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Agent Skill · 效率

seedance(Seedance 视频提示)

seedance 用于辅助视频、动画、脚本化剪辑和多媒体生成流程,适合在 OpenClaw 中需要整理视频素材、生成脚本或维护合成项目时使用。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。

seedance 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;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 1,316。

总安装 48,336周安装 2,014GitHub Stars 1下载 16,112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
1.0.0

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:seedance(Seedance 视频提示)
来源仓库:https://github.com/honeybee1130/seedance
安装命令:
openclaw skills install seedance
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 seedance

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。

用于辅助视频、动画和多媒体内容生成流程。seedance 属于效率类 Skill,可作为该场景下的辅助能力补充。适合整理视频素材、生成脚本或维护合成项目结构。遵循 Seedance 2.0 主题-动作-摄像机风格等格式规范。使用时需确认分辨率、时长及素材路径要求。涉及外部素材时应提前核对版权授权和内容审核规则。

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 seedance;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

seedance 怎么安装?

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

seedance 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。

seedance 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

seedance 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。

seedance 用的人多吗?

公开数据是累计安装 48,336 次,近一周安装 2,014 次,下载 16,112 次,GitHub 1 星。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。

seedance 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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
seedance

Seedance 视频提示 · 本页

48,3361只读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
seedance
description
Generate cinematic video prompts for Seedance 2.0 (ByteDance). Use when user asks for video prompts, Seedance prompts, AI video generation prompts, or anything related to Seedance 2.0 prompt crafting. Triggers on: seedance, video prompt, AI video, text to video prompt, seedance prompt.

Seedance 2.0 Prompt Generator

Generate production-ready prompts for ByteDance's Seedance 2.0 AI video model.

Prompt Architecture

Every prompt follows this strict order. Deviating causes drift.

Subject → Action → Camera → Style → Audio → Constraints

1. Subject (WHO/WHAT)

  • One primary subject. Multiple subjects split model attention.
  • Include: age/material, clothing, distinguishing features
  • Example: "Wooden Koda creature with glowing orange eyes, green gems on head, purple cape"

2. Action (WHAT HAPPENS)

  • Specific verb phrases, present tense
  • Describe beat by beat for complex sequences
  • One action per beat. Chain beats chronologically.
  • Example: "walks to cliff edge, pauses, turns head slowly to camera, cape billowing"

3. Camera (HOW WE SEE IT)

  • Shot size FIRST: wide / medium / close-up / extreme close-up
  • Movement SECOND: dolly-in, dolly-out, track left/right, crane up/down, pan, tilt, handheld, gimbal, locked-off
  • Angle: eye level, low angle, high angle, bird's eye, Dutch
  • Lens feel: wide (24-28mm), normal (35-50mm), telephoto (85mm+)
  • ONE verb per shot. Compound moves = separate beats: "Start: slow dolly-in. Then: gentle pan right for final 2s"

Shot Cheat Sheet:

ShotUsePair With
WideEstablish space/contextSlow dolly, locked-off
MediumSubject + context, dialogueHandheld (personal), gimbal (polished)
Close-upDetail, emotionTiny push-in, avoid pans
TrackingMovement, energyLateral follow, side profile

4. Style (THE LOOK)

  • ONE visual anchor > six adjectives
  • Lighting: key light type, time of day, practical sources
  • Color treatment: muted/saturated/monochrome/specific palette
  • Texture: film grain, clean digital, anamorphic, etc.
  • Reference format: "[film/artist/era] aesthetic"

5. Audio (WHAT WE HEAR)

  • Seedance 2.0 generates dual-channel stereo audio
  • Specify: background music genre, environmental sounds, dialogue/VO, silence
  • Audio syncs to visual action automatically
  • Example: "ambient wind, distant thunder, no music, footsteps on stone"

6. Constraints (GUARDRAILS)

  • Ban list: no text overlays, no extra characters, no snap zooms, no watermarks
  • Timing: hold frames, beat durations, total length (5s or 10s for testing, 15s max)
  • Consistency: "maintain character identity throughout", "no morphing"
  • Physics: "realistic cloth physics", "gravity-accurate"

Reference System (@Tags)

When user provides images/videos, use @tags:

  • @Image1, @Image2, etc. for uploaded images
  • @Video1, @Video2, etc. for uploaded videos
  • @Audio1, etc. for uploaded audio

Usage patterns:

  • Character identity: "@Image1 is the main character"
  • First/last frame: "@Image1 as first frame, @Image2 as last frame"
  • Motion transfer: "@Image1 performs the dance from @Video1"
  • Style reference: "match the color palette of @Image3"
  • Multi-reference: up to 9 images + 3 videos + 3 audio clips

Prompt Templates

Cinematic Scene

[Scene type] style. [Subject with details]. [Action beat 1], [action beat 2], [action beat 3].
[Camera: shot size], [movement], [angle], [lens feel].
[Lighting description], [color treatment], [texture/grain].
[Audio: music/sfx/ambience].
[Constraints: bans, timing, consistency notes].

Multi-Shot Narrative

Shot 1: [Wide/establishing]. [Scene description]. [Camera movement]. [Duration].
Shot 2: [Medium/close]. [Character action]. [Camera movement]. [Duration].
Shot 3: [Close-up/detail]. [Emotional beat]. [Camera movement]. [Duration].
[Overall style], [color grade], [audio design].
[Constraints].

Action Sequence

[Genre] action sequence. [Setup description].
Beat 1: [Action], [camera follows with movement type].
Beat 2: [Reaction/counter], [cut to shot size], [slow motion if needed].
Beat 3: [Resolution], [camera pulls to reveal].
[Style: reference film/show]. [Audio: impact sounds, score].
[Constraints: physics accuracy, no artifacts].

Negative Prompt Checklist (pick 3-5 per generation)

Visual noise: no text overlays, no watermarks, no floating UI, no lens flares Identity drift: no extra characters, no crowd, no mirrors reflecting others Camera chaos: no snap zooms, no whip pans, no Dutch angles, no jump cuts Body artifacts: no extra fingers, no deformed hands, no warped objects, no melting edges Branding: no logos, no labels, no recognizable brands Color: no neon lighting, no heavy teal/orange, no cartoon saturation Environment: no rain/fog/smoke unless stated, no confetti, no dust particles

Advanced: Clean High-Motion Technique

Learned from real-world results. These techniques produce sharp, blur-free motion even at extreme speed.

The Continuous Shot Lock

  • Declare "single continuous shot" upfront — forces temporal coherence, prevents inter-scene interpolation artifacts
  • The model treats the entire generation as one fluid motion path instead of stitched segments

Physics-Motivated Camera

  • Every camera move needs a VERB with physical motivation: dive, slingshot, whip, dart, blast
  • Never say "dynamic camera" — say WHY the camera moves (following subject, reacting to explosion, releasing into reveal)
  • Camera attached to subject ("lock-on," "staying glued") = subject stays sharp because relative motion is zero

Environmental Anchoring

  • Scatter static reference geometry throughout: walls, arches, furniture, hanging objects
  • The model needs stable background to render motion AGAINST — parallax creates perceived speed without subject blur
  • Static objects streaking past a centered subject = clean speed

Scale Progression Arc

  • Structure as Macro → Micro → Macro (wide establish → tight detail → wide reveal)
  • Gives model clear resolution targets at each stage — doesn't try to render everything at once
  • The "reveal" at the end (pulling wide after sustained close action) creates cinematic payoff

Sensory Render Instructions (Not Mood Words)

  • Replace adjectives with computable effects: "heat haze" not "hot," "grit snapping off ledge" not "dusty," "mist turning into rainbow" not "magical"
  • Each detail should be something the model can physically simulate

Rhythm Through Verbs

  • Pacing lives in action chain length, not "hold for Xs" timers
  • Quick beat: "snaps a last-inch swerve" (short clause = fast)
  • Sustained beat: "threads through hanging laundry lines and open windows in one fluid line" (long clause = flowing)
  • Climax: contrast — "sudden calm" after chaos = tension release

Reference Prompt (Proven Clean High-Motion)

Speeder chase across a cliff city (single continuous shot)
From a monumental cliffside city carved into stone, the camera dives toward a tiny streak of light ripping along a narrow ledge-road. Lock-on: a speeder hugging the wall at insane speed. The camera slingshots ahead, whips back, then drops tight to the rear thrusters: heat haze, grit snapping off the ledge, warning lights flashing. A collapsing balcony rains debris; the rider snaps a last-inch swerve under a falling arch, then threads through hanging laundry lines and open windows in one fluid line. The camera darts through the same openings, staying glued to the motion. One final bend and sudden calm: the camera blasts outward into a reveal of the city opening onto a boundless waterfall-fed valley, mist turning into rainbow.

Pro Tips

  1. High-res references — 2K/4K input images = better output. Blurry in = blurry out
  2. Test at 5s first — iterate fast, extend to 10-15s once the motion is right
  3. One change at a time — don't rewrite the whole prompt on a miss, tweak one element
  4. Creativity/Consistency sliders — 60% consistency / 40% creativity is the sweet spot
  5. Beat timing — write "hold for 2s" or "pause 1s" to control pacing
  6. Compound camera = separate beats — never jam two movements in one clause
  7. Style anchor > adjective soup — "Blade Runner 2049 aesthetic" > "cinematic dark moody neon futuristic"
  8. Environmental audio — even without dialogue, specify ambient sounds for immersion

⚠️ Content Policy Rules (CRITICAL)

Seedance is a video diffusion model with no internet access. It does not know:

  • "Otherside" — means nothing to it
  • "BAYC," "Koda," "Other Games" — proprietary names get flagged
  • Gaming/metaverse/NFT terminology — triggers content moderation
  • Crowd scenes — flagged automatically
  • Any brand, game title, or IP name

The rule: Never use brand names. Describe what you see, not what it's called.

Translation Layer — Concept → Visual Description

What you meanWhat to write in the prompt
Otherside world"alien landscape with bioluminescent terrain, floating rock formations, purple and teal crystal growths, twin moons visible through violet sky"
Otherside biome"ancient stone ruins overtaken by glowing fungal growth, rivers of liquid light flowing through cracked earth"
Otherside portal"swirling circular energy vortex of purple and gold light, crackling at the edges, suspended in midair"
Koda character"small wooden creature with bark-textured skin, glowing amber eyes in a dark hollow face, green teardrop gems across the top of its head, dark feathered collar, flowing purple cape, small dark armored clawed hands, chibi proportions"
Other Games event"large gathering of stylized 3D avatar characters in a glowing arena, spotlights, festive atmosphere" (avoid "crowd" — use "scattered figures" or "a handful of characters")
Gaming/metaverseUse: "virtual world," "digital realm," "fantastical landscape," "animated environment"

Banned Words (will trigger rejection)

  • Otherside, Yuga, BAYC, Koda, ApeCoin, NFT, metaverse, web3, blockchain, cryptocurrency
  • crowd, mob, large group, mass of people
  • Any real brand name, game title, or IP

Koda-Specific Prompts (Other Games IP)

When generating Koda content:

  • NEVER say "Koda" — describe the character visually every time
  • Use: "small wooden creature with bark-textured skin, glowing amber eyes in a dark hollow face, green teardrop gems across the top of its head, dark feathered collar, flowing purple cape, small dark armored clawed hands, chibi proportions"
  • NEVER say "Otherside" — describe the environment visually
  • Use: "alien landscape with bioluminescent terrain, floating rock formations, purple and teal crystal growths"
  • Maintain character consistency across shots
  • Always provide Honey B's Koda image as @Image1 for I2V generations (best result)
  • Test at 5s first to confirm character renders correctly before extending

Platform Access

  • Jimeng AI (即梦): jimeng.jianying.com → Video Generation → Seedance 2.0
  • Doubao App: dialogue box → Seedance 2.0 → select 2.0 model
  • Volcano Engine: experience center → Doubao-Seedance-2.0

When User Asks for a Prompt

  1. Ask what scene/concept they want (or use their description)
  2. Determine: T2V (text only), I2V (image + text), or R2V (multi-reference)
  3. Pick the right template
  4. Fill in all 6 layers (subject → constraints)
  5. Add 3-5 relevant negative constraints
  6. Output the final prompt ready to paste
  7. Suggest aspect ratio (16:9 cinematic, 9:16 social, 1:1 square)
  8. Suggest starting duration (5s test → extend)

平台分布

OpenClaw

78.49%
按下载量换算12,646

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

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