP integrations, media generation, customer service, and other workflows. The catalogue skills provide agent workflows based on these examples.

bytedance/agentkit-samples · 450 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add bytedance/agentkit-samples --skill byted-ind-ecom-product-video-prompt
Clone the repo
git clone --depth 1 https://github.com/bytedance/agentkit-samples

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for byted-ind-ecom-product-video-prompt

README.md
[![agentmods](https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-ind-ecom-product-video-prompt/github.svg)](https://agentmods.dev/skills/bytedance/agentkit-samples/byted-ind-ecom-product-video-prompt)
Your own site
<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-ind-ecom-product-video-prompt"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-ind-ecom-product-video-prompt/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for byted-ind-ecom-product-video-prompt

Your own site · 80×15
<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-ind-ecom-product-video-prompt"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-ind-ecom-product-video-prompt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,275 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00079 $0.05275
Opus 5 $0.00039 $0.02638
Sonnet 5 $0.00016 $0.01055
Haiku 4.5 $0.00008 $0.00528

Measured 11d ago against content hash 1c56f544bba5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

byted-ind-ecom-product-video-prompt scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/generate_prompt.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/byted-ind-ecom-product-video-prompt/SKILL.md · 277 lines

How it starts

The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.

商品视频提示词生成器

本技能使用 Seedance 2.0 "三层骨架" 方法论 将静态商品图片转换为专业的视频生成提示词。它提供结构化模板、品类专属示例以及质量标准,用于创建引人注目的电商商品视频。

何时使用本技能

  • 将单张或多张商品图片转换为视频提示词
  • 创建专业商品展示视频脚本
  • 为 Seedance 2.0 视频生成生成结构化提示词
  • 需要品类专属模板(鞋服、箱包、美妆、3C配件)
  • 希望遵循行业标准的 "三层骨架" 方法论

方法论概述

"三层骨架" 方法论包括:

  1. 全局设定(第一层):定义商品、人物、场景、构图、光线和风格
  2. 时间片分镜(第二层):使用 "五段式分镜框架" 设计叙事节奏(0-3s, 3-6s, 6-9s, 9-12s, 12-15s)
  3. 约束与输出规格(第三层):设置一致性规则、质量标准和参数

快速开始:30秒配方

  1. 选择模板:单图模板或多图模板
  2. 填充核心槽位:商品名称 + 参考图片
  3. 定义关键元素:人物、场景、光线
  4. 生成:第一版使用模板默认设置
  5. 迭代:根据结果进行调整

模板

模板一:单图生成视频

适用于只有一张核心商品图,需要AI围绕其进行创意延伸的场景。

## 全局设定
- **商品**: [你的商品名称] (参考[图1])
- **人物**: [模特风格、气质、着装描述,或"无人物"]
- **场景**: [具体场景描述,如"简约明亮的原木风室内工作室"]
- **构图**: [构图风格,如"中心构图,画面极简平衡"]
- **光线**: [光线描述,如"清晨自然侧向柔光"]
- **风格**: 写实风格,真实拍摄,电影级质感

## 时间片分镜脚本
1. **0s-3s (引出主体)**: [远景/全景]展示[模特状态或商品陈列],镜头[推/拉/移]至[中景/近景],呈现[商品名称]的整体[廓形/外观]。
2. **3s-6s (核心质感)**: [中景/近景]拍摄[模特动作或商品细节],展示[商品材质/设计特点],[固定机位/慢速推近]。
3. **6s-9s (场景交互)**: [中景/全景]捕捉[商品与环境元素(如光影、微风、道具)的互动],展现其[动态美/氛围感]。
4. **9s-12s (多角度展示)**: [中景/近景]采用[环绕/旋转/弧线]运镜,多角度呈现[商品名称]的[立体感/侧面细节]。
5. **12s-15s (品牌收尾)**: [全景/中景]定格[模特或商品]在[场景描述]下的最终画面,营造[品牌氛围,如"高端极简"或"活力时尚"]氛围。

## 约束与输出规格
- **一致性**: [商品名称]必须与参考图[图1]严格一致,无变形、无穿模。
- **人物稳定性 (如需要)**: [人物描述]动作真实流畅,面部五官稳定清晰,无异常姿态,手部无畸变。
- **美学要求**: 8K超清画质,光影自然通透,色彩真实,背景适当虚化。
- **Seedance 2.0 参数**: 时长[15s], 画幅[16:9], 风格强度[中], 节奏[舒缓]。

模板二:多图生成视频

适用于提供多个角度的商品图,需要AI严格保持各角度特征一致性的场景。

## 全局设定
- **商品**: [你的商品名称] (参考[图1], [图2], [图3]...)
- **人物**: [模特风格、气质、着装描述,或"无人物"]
- **场景**: [具体场景描述]
- **构图**: [构图风格]
- **光线**: [光线描述]
- **风格**: 写实风格,真实拍摄,商业大片质感

## 时间片分镜脚本
1. **0s-3s (引出主体)**: [全景/远景]展示[商品名称](参考[图1]的整体外观)在[场景]中,镜头[拉远/推近],展示商品与空间的[开阔感/和谐感]。
2. **3s-6s (核心质感)**: [中景/近景]侧面拍摄[模特穿着/使用着商品名称],展示其[关键特点如"厚底廓形"或"皮革纹理"],(参考[图2])。
3. **6s-9s (场景交互)**: 中景捕捉[模特/商品]在[场景元素如"窗边"]位置,[光线/环境元素]在商品表面产生[效果],(参考[图3]),映射出[材质/设计]的层次变化。
4. **9s-12s (多角度展示)**: [中景/全景]采用[环绕/摇臂]等运镜方式,全面展示[商品名称]的(参考[图4])[空间立体轮廓/多维细节]。
5. **12s-15s (品牌收尾)**: [全景]镜头下,[商品名称](参考[图5])定格在[光影环境]中,[背景虚化/焦点]处理,营造出[品牌调性]氛围。

## 约束与输出规格
- **一致性**: [商品名称]必须在所有参考角度([图1]-[图5])之间严格保持特征一致,细节、颜色、Logo完全匹配,无穿模。
- **人物稳定性 (如需要)**: [人物描述]动作连贯自然,面部五官稳定清晰,表情一致,无手部畸变。
- **美学要求**: 超清8K画质,光线通透,色彩精准。
- **Seedance 2.0 参数**: 时长[15s], 画幅[9:16], 风格强度[高], 节奏[动感]。

Read the full file on GitHub · 277 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 277 lines · 79 tokens per session scan A 1c56f544bba5

Subscribe to this mod's changes

byted-ind-ecom-product-video-prompt is a skill published in the GitHub repository bytedance/agentkit-samples (450 stars, last pushed yesterday), licensed Apache-2.0. It adds 79 tokens to every session and 5,275 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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