🎬 超级导演系统 · Super Director System
把导演的判断力装进 Claude。 光影、分镜、调度、节奏、美学——数百集 AI 短剧实战打磨出的全套导演工艺,打包成 Claude Skills 插件:丢进一个剧本,走出带调度图的完整分镜和可直接投喂视频模型的提示词。
A director's judgment, installed into Claude. Forged across hundreds of episodes of real AI short-drama production — feed it a script, get back blocking diagrams, a full shot list, and production-ready prompts for Sora / Kling / Veo / Seedance. Jump to English ↓
中文用户从这里开始 ↓ | English speakers: full English docs below ↓
一、这是什么
给 AI 装上"导演脑"的知识库+工作流。它不是提示词模板集——它先像导演一样想(这场戏观众该感到什么?权力关系怎么用站位讲?光从哪来?),再像制片厂一样交付(调度图→分镜表→六段式提示词,层层过检)。
13 个技能,一次安装:
| 技能 | 干什么 |
|---|---|
cinema-director |
中文主系统:路由总纲+19份工艺文件+美学基础库+调度图圣经+实战手册+示例圣经 |
cinema-director-en |
英文主系统:全英文路由/铁律/六段式规范+英文版实战手册/调度图/示例圣经,提示词输出英文 |
zhang-yimou-visual-ritual |
张艺谋:单色统治与视觉仪式 |
wong-kar-wai-emotion |
王家卫:抽帧/手持/暧昧光影 |
ang-lee-emotional-realism |
李安:情感现实主义 |
johnnie-to-staging |
杜琪峰:站位美学与静默张力 |
tsui-hark-fantasy-action |
徐克:武侠奇观动作设计 |
wong-jing-commercial-hooks |
王晶:商业钩子与爽点 |
ning-hao-black-comedy |
宁浩:黑色幽默多线叙事 |
zhou-xingchi-director |
周星驰:喜剧机理 |
peter-pau-cinematography |
鲍德熹:摄影布光法 |
cinema-director-master-library |
71位导演深档总库+点将路由 |
ai-short-drama-director-kit |
AI短剧导演工具包 |
二、工作流程(四步交付)
剧本 / 一个点子
│
┌─────────▼─────────┐
│ 第0步 · 美学圣经 │ 没有圣经不开机:七步法锁死全剧的看相
│ (每个项目做一次) │ (照 91示例圣经 抄结构,10分钟粗版也行)
└─────────┬─────────┘
│
① 🎬 导演分析 节奏弧 / 镜头段落总量 / 最难一点
│
② 🗺️ 场面调度图 每场一张文字版俯视图:站位+走位线+机位+灯位+轴线
│ → 跳轴/无源光/空间失忆在图纸期就死掉
③ 📋 分镜表 每段≤15s,景别交替,动静匹配,段尾=下段开头
│
④ ✍️ 六段式提示词 每段一条,六大板块焊死,负面词兜底
│
🖼️ 图先行生成 先出首帧图审过 → 再图生视频 → 过交付快检六问
三、五分钟上手教程
第 1 步 · 安装(二选一)
# 方式A:Claude Code 插件
/plugin marketplace add fanchengchen1-collab/super-director
/plugin install super-director
方式B:把 skills/ 下的文件夹复制到 ~/.claude/skills/,重启 Claude Code。
推荐运行环境(按体验排序):
| 环境 | 用法 | 体验 |
|---|---|---|
| Claude Code(首选) | 插件安装,技能自动触发 | 完整体验:说人话即调用,路由自动执行 |
| Codex | 各技能已内置 agents/openai.yaml 适配 |
技能可识别,工作流手动引导 |
| Kimi(K2 Agent) | 投喂 dist/超级导演系统_全量合集.md(400KB单文件) |
全量知识+流水线顺序,长上下文一次吃下 |
| 其他任何AI(ChatGPT/Gemini/网页对话) | 投喂 dist/超级导演系统_单文件执行版.md |
精编单文件:执行协议+五阶段门禁+全部模板内嵌,零外挂依赖 |
为什么要 dist/:技能版是"懒加载"架构(路由表按需读文件),只有 Claude Code 的技能机制能保证执行;其他 AI 拿到多文件包不会主动全读。
dist/是"饿加载"编译产物——链路内嵌成单文件,每阶段带强制检查清单,任何 AI 照读就能跑完整流程。知识库更新后运行tools/build_bundle.ps1一键重编。
第 2 步 · 给你的项目建一本美学圣经(每个项目一次,10-30分钟)
对 Claude 说:
「用七步法帮我的项目《XXX》建一本美学圣经。题材是____,平台是____(竖屏短剧/横屏)。照示例圣经的结构来。」
你会得到:渲染域声明、命门句、视觉根脉、hex 锁死的色彩配方、差异化签名、分区应用表——之后所有产出都长在这本圣经上,保证 60 集像同一部剧。
第 3 步 · 跑一集
「这是 EP01 剧本(粘贴/拖入文件)。按四步流程跑:先出导演分析和全部调度图,然后逐场出分镜表和六段式提示词。圣经用我们刚建的。」
大体量剧集会分轮交付(先分析+调度图,再逐场分镜),这是刻意设计——每轮你都能插手改方向。
第 4 步 · 生成
按"图先行"纪律:先让图片模型出每镜首帧 → 你审(像不像、光对不对)→ 首帧过了再图生视频。角色一致性靠"身份描述块逐字复用+参考图锁脸",手册里有完整流程。
第 5 步 · 翻车了?
把生成结果的问题描述给 Claude:
「这段画面人物像贴在背景上/动作僵硬/太干净像渲染图,帮我诊断改提示词。」
会按"去AI感三方"给出病灶和修正版提示词,改一处测一处。
四、输出长什么样(真实格式示例)
「视频段落 P3」(镜头 S3-01 至 S3-02,总时长 7s)
【核心风格基调】
中式武侠+风雪孤驿杀气临门+北宋雪景寒林美学+沉浸式氛围感+电影级镜头语言
+实拍电影质感,真实光影物理+9:16竖屏构图
【画面质感参数】
老木柜台包浆、粗陶碗豁口、门外雪粒被风卷入,灶火橘暖光为全帧唯一暖锚
(光源=北墙灶膛,向南衰减,近亮远暗)+黛蓝雪夜冷底+光比6:1+呼出白气
+接触阴影清晰,营造《绣春刀》式风雪意境
【角色/主体设定】
店小二:三十岁上下,粗布短打油渍围裙,擦碗的手稳而慢,眼皮低垂神情温吞;
赏金头目:披斗篷带雪进门,按刀而立;保持五官发型服装不变,同一角色,面部清晰不变形
【镜头与分镜脚本】
场景总设定:夜,风雪客栈大堂,灶火为主光源,9:16竖屏
0-4s [S3-01]:中景,固定,大门被推开,头目披雪而入,门外风雪灌进,桌上油灯齐齐一矮,
(门轴呻吟|风雪嘶吼|大堂骤静)
4-7s [S3-02]:特写,固定,柜台后店小二擦碗的手没有停,把碗轻轻放下,布叠得方正,
(布擦陶碗的沙沙声|风声被门板隔弱)
⚡ 景别交替检查:MS-CU ✅
⚡ 动静匹配检查:动-静(骤静收口,形状故意为之) ✅
⚡ 段尾状态:店小二双手按在叠好的布上,抬眼 → 下段从抬眼开始
【技术与输出参数】
4K,30fps,9:16,时长7s,运镜:S3-01固定/S3-02固定
【负面提示词】
避免:横屏构图,背景音乐,配乐,动画感,塑料皮肤,影楼打光,均匀无方向的全局照明,
人物滑步,出厂全新材质
五、为什么它不一样
- L1/L2 分离:"电影是这样"(永恒规律)与"AI 目前只能这样"(临时约束)严格分层——模型换十代,工艺层一字不改。混写的提示词库,模型一升级整库作废。
- 调度画成图再拆镜:文字版俯视调度图(站位+走位线+机位+灯位+轴线)前置于分镜——跳轴、无源光、空间失忆在图纸期就死掉。全赛道没有第二家做这个。
- 三渲染域正交轴:写实/2D动漫/3DCG 各有光影法则,开工先拨域,规则不串味。
- 先情绪后技术:每颗镜头先答"观众此刻该感到什么"。这是系统第一铁律,也是它产出不像"AI 味模板"的根本原因。
六、开源版 vs Pro 版
开源版=方法论全量+产线够用版:全部导演工艺与美学知识+调度图圣经+实战手册(生成红线/去AI感/角色一致性/硬性规则/交付快检)——照着做,能稳定产出制作精良的成片。
Pro 版=工业化量产线:逐模型脾气红线库与翻车病历本、素材QA评分器(六维打分+自动重生红线)、表情表演库(40情绪×三档+FACS防变脸)、剧组流水线(5工种智能体+双质检打回)、完整首帧锚定与角色资产台账、后期质感SOP、进化引擎。一句话:开源版让你拍出好片,Pro 版让你批量稳定地拍出更好的片。 文件中指向这些编号的引用属有意剥离,非死链。
七、FAQ
Q:支持哪些视频模型? 红线是跨模型通用的(单镜单向/禁焦距数值/5-15s/光线详写);中文提示词适配即梦 Seedance/海螺,英文提示词适配 Kling/Veo/Sora/Runway。用 cinema-director-en 直接输出英文。
Q:必须会用 Claude Code 吗? 不必须。推荐顺序:Claude Code(自动触发)> Codex(已带 openai.yaml 适配)> Kimi K2 Agent(挂载为知识库)。任何能读文件的 AI 对话都能用,见上方"推荐运行环境"。
Q:文档都是中文,英语用户怎么办? 用 cinema-director-en:交互和输出全英文,中文知识库由 Claude 原生阅读,对你透明。
Q:能商用吗? 创作你自己的片子=可以;把本内容做成课程/付费资料卖=不可以(License 见下)。
License
CC BY-NC-ND 4.0(署名-非商业性使用-禁止演绎)。可自由学习、使用、分享;不得商用(含卖课/付费社群),不得改编后再分发。商业合作请开 issue。
🎬 English
A director's judgment, installed into Claude. Lighting, storyboarding, blocking, pacing, aesthetics — a complete film-craft system distilled from hundreds of episodes of real AI short-drama production. Feed it a script; get back blocking diagrams, a full shot list, and production-ready prompts for Sora · Kling · Veo · Seedance · Runway.
What is this?
A knowledge base + director workflow that makes Claude think like a director before it writes a single prompt. It is not a prompt-template pack: it first thinks (what should the audience feel? how does blocking tell the power story? where does the light come from?), then delivers like a studio (blocking diagram → shot list → Six-Block prompts, each stage gated by checks).
13 skills in one install — the English master system cinema-director-en (English interaction, English prompt output, English handbook/blocking-diagram/example-bible), the Chinese master system, and 11 master-director style skills (Zhang Yimou, Wong Kar-wai, Ang Lee, Johnnie To, Tsui Hark, Stephen Chow, Peter Pau, a 71-director deep-profile library, and more).
The deep craft files are written in Chinese — Claude reads them natively and serves you in English. You never touch the file language.
The Workflow (4-step delivery)
your script / your idea
│
┌──────────▼──────────┐
│ Step 0 · Style Bible │ no bible, no camera: the 7-step method locks
│ (once per project) │ the show's entire look (copy example-style-bible.md)
└──────────┬──────────┘
│
① 🎬 Director Analysis pacing arc / shot & segment counts / hardest problem
│
② 🗺️ Blocking Diagram one text-based overhead map per scene: positions,
│ movement paths, cameras, lights, axis
│ → axis jumps, unmotivated light, spatial amnesia
│ die on paper, before generation
③ 📋 Shot List segments ≤15s, shot sizes alternate, motion matches,
│ each segment's end = next segment's start
④ ✍️ Six-Block Prompts one per segment, six fixed blocks, negatives included
│
🖼️ Image-first generation first frames as stills → approve → image-to-video
→ pre-delivery checklist
Five-Minute Tutorial
Step 1 · Install (either way)
# Option A: Claude Code plugin
/plugin marketplace add fanchengchen1-collab/super-director
/plugin install super-director
Option B: copy the folders under skills/ into ~/.claude/skills/ and restart Claude Code.
Recommended runtimes (ranked by experience):
| Runtime | How | Experience |
|---|---|---|
| Claude Code (best) | plugin install, skills auto-trigger | full experience: just talk, routing runs itself |
| Codex | every skill ships an agents/openai.yaml adapter |
skills recognized, workflow manually guided |
| Kimi (K2 Agent) | feed it dist/超级导演系统_全量合集.md (400KB single file) |
full knowledge base in pipeline order, one long-context meal |
| Any other AI (ChatGPT / Gemini / web chats) | feed it dist/超级导演系统_单文件执行版.md |
distilled single file: execution protocol + 5 gated stages + all templates inlined, zero external-file dependency |
Why dist/ exists: the skill edition is a lazy-loading architecture (the routing table reads files on demand) — only Claude Code's skill mechanics guarantee that actually happens. Other AIs won't voluntarily read a multi-file package.
dist/is the eager-loaded build artifact: the whole chain compiled into one file, each stage gated by a mandatory checklist any AI can follow. Re-build after updates withtools/build_bundle.ps1.
Step 2 · Build your project's style bible (once per project, 10–30 min)
Say to Claude:
"Build a style bible for my project «Title» using the 7-step method. Genre: ____, format: ____ (vertical short drama / 16:9). Follow the structure of the example style bible."
You get: render-domain declaration, a lifeline sentence, visual roots, a hex-locked color recipe, a differentiating signature, and a zone table — every later output grows from this bible, which is what keeps 60 episodes looking like one show.
Step 3 · Run an episode
"Here is the EP01 script (paste / attach). Run the 4-step delivery: director analysis and all blocking diagrams first, then scene by scene the shot list and Six-Block prompts. Use the bible we just built."
Big episodes deliver in rounds by design — you can steer between rounds.
Step 4 · Generate
Follow the image-first discipline: generate each shot's first frame as a still → approve it (likeness, light) → then image-to-video. Character consistency comes from verbatim identity blocks + reference-image face lock — full flow in the production handbook.
Step 5 · Something looks wrong?
"This segment looks AI-generated — the character floats on the background / motion is stiff / it's too clean. Diagnose and fix the prompt."
Claude applies the three de-AI fixes and returns a corrected prompt — change one thing, test one thing.
What the Output Looks Like
"Video Segment P3" (shots S3-01 to S3-02, total 7s)
[Core Style & Tone]
Chinese wuxia + killing intent at the door of a snowbound inn + Northern-Song
snow-forest aesthetics + immersive atmosphere + cinematic camera language
+ live-action cinematic realism, physically-grounded light + 9:16 vertical composition
[Visual Texture Parameters]
Aged counter wood with hand-worn patina, chipped coarse ceramic bowls, snow grains
blown in through the door; hearth-orange firelight as the frame's ONLY warm anchor
(source = north-wall stove, falling off southward, near-bright far-dark) + indigo
snow-night cold base + contrast ratio 6:1 + visible breath + grounded contact
shadows, evoking the mood of "Brotherhood of Blades"
[Character/Subject Setup]
The innkeeper: about thirty, coarse cloth shirt and oil-stained apron, wiping a bowl
with slow steady hands, eyes lowered, mild expression; Bounty leader: cloaked, snow
on his shoulders, hand resting on his sword hilt. Keep facial structure, hairstyle
and wardrobe unchanged; same characters throughout; faces clear, no morphing
[Shot-by-Shot Script]
Scene master setup: night, snowstorm inn hall, stove fire as key light, 9:16 vertical
0-4s [S3-01]: medium shot, locked camera, the door bursts open, the cloaked leader
steps in trailing snow, wind pours in and every oil lamp flame dips at once,
(door hinge groan | storm howl | the hall goes dead silent)
4-7s [S3-02]: close-up, locked camera, behind the counter the innkeeper's wiping
hand never pauses — he sets the bowl down gently, folds the cloth flat,
(soft rasp of cloth on ceramic | the storm muffled by the door)
⚡ Shot-size alternation: MS-CU ✅
⚡ Motion-energy match: motion → stillness (deliberate hard-stop shape) ✅
⚡ End state: innkeeper's hands rest on the folded cloth, eyes lifting →
next segment starts on the lifted gaze
[Technical & Output Specs]
4K, 30fps, 9:16, duration 7s, camera: S3-01 locked / S3-02 locked
[Negative Prompts]
avoid: horizontal composition, background music, soundtrack, cartoon look, plastic
skin, studio-portrait lighting, uniform directionless lighting, foot sliding,
factory-new materials
Why It's Different
- L1/L2 separation — "how cinema works" (permanent law) is strictly separated from "what AI can do today" (temporary constraints). Ten model generations from now, the craft layer won't change a word. Mixed-up prompt libraries die at every model upgrade.
- Blocking is drawn before shots are broken — a text-based overhead map (positions, paths, cameras, lights, axis) precedes the shot list, so axis jumps, unmotivated light and spatial amnesia die on paper. Nobody else in this category does this.
- Three orthogonal render domains — live-action, 2D anime and 3D CG each get their own lighting law; you set the domain switch before anything else, and the rules never bleed.
- Emotion before technique — every shot first answers "what should the audience feel right now." This is Iron Rule #1, and the reason the output doesn't read like AI-flavored templates.
Open vs Pro
Open edition = the full methodology + a workable production line: all craft & aesthetics knowledge, the blocking-diagram bible, and the production handbook (universal red lines / de-AI fixes / image-first consistency / ten hard rules / pre-delivery checklist). Follow it and you ship polished films.
Pro edition = the industrial line: per-model quirk & red-line libraries with tested failure casebooks, a 6-dimension footage QA scorer with auto-regenerate thresholds, a facial performance library (40 emotions × 3 intensities + FACS anti-face-drift), a 5-agent crew pipeline with dual QA rejection, full first-frame anchoring & character asset ledgers, post-production SOP, and the evolution engine. In one line: open gets you a great film; Pro gets you great films at scale, repeatably. In-file references to those module numbers are deliberate separation, not dead links.
FAQ
Q: Which video models? The red lines are model-agnostic (one move per shot / no lens numbers / 5–15s / detailed light). English prompts target Kling, Veo, Sora, Runway; Chinese prompts target Seedance/Jimeng and Hailuo. Use cinema-director-en for English output.
Q: Do I need Claude Code? No. Preference order: Claude Code (auto-triggering) > Codex (openai.yaml adapters included) > Kimi K2 Agent (mount as knowledge base). Any file-reading AI chat works — see "Recommended runtimes" above.
Q: The deep files are in Chinese — is that a problem? No. Use cinema-director-en: interaction and output are fully English; Claude reads the Chinese knowledge base natively, invisibly to you.
Q: Commercial use? Making your own films with it: yes. Selling this content as courses/paid material: no (see License).
License
CC BY-NC-ND 4.0 — free to learn from, use, and share with attribution; no commercial redistribution (including paid courses), no derivative redistribution. For commercial licensing, open an issue.
No comments yet
Be the first to share your take.