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seedance-2-ai种子 2AI

Agent Skill

seedance-2-ai 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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。

总安装

2,514

周安装

108

GitHub Stars

公开资料未说明

下载量

881
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-ai(种子 2AI)
来源仓库:https://github.com/vynbosserman65/seedance-2-ai
安装命令:
openclaw skills install seedance-2-ai
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-ai

简介

用于辅助前端页面与组件开发,集成 Seedance 视频能力。

  • 适合维护前端项目中的视频交互模块或动态生成界面。
  • 使用时需确认 API 密钥配置和环境变量设置。
  • 涉及用户上传内容时应实施内容审核与安全过滤。
  • 简化专业视频制作流程至前端友好操作方式。seedance-2-ai 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
seedance-2-ai
version
1.0.0
displayName
Seedance 2 AI — Generate Cinematic AI Videos from Text & Images
description
>
metadata
{"openclaw": {"emoji": "🎬", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "control"}}

Getting Started

Welcome to Seedance 2 AI — your shortcut to generating cinematic, motion-rich video clips from simple text descriptions or images. Tell me what scene you want to create and I'll bring it to life right now.

Try saying:

  • "Generate a slow-motion video of golden hour light sweeping across a misty mountain valley with cinematic camera pan"
  • "Create a product showcase video for a sleek black smartwatch rotating on a dark reflective surface with dramatic lighting"
  • "Use this image of a city skyline at night and animate it with light rain, moving car headlights, and subtle camera drift"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

  • Generate a UUID as client identifier
  • POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
  • The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

Turn Words and Images Into Stunning AI Video

Seedance 2 AI is a next-generation video creation skill that harnesses one of the most capable AI video models available today. Whether you're a solo content creator, a marketing team on a deadline, or a filmmaker exploring new ideas, this skill lets you generate high-fidelity, motion-rich video clips simply by describing what you want to see — or by feeding it a starting image.

Unlike basic text-to-video tools that produce choppy or generic results, Seedance 2 is built for visual coherence, smooth motion, and cinematic composition. You can generate product showcases, narrative scenes, abstract visuals, social media clips, and much more without touching a single video editing timeline.

The real power here is flexibility. Combine a detailed text prompt with a reference image to guide the visual style, or go purely text-driven for conceptual scenes. The model understands camera motion, lighting mood, subject behavior, and scene transitions — giving you outputs that feel intentional, not accidental.

Routing Your Seedance Requests

Each prompt or image you submit is parsed for intent — text-to-video, image-to-video, or cinematic style transfer — and dispatched to the appropriate Seedance 2 AI generation pipeline automatically.

User says...ActionSkip SSE?
"export" / "导出" / "download" / "send me the video"→ §3.5 Export
"credits" / "积分" / "balance" / "余额"→ §3.3 Credits
"status" / "状态" / "show tracks"→ §3.4 State
"upload" / "上传" / user sends file→ §3.2 Upload
Everything else (generate, edit, add BGM…)→ §3.1 SSE

Seedance 2 API Reference

Seedance 2 AI processes all generation jobs on ByteDance's cloud inference cluster, meaning your text prompts and reference images are sent securely to remote diffusion models for rendering — local compute is never required. Generation times vary based on resolution, motion complexity, and current queue load.

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: seedance-2-ai
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else unknown)

All requests must include: Authorization: Bearer <NEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"<lang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/<sid> — file: multipart -F "files=@/path", or URL: {"urls":["<url>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/<sid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/<id> every 30s until status = completed. Download URL at output.url.

Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

SSE Event Handling

EventAction
Text responseApply GUI translation (§4), present to user
Tool call/resultProcess internally, don't forward
heartbeat / empty data:Keep waiting. Every 2 min: "⏳ Still working..."
Stream closesProcess final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend saysYou do
"click [button]" / "点击"Execute via API
"open [panel]" / "打开"Query session state
"drag/drop" / "拖拽"Send edit via SSE
"preview in timeline"Show track summary
"Export button" / "导出"Execute export workflow

Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Error Handling

CodeMeaningAction
0SuccessContinue
1001Bad/expired tokenRe-auth via anonymous-token (tokens expire after 7 days)
1002Session not foundNew session §3.0
2001No creditsAnonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up credits in your account"
4001Unsupported fileShow supported formats
4002File too largeSuggest compress/trim
400Missing X-Client-IdGenerate Client-Id and retry (see §1)
402Free plan export blockedSubscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429Rate limit (1 token/client/7 days)Retry in 30s once

Use Cases

Seedance 2 AI fits naturally into a wide range of creative and commercial workflows. Social media managers use it to produce scroll-stopping short-form video content without hiring a video production team. E-commerce brands generate polished product animations directly from product photos, turning static listings into engaging visual experiences.

Filmmakers and creative directors use it for rapid concept visualization — testing a scene's mood, lighting, or composition before committing to a full shoot. Game developers and worldbuilders generate environmental or character motion references. Even educators and presenters use it to create visually compelling explainer clips that hold attention far better than static slides.

Whether you need a single atmospheric clip or a batch of varied scene concepts, Seedance 2 AI handles it with consistent visual quality across genres and styles.

Performance Notes

Seedance 2 AI generates video clips that are optimized for quality and motion coherence, but generation time will vary depending on the complexity of your prompt and the length of the output clip. Highly detailed scenes with multiple moving subjects or intricate lighting may take slightly longer to render than simple single-subject clips.

For the sharpest results, use high-resolution reference images when doing image-to-video generation — low-resolution or heavily compressed inputs can reduce output clarity. Text prompts benefit from specificity: named visual styles, lighting descriptors, and explicit motion cues consistently outperform vague or abstract instructions.

If your first output isn't quite right, small prompt adjustments — changing a lighting descriptor, swapping a camera motion term, or adding a mood word — can meaningfully shift the result. Think of it as iterative directing rather than a single-shot process.

Quick Start Guide

Getting your first Seedance 2 AI video is straightforward. Start by writing a clear, descriptive prompt — include subject, setting, lighting, mood, and any camera behavior you want (e.g., 'slow push-in', 'aerial drift', 'static wide shot'). The more specific your description, the more precisely the output matches your vision.

If you have a reference image, attach it alongside your prompt. Seedance 2 will use it as a visual anchor, preserving key elements like color palette, subject appearance, or composition while adding motion and life to the scene.

For best results, avoid vague prompts like 'make a cool video.' Instead, try something like: 'A barista pouring latte art in slow motion, warm café lighting, shallow depth of field, gentle steam rising.' Treat your prompt like a mini director's note — describe what the camera sees, not just what exists in the scene.

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能力 5

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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。

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