Token导航 LogoToken导航

Agent Skill · 效率

cinematic-storyboard-generator(电影故事板生成器)

cinematic-storyboard-generator 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

cinematic-storyboard-generator 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 20,079。

总安装 1,722周安装 69GitHub Stars 公开资料未说明下载 558核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.1

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:cinematic-storyboard-generator(电影故事板生成器)
来源仓库:https://github.com/beermanzz/cinematic-storyboard-generator
安装命令:
openclaw skills install cinematic-storyboard-generator
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install cinematic-storyboard-generator

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

cinematic-storyboard-generator 生成专业的电影故事板提示。包含七个关键要素:资源引用、照明精度和材质一致性。适合影视制作团队进行前期视觉规划。cinematic-storyboard-generator 属于效率类 Skill,可作为该场景下的辅助能力补充。

通过 clawhub 安装,专为 OpenClaw 效率优化设计。建议结合具体拍摄条件调整提示词细节。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install cinematic-storyboard-generator;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

cinematic-storyboard-generator 怎么安装?

在终端执行 openclaw skills install cinematic-storyboard-generator。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

cinematic-storyboard-generator 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

cinematic-storyboard-generator 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

cinematic-storyboard-generator 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

cinematic-storyboard-generator 用的人多吗?

公开数据是累计安装 1,722 次,近一周安装 69 次,下载 558 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

cinematic-storyboard-generator 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
cinematic-storyboard-generator

电影故事板生成器 · 本页

1,722—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
cinematic-storyboard-generator
description
Generate professional, cinema-grade storyboard prompts for AI image/video generation platforms (LibTV/LibLib, 即梦, Seedance, Kling, etc.). Use when creating shot-by-shot visual prompts for short dramas, films, promotional videos, or any cinematic content. Triggers on: 写分镜, 生成分镜, 分镜提示词, storyboard, shot list, 镜头设计, 影视级提示词, 短剧分镜, AI生图提示词, AI视频提示词. Includes: seven essential elements framework, four iron rules (asset anchoring, light logic, material consistency, spatial coherence), quality checklist, scene-type-specific guidance (ancient/fantasy, modern, overseas formats), shot type reference, and transition words. Built from professional film cinematography standards — not generic prompt templates, but cinema-level methodology.

Cinematic Storyboard Generator

Generate professional, cinema-grade image prompts for AI generation platforms (LibTV/LibLib, 即梦, Seedance, etc.).

Quick Start

Every shot prompt must contain these 7 elements (in order):

日夜景 · 主体描述 · 空间坐标 · 镜头形式 · 光影设计 · 情绪落点 · 资产锚点

Example:

夜 · 男主立于城楼最高处,深褐短发金色发带,灰色对襟长袍金色云纹刺绣,拂尘横握 · 身后城墙延展,脚下士兵阵列,前景地面 · 远景 · 低角仰拍 · 固定镜头 · 侧逆光,金色月光从左侧45度打入,硬光,冷蓝#8899BB · 肃穆 · 战意凝聚 · 参考:宿迁_霸王故居_场景图.png + 定妆照_季沧海.png

Four Iron Rules

Rule 1: Asset Anchoring

  • Character description MUST reference actual costume photo (定妆照)
  • Scene description MUST reference actual scene image file
  • Never imagine what an asset looks like — if you haven't seen the photo, don't write details
  • Append asset paths at end of every prompt

Rule 2: Light Logic

  • Single main light only — never write multiple light sources
  • Direction must be specific: "侧逆光从右侧45度打入" — not "自然光"
  • Contact shadows required: "投影落地面,方向与光源一致" — characters don't float
  • Back/side lighting preferred — frontal soft light = AI feel = fake

Rule 3: Material Consistency

  • Skin: "真实皮肤纹理,无磨皮无柔光" — not "细腻白皙"
  • Clothing: "有重力垂坠感,真实褶皱,非贴图感"
  • Scene-character same rendering space: "三层可信纵深:前景地面反光 → 中景人物 → 远景建筑轮廓"

Rule 4: Spatial Coherence

  • Characters stand on ground with physically correct shadows
  • Three-layer depth: near ground reflection → middle ground character → far ground scene outline
  • Portal/doorway as spatial boundary — not VFX effect rings
  • Scale reference: character height ~1/5 of frame in wide shots

Shot Sequence Design

Step 1: Analyze the Scene

  • Read the script/description
  • Confirm emotion curve (what does the audience feel at this moment?)
  • Identify key action and turning point

Step 2: Confirm Assets First

  • View all relevant costume photos (定妆照)
  • View all relevant scene images
  • Establish main light direction based on time of day
  • Mark asset paths before writing prompts

Step 3: Build the Sequence

Write prompts one by one. Each prompt is independent and complete.

Sequence PositionPurposeShot Type
Opening (1-3)Establish atmosphere, introduce settingWide/establishing
Middle (4-N)Develop tension, reveal detailsMedium/close-up
Climax (N-2)Emotional peakClose-up/extreme close-up
Ending (last 1-2)Release, transitionWide/freeze frame

Step 4: Quality Check Each Prompt

Before finishing, verify:

  • [ ] Day/night marked in first clause
  • [ ] Character description matches costume photo
  • [ ] Scene has specific asset anchor
  • [ ] Light direction is specific (no "自然光")
  • [ ] Character has ground shadow (not floating)
  • [ ] Skin texture without retouching
  • [ ] Clothing has weight/draping
  • [ ] Three-layer depth is physically coherent
  • [ ] Shot type matches emotion
  • [ ] Asset paths annotated at end

Scene Type Reference

Ancient/Fantasy (古装/仙侠)

Light frameworks:

TimeMain LightShadowTexture
MorningSide backlight, golden #D4A574Cool blue #4A3F6BDust visible in light beams
DuskSide light, orange-red, low angleDeep orange to blue-purpleLong shadows, golden rim light
NightMoonlight, cool blue #8899BB + lantern warm orange #FF6B35Cold-warm contrastVolumetric light, mist

Common scenes:

  • Temple/mountain: Stone steps, cloud sea, ancient bells, pine trees
  • Battlefield: Yellow earth, cracked, broken banners, dust, rusty metal weapons
  • Interior: Wood structure, rammed earth walls, paper windows, bronze vessels

Modern Short Drama (现代短剧)

Light: Natural interior light, window light with side backlight preferred. Avoid frontal soft light.

Scenes: Apartment, office, street, convenience store — real environments with specific details.

Overseas Format

Style: Realism, natural color grading, no stylizing filters. Skin texture realistic-level.

Frame: 9:16 vertical (short drama format) or 16:9 horizontal (film).


Shot Type Reference

ShotUse WhenVertical Height Ratio
Extreme Wide / 全景Establishing shot, full scene~1/5 of frame
Wide / 远景Scene environment, large movement~1/4 of frame
Medium / 中景Narrative主体, character relationships~1/3 of frame
Close-up / 近景Focus on performance, expressionsChest and above
Extreme Close-up / 特写Emotion amplification, key propsSingle body part

Angle-Emotion mapping:

AngleEmotional Effect
Low angle upward / 低角仰拍Power, authority,压迫感
High angle downward / 高角俯拍Vulnerability, disadvantage
Eye level / 平视Objective, equal, confrontational
Profile / 侧面Narrative, observational
Back / 背面Mystery, leading viewer into frame

Transition Words

TypeUsageExample
Time"随月光升起..."Transition from day to night
Space"画面从...过渡到..."Scene to scene
Dissolve" ↔ ""古钟 ↔ 水面,金字浮现"
Hard cut"下一秒..."Scene switch
Match cut"场景切换至..."Cut to matching composition

Reference Files

For detailed elements checklist, see prompt-elements.md. For scene-type-specific guidance (ancient/fantasy), see scene-ancient.md.

平台分布

OpenClaw

80.03%
按下载量换算447

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills