Tech product

Skill khanhhuyenngo985-sys/character-scene-design-skills/skills/.archive/research-utility/tech-product

通用角色与场景设计技能包：角色资产、身高比例锁、三视图一致性、服装状态、道具锚点、场景动线与 AI 图像/视频提示词流程From the repository description

Install

npx -y skills add khanhhuyenngo985-sys/character-scene-design-skills --skill tech-product

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
5 stars5 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.1 KB, ~1.2k tokens by cl100k_base, as published. Nobody here has run it

科技产品特写 - 高定线技能

适用场景

行业：科技数码（手机、汽车、家电、智能硬件）
风格：产品特写
品牌调性：创新、未来、品质

美学配方

色调

冷白40% + 浅灰30% + 纯黑20% + 科技蓝点缀10%
参考：Apple产品广告、三星旗舰手机

光影

自然窗光50% + 柔和反差30% + 极轻渐变20%
避免过度打光或硬阴影

节奏

产品凝视60% + 缓慢推进30% + 偶尔特写10%
让产品"呼吸"，禁忌：全程快切

质感

简洁背景（纯色或极简渐变）
产品细节清晰呈现
8K超清画质优先

镜头语言

氛围元素

大量留白
几何线条
未来感、极简主义
抽象视觉隐喻（不用直接展示产品全貌）

禁忌

过多特效堆砌
背景杂乱
信息过载
高饱和色块
快节奏剪辑贯穿
满屏文字

声音设计

BGM风格

氛围电子乐（简洁、空灵）
或无声音乐（纯视觉呈现）
音量极轻

音效

极简
产品音效（轻击、滑动等）
禁忌：过度音效

参考案例

Apple "Shot on iPhone" 系列
Apple product reveal 影片
三星Galaxy旗舰手机广告
特斯拉汽车产品影片
Dyson 产品特写

输出格式

screenwriter/director 使用此技能时：

读取本技能的美学配方
在 A1/A5 中引用对应条款
确保所有创作决策符合本技能规范
路由到 prompt-matrix 生成最终平台化提示词

AI视频提示词模板

[Style/Genre] technology product commercial, [main subject] [core action],

[00:00-00:05] Shot 1: [camera movement] [angle], [subject] [action], [lighting] [atmosphere], [texture details]
then cut to:
[00:05-00:10] Shot 2: [camera movement] [angle], [subject] [action], [lighting] [atmosphere], [texture details]
then cut to:
[00:10-00:15] Shot 3: [camera movement] [angle], [subject] [action], [lighting] [atmosphere], [texture details]

Cinematic, clean digital capture, 16:9,
cold white 40% + light gray 30% + pure black 20% + tech blue accent 10%,
natural window light 50% + soft contrast 30% + minimal gradient 20%,
product gaze 60% + slow push-in 30% + occasional detail close-up 10%,
minimalist background, 8K ultra HD, product details crystal clear,
ambient electronic [BGM风格], minimal sound design
参考：Apple product ads, Samsung Galaxy flagship, Tesla product films, Dyson product close-ups

Make sure the prompt captures:

色调：冷白40% + 浅灰30% + 纯黑20% + 科技蓝点缀10%
光影：自然窗光50% + 柔和反差30% + 极轻渐变20%
节奏：产品凝视60% + 缓慢推进30% + 偶尔特写10%
质感：简洁背景8K超清，产品细节清晰
参考：Apple产品广告、三星Galaxy、特斯拉、Dyson

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most product growth skills give in ~1.2k tokens

Counted across 728 of the 1,010 authors here whose files we hold, read 2026-08-07

Read product marketing context before asking questionsin 24 of 728, across 18 files
Define the ideal customer profilein 21 of 728, across 3 files
Document a rollback plan before deploymentin 21 of 728, across 12 files
Analyze the codebase to understand the productin 19 of 728, across 1 file
Ask clarifying questions about the value propositionin 19 of 728, across 1 file
Search for companies matching the criteriain 19 of 728, across 1 file
Look for signals of immediate needin 19 of 728, across 1 file
Assign a fit score from one to tenin 19 of 728, across 1 file
Identify the target decision-maker rolein 19 of 728, across 1 file
Suggest a personalized contact strategyin 19 of 728, across 1 file
Provide conversation starters for outreachin 19 of 728, across 1 file
Format results in a scannable markdown templatein 19 of 728, across 1 file

Said here and by no other author read

use cold white, light gray, black, and tech blue colors
use natural window light, soft contrast, and minimal gradient
maintain a rhythm of product gaze and slow push-in shots
prioritize 8K ultra HD resolution
ensure product details are crystal clear
use ambient electronic background music at minimal volume

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.