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seedance-2-prompt-optimizerSeedance 2 提示优化器

Agent Skill

用于辅助提示词、系统指令、Agent 行为约束和工作流模板的整理。它适合让 Agent 规范任务边界、统一输出格式、拆分操作步骤或优化提示词可复用性。使用时需要保留真实业务约束,不要把示例当硬规则;涉及自动执行、外部工具或高风险操作时,应在提示词中明确确认步骤、权限边界和失败处理方式。

总安装

3,427

周安装

140

GitHub Stars

1

下载量

1,109
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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-2-prompt-optimizer(Seedance 2 提示优化器)
来源仓库:https://github.com/wfhiew/seedance-2-prompt-optimizer
安装命令:
openclaw skills install seedance-2-prompt-optimizer
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-2-prompt-optimizer

简介

用于生成或改进 Seedance 2.0 视频提示词。

  • 适合优化主题表达、镜头切换与音频同步细节。
  • 使用时需提供原始创意或现有提示作为输入。
  • 建议在正式生成前人工复核提示词合理性。seedance-2-prompt-optimizer 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 提升视频输出的叙事连贯性与视觉表现力。

SKILL.md

name
seedance-2-prompt-engineer
description
>

Seedance 2.0 Prompt Engineering Skill

Purpose

Convert a user's natural language idea into a production-ready, structured Seedance 2.0 prompt using multimodal references (images, videos, audio) and best practices derived from the official Seedance 2.0 documentation and community knowledge.


Workflow: How to Use This Skill

Step 1 — Gather context from the user

Ask 2–4 targeted questions: task type, style, aspect ratio, assets, subjects, audio/dialogue. If the user has provided enough detail, skip straight to generating the prompt.

Step 2 — Load references as needed

Always read the relevant reference file(s) before finalising the prompt:

User needReference file
Camera angles, movement, lens choicescamera-angles.md
Visual styles, art direction, aestheticsstyles.md
Common generation problems + fixescommon-issues.md
Prompt best practices, structure, modesbest-practices.md

Step 3 — Output the final prompt

Use the standard output format below. Never skip sections.


Standard Output Format

The core prompt formula (from official Seedance 2.0 documentation):

Subject + Motion + Environment (optional) + Camera/Cut (optional) + Aesthetic Description (optional) + Audio (optional)

Apply this formula per shot. Use the full structured output below:

=== SEEDANCE 2.0 PROMPT ===

Mode: [Text-Only | First-Frame | Last-Frame | All-Reference]

Assets Mapping:
- @image1: [what it controls — identity, scene, style, etc.]
- @video1: [camera language / motion reference]
- @audio1: [timbre / soundtrack pacing]
(omit lines for unused asset slots)

Subject Definitions:
- Define [2–3 stable features] in @imageN as <Subject1>.

Final Prompt:
[style descriptor], [aspect ratio], [duration]s.

Shot 1: [camera + movement] Subject + motion. Environment. Aesthetic. Audio cue.
Shot 2: [camera + transition] Subject + motion. Environment detail.
...

Dialogue (CharacterName, emotion): {spoken line}
(background music description)
<sound effect description>

Negative Constraints:
no watermark, no logo, no subtitles, no on-screen text[, add issue-specific constraints]

Generation Settings:
Duration: Xs
Aspect Ratio: [16:9 | 9:16 | 1:1]

=== KNOWN ISSUES TO WATCH ===
[List any applicable issues from references/common-issues.md with their workarounds]

Platform Limits (Seedance 2.0)

  • Images: max 9, jpeg/png/webp/bmp/tiff/gif, each < 30 MB
  • Videos: max 3, mp4/mov, total 2–15s, total < 50 MB
  • Audio: max 3, mp3/wav, total ≤ 15s, total < 15 MB
  • Generation duration: 4–15s per clip
  • Max combined inputs: 12 files

For videos longer than 15s, use multi-segment stitching (see references/best-practices.md § Multi-Segment).


Quick Reference: Task Types

TaskPrompt phrasing to use
Reference (extract style/motion)"Referencing @videoN's [camera/style/motion], generate…"
Edit (modify original)"Strictly edit @videoN, change [X] to [Y]"
Extend (continue in time)"Extend @videoN, generate…"
Extend backwards"Extend @videoN forward, generate…"
Combined"Referencing @imageN's [aspect], strictly edit @videoX, [edit details]"
⚠️ In Edit and Extend tasks, refer to the video as <videoN> — NOT reference video N. Using "reference" will cause the model to treat it as a reference task instead.

Subject Definition Rules

When referencing characters or objects across multiple shots, define them once at the top:

Define the [2–3 stable features: outfit, hair, type] in @imageN as <Subject1>.
  • Use 2–3 clear, static features (clothing, hair colour, species)
  • Each reference to the subject must repeat the subject tag — never omit it
  • Multi-subject scenes: define each separately with unique labels
  • Never use Asset IDs as substitutes for @image/@video references

Special Characters in Prompts

Content typeSymbolExample
Background music()(upbeat jazz playing in background)
Sound effects<><distant thunder>
Dialogue / TTS{}{Hello, world.} — non-English: say in Japanese {こんにちは}
On-screen captions【】【Chapter 1: Departure】
⚠️ Never use -- in prompts. Everything after it is silently ignored by the model.

IP / Moderation Safety

  • Never use franchise names, character names, or brand terms
  • Replace recognisable features with original descriptors

- ❌ Named glowing chest device from a famous armoured superhero → ✅ "crystalline energy core embedded in the chest plate" - ❌ Named red-and-gold powered armour suit → ✅ "custom exo-suit with smooth ceramic panels and an amber visor" - ❌ Named small electric creature with a lightning-bolt tail → ✅ "tiny round creature with sparking fur and a forked tail"

  • Add explicit negative constraints for any inferable IP terms
  • If rejected, escalate: rename → redesign signature features → change character type entirely

Files in This Skill

FilePurpose
SKILL.mdThis file — master instructions
camera-angles.mdFull camera language vocabulary with Seedance-specific notes
styles.mdVisual style library — descriptors, examples, camera defaults per style
best-practices.mdPrompt formula, modes, text generation, video editing, multi-segment
common-issues.mdKnown bugs, workarounds, and prompt-level fixes

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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按下载量换算1,017

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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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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