Agent skill

Cinematic Asset Prompts

by kangarooking in kangarooking/director-skills

影视概念美术专家 & 视觉导演技能——从剧本/故事/世界观文字中提取并设计 AI 视频所需的标准化视觉资产提示词。当用户要求"从剧本提取角色/场景/道具/载具提示词"、"生成角色定妆照 prompt"、"生成场景空镜 prompt"、"生成道具/载具/机械资产设定图 prompt"、"为 AI…

MITAuto-check passedMedia & Creative

Install Cinematic Asset Prompts

skills CLI
$ npx skills add kangarooking/director-skills --skill cinematic-asset-prompts -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install kangarooking/director-skills cinematic-asset-prompts --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/kangarooking/director-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cinematic-asset-prompts .claude/skills/cinematic-asset-prompts && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
cinematic-asset-prompts
GitHub stars
181
Token cost
~1.1k tokens
SKILL.md length
283 words
Files
3 (incl. references)
Skills in repo
6
Repo updated
First seen
Licence
MIT

At a glance

影视概念美术专家 & 视觉导演技能——从剧本/故事/世界观文字中提取并设计 AI 视频所需的标准化视觉资产提示词。当用户要求"从剧本提取角色/场景/道具/载具提示词"、"生成角色定妆照 prompt"、"生成场景空镜 prompt"、"生成道具/载具/机械资产设定图 prompt"、"为 AI…

  • Works in 5 steps: 视觉风格定调 → 提取清单 → 生成角色定妆提示词(逐个输出) → …
  • Media & Creative work in your project
  • SKILL.md covers 目的, 角色定位, 核心能力:剧本影调分析 and 输出模式(硬约束), plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Cinematic Asset Prompts is an agent skill from kangarooking/director-skills. 影视概念美术专家 & 视觉导演技能——从剧本/故事/世界观文字中提取并设计 AI 视频所需的标准化视觉资产提示词。当用户要求"从剧本提取角色/场景/道具/载具提示词"、"生成角色定妆照 prompt"、"生成场景空镜 prompt"、"生成道具/载具/机械资产设定图 prompt"、"为 AI 视频做视觉资产设计"、"拆解剧本出图清单"时使用本技能。产出角色定妆(全身/半身)、场景空镜、道具/载具/机械资产设定图四类提示词,中英双语,含影调定调与色彩科学方案。

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/prompt-style-guide.md` and `references/tone-presets.md`).

It sits in Media & Creative. The repository describes itself as: 导演Skill:面向 AI 视频创作的开源 Agent Skills | Director Skills: Open-source Agent Skills for AI video creation. The licence is MIT.

When your agent uses it

  • Media & Creative work in your project

Example prompts

  • “从剧本提取角色/场景/道具/载具提示词”
  • “生成角色定妆照 prompt”
  • “生成场景空镜 prompt”
  • “/cinematic-asset-prompts”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. 视觉风格定调
  2. 提取清单
  3. 生成角色定妆提示词(逐个输出)
  4. 生成场景空镜提示词(逐个输出)
  5. 生成道具/载具/机械资产提示词(逐个输出,剧本涉及才输出)

What it can do on your machine

Read from SKILL.md and the folder at commit 459deba. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Cinematic Asset Prompts loads about 1.1k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 283 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from kangarooking/director-skills at commit 459deba, republished under its MIT licence (© kangarooking). 283 words, ~1,072 tokens.

Download SKILL.mdSave it as .claude/skills/cinematic-asset-prompts/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
cinematic-asset-prompts
description
影视概念美术专家 & 视觉导演技能——从剧本/故事/世界观文字中提取并设计 AI 视频所需的标准化视觉资产提示词。当用户要求"从剧本提取角色/场景/道具/载具提示词"、"生成角色定妆照 prompt"、"生成场景空镜 prompt"、"生成道具/载具/机械资产设定图 prompt"、"为 AI 视频做视觉资产设计"、"拆解剧本出图清单"时使用本技能。产出角色定妆(全身/半身)、场景空镜、道具/载具/机械资产设定图四类提示词,中英双语,含影调定调与色彩科学方案。

Cinematic Asset Prompts — 影视概念美术专家 & 视觉导演

目的

为制作组设计标准化的"视觉资产"提示词,而非创作剧情插画。输入为剧本、故事梗概、世界观设定或分镜文本;输出为可直接投喂图像生成模型的角色定妆照与场景空镜提示词(中英双语),并附导演级影调与色彩科学方案。

角色定位

顶级影视前期概念艺术家,具备导演级的剧本拆解能力,能根据文字描述自动推导最符合叙事逻辑的"电影影调(Cinematic Tone)"与"色彩科学(Color Science)"。

核心能力:剧本影调分析

处理任何剧本前,必须先定义视觉基调,完成三项分析:

  1. 叙事类型分析:识别剧本所属流派(硬核科幻、东方玄幻、黑色电影、末世废土等)。
  2. 影调设定:匹配光影方案(伦勃朗光、丁达尔效应、高反差、低饱和莫兰迪等)。
  3. 色彩科学:设定主色调与对比色对冲方案(青/橙对比、单色调、冷暖分割等)。

流派 → 影调/色彩速查表见 references/tone-presets.md;未命中的流派按叙事逻辑自行推导,并在【视觉方案】中说明推导依据。

提示词的段落骨架、负面约束写法、资产类型 × 视角 × 画幅速查、质感灯光词库见 references/prompt-style-guide.md——生成每条 prompt 前先对照该规范;内容按当次剧本推导,禁止套用规范中的示例文案。

输出模式(硬约束)

Mode A: 角色定妆 (Character Design Sheet)
  • 禁止任何动作。姿态必须是 Full body shot(全身照)、Standing pose(自然站立)、Front view(正视图)。
  • 背景处理:使用单纯色或极其简单的环境氛围,确保轮廓清晰,适合资产建模参考。
  • 必备词汇:Character sheet, Full body shot, Standing, Front view, Neutral expression。
  • 半身特写变体:当用户需要面部/气质细节参考时,输出 half-body portrait——构图集中在面部比例与五官结构,遵循"一个强项,两个辅助"的五官主次逻辑,皮肤按写实纹理描述(毛孔、细纹、素颜感),视角词换为 half-body portrait, looking at camera。
Mode B: 场景空镜 (Environment Concept Art)
  • 画面中绝对不能有人(Nobody / No people)。
  • 视角要求:Panoramic view(全景/广角),展示环境全貌。
  • 必备词汇:No people, Empty scene, Wide angle, Cinematic lighting, High detail。
Mode C: 道具/载具/机械资产 (Prop & Vehicle Asset Sheet)
  • 适用于武器、法器、贴纸道具、载具、机器人、机械单位等非人物资产。
  • 视角固定:道具用 front orthographic view(正交视图,--ar 1:1);载具用 pure side view(纯侧视,--ar 16:9);人形机械用 Robot asset sheet, Full body, Standing, Front view(--ar 9:16)。成对道具可"一正一侧或正面+轻微3/4角度"并列陈列。
  • 可信度锚定:用现实参照物锚定尺寸与机械逻辑;机械体写明批量制造、可靠性、模块化、维护接口等可信性关键词。
  • 必备词汇:isolated asset(或 asset sheet)、neutral gray background、对应视角词、high detail。

三类模式互不混用:角色 prompt 中不得出现环境全景,场景 prompt 中不得出现任何人物,道具/载具 prompt 中不得出现无关人物或场景。同一 IP 内的多资产必须在 prompt 中显式声明共享配色与设计语言。

提示词构造规范(适用所有模式)

每条 prompt 按 references/prompt-style-guide.md 的七段式骨架组织:

  1. 风格定调句开头,全资产共享同一句关键词。
  2. 主体声明:类型 + 身份 + 世界观锚点。
  3. 结构分解:整体→局部逐项描述(角色按气质→骨相→五官→身材→服装→佩挂;道具/载具按形态→结构→材质→细节)。
  4. 配色系统:显式列出主色序列,跨资产声明继承。
  5. 旧化痕迹:写实资产必写沙尘、划痕、掉漆、维修补丁等,限定强度("大量但克制")。
  6. 负面约束:用中文正面否定句写进 prompt 正文("不是 Tron""无发光霓虹""不网红脸、不幼态""不参考任何真实人物""禁止任何文字"),不用参数后缀实现排除。
  7. 英文固定后缀块:资产类型词 + 视角 + 背景 + 灯光 + 画质词 + --ar,收尾。

工作流

STEP 1: 视觉风格定调

分析剧本,输出【视觉方案】,包含:定调描述、色彩倾向、建议的镜头质感(如 35mm 胶片感)。后续所有 prompt 的 Style/Tone 段落必须与该方案一致。

STEP 2: 提取清单

列出剧本中涉及的核心【角色清单】与【场景清单】。每个条目附一句身份/功能定位说明。清单先于 prompt 输出,供用户确认范围。

STEP 3: 生成角色定妆提示词(逐个输出)

中文提示词模板: [影调风格],[角色名],[年龄/身份],[详细外貌特征],[服装细节],全身照,自然站立,正面视角,无动作,纯白色背景,电影级灯光,[特定布光]

英文提示词模板: [Style/Tone], [Character Name], [Age/Role], [Physical Details], [Outfit], full body shot, standing pose, front view, looking at viewer, character sheet, cinematic lighting, [Lighting Setup], [Camera/Lens], 8k --ar 9:16

STEP 4: 生成场景空镜提示词(逐个输出)

中文提示词模板: [影调风格],[地点名],[环境细节与陈设],[光影/气候],空无一人,全景图,无人物,电影色调,[特定镜头参数]

英文提示词模板: [Style/Tone Keywords], [Location Name], [Architectural/Nature Details], [Lighting & Atmosphere], no people, nobody, empty scene, panoramic view, wide angle shot, cinematic color grading, [Lens/Atmosphere], highly detailed --ar 16:9

STEP 5: 生成道具/载具/机械资产提示词(逐个输出,剧本涉及才输出)

中文 prompt 为主体(含负面约束),后缀英文块按 Mode C 视角与画幅速查选取: [风格定调句],[资产类型与身份锚点],[整体形态与结构分解],[配色系统与共享设计语言声明],[材质与旧化痕迹],[负面约束:比例排除/风格排除/文字排除],[Asset type] + [View],isolated asset,neutral gray background,[Lighting],high detail,8K --ar [1:1 或 16:9 或 9:16]

质量守则

  • 逐个输出,每条 prompt 独立完整、可直接复制使用;不要把多个角色/场景合并到一条 prompt。
  • 方括号占位符必须全部替换为具体描述后交付,不得残留占位符。
  • 布光(Lighting Setup)与镜头参数(Camera/Lens)必须从 STEP 1 的【视觉方案】推导,保持全资产影调统一。
  • 同一剧本内的角色之间、场景之间共享同一套 Style/Tone 关键词与色彩科学,仅变体内容不同;同一 IP 的角色、载具、道具必须显式声明共享配色与设计语言。
  • 负面约束写入中文正文(风格排除、比例排除、内容排除三类),不得依赖后缀参数实现排除。
  • 写实类资产必须包含旧化与使用痕迹描述;机械/载具必须包含可信度锚定(现实参照物、机械逻辑、维护/模块化关键词)。
  • 用户明确排斥的风格(如霓虹、发光、赛博朋克、Tron 风)不得混入,即使流派速查表中有相关词条。
  • 若用户已有既定设计系统(配色、材质、风格关键词),以其为准覆盖流派速查表的建议,并保持全资产继承一致。

初始化

准备接收用户的剧本。首先以导演视角定义视觉风格,然后产出高标准的角色定妆照与场景空镜提示词。若用户只提供了角色或场景的一部分,仅处理该部分并沿用同一定调。

© kangarooking, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in cinematic-asset-prompts of kangarooking/director-skills.

  • SKILL.md
  • references/prompt-style-guide.md
  • references/tone-presets.md

Open the folder on GitHubat commit 459deba

Compare with similar skills

Cinematic Asset Prompts next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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    根据用户提供的 1–10 张真实旅拍照片和旅游地点,设计文旅宣传片的推荐分镜顺序、统一视觉母版与逐镜头首帧图生视频提示词。适用于让旅拍照片自然动起来、设计克制运镜和后期剪辑连续性的请求;输出可独立复制的提示词,不直接提交视频生成任务。

    181 GitHub stars~1.6k tokensUpdated 4 days ago
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Questions about Cinematic Asset Prompts

What does Cinematic Asset Prompts do?

影视概念美术专家 & 视觉导演技能——从剧本/故事/世界观文字中提取并设计 AI 视频所需的标准化视觉资产提示词。当用户要求"从剧本提取角色/场景/道具/载具提示词"、"生成角色定妆照 prompt"、"生成场景空镜 prompt"、"生成道具/载具/机械资产设定图 prompt"、"为 AI…. Cinematic Asset Prompts is an agent skill from kangarooking/director-skills.

When should I use Cinematic Asset Prompts?

Cinematic Asset Prompts fits situations like: media & Creative work in your project.

How do I install Cinematic Asset Prompts in Claude Code?

Run `npx skills add kangarooking/director-skills --skill cinematic-asset-prompts -a claude-code`. Or copy the skill folder (cinematic-asset-prompts in kangarooking/director-skills) into .claude/skills/cinematic-asset-prompts in your project. Claude Code loads it when a task matches its description.

How do I install Cinematic Asset Prompts in Codex?

Run `npx skills add kangarooking/director-skills --skill cinematic-asset-prompts -a codex`. Or copy the skill folder (cinematic-asset-prompts in kangarooking/director-skills) into .agents/skills/cinematic-asset-prompts in your project. Codex loads it when a task matches its description.

Can I use Cinematic Asset Prompts in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add kangarooking/director-skills --skill cinematic-asset-prompts -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cinematic-asset-prompts, .gemini/skills/cinematic-asset-prompts, .github/skills/cinematic-asset-prompts and .opencode/skills/cinematic-asset-prompts in your project.

What does Cinematic Asset Prompts need to run?

SKILL.md names no scripts, command-line tools or credentials: Cinematic Asset Prompts is instructions for the agent only.

Does Cinematic Asset Prompts access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Cinematic Asset Prompts safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Cinematic Asset Prompts use?

Cinematic Asset Prompts is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cinematic Asset Prompts use?

About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.7k tokens, read only when the agent opens those files.

What are the alternatives to Cinematic Asset Prompts?

Skills that share tags, products or a category with Cinematic Asset Prompts: Guizang Social Cards (op7418/guizang-social-card-skill, 7.4k stars), Weekly Changelog Video (heygen-com/hyperframes, 60k stars), Anthropic Brand Styling (anthropics/skills, 180k stars) and MoneyPrinterTurbo Video Generator (harry0703/MoneyPrinterTurbo, 130k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cinematic Asset Prompts?

kangarooking (a GitHub user) maintains it in kangarooking/director-skills, which has 181 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 7, 2026.

Source: kangarooking/director-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.