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Seedance prompts

Skill fralapo/awesome-agent-skills/skills/seedance-prompts

Production-grade agent skills for Claude Code and any SKILL.md-compatible AI agent. Each skill is mined from real corpora, official docs, and books. Install as a plugin or drop into any agent.

Install
npx -y skills add fralapo/awesome-agent-skills --skill seedance-prompts

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Write production-grade prompts for ByteDance Seedance 2.0 video generation. Use when the user wants to generate videos with Seedance 2.0, needs prompt templates for cinematic/anime/commercial/UGC/short-drama/VFX styles, asks about multi-modal references (@图片/@视频/@audio), shot-by-shot timecoded storyboards, camera move vocabulary, character/scene consistency, or video extension/continuity. Triggers on keywords: seedance, seedance 2.0, 即梦, bytedance video, text-to-video prompt.

SKILL.md

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Seedance 2.0 Prompt Engineering

Seedance 2.0 is ByteDance's quad-modal video model: image + video + audio + text input. Output: up to 1080p, 4–15s, auto dubbing/scoring. Prompts are high-density storyboards, not one-line descriptions.

When to Use This Skill

  • User asks to write / improve a Seedance 2.0 prompt
  • User wants to port a shot idea into Seedance structure
  • User mentions multi-shot storyboards, camera moves (Hitchcock zoom, FPV, bullet time), character consistency across shots, video-to-video edits, or audio-driven generation
  • User requests a specific style: cinematic, anime, commercial, UGC, short-drama (竖屏), VFX

Core Prompt Anatomy

Every strong Seedance 2.0 prompt combines 5 blocks. Order is flexible but all blocks matter.

[Style]      → genre, film ref, director ref, render engine, resolution, color grade
[Duration]   → total seconds (4–15s); Seedance caps at 15s
[Scene]      → setting, time of day, weather, atmosphere
[Shot List]  → timecoded blocks ([00-05s], [05-10s], [10-15s]) with shot type,
                camera move, subject action, micro-details, dialogue cue
[Tech/Neg]   → aspect ratio, fps, lens, lighting; negatives (optional 排除: block)

Minimum viable template

Style: {genre/director ref}, {resolution}, {color grade}.
Duration: {N}s.

[00-Ts] Shot 1 ({shot type}): {camera move}. {subject} {action}.
  Details: {micro-detail}. Dialogue Cue: "{line}"
[T-2Ts] Shot 2 ...
[2T-Ns] Shot 3 ...

Tech: {aspect ratio}, {fps}, {lens}, {lighting}.

Multi-Modal Reference Syntax

Seedance accepts explicit reference tags inline. Use sparingly — one ref per asset.

TagMeaningExample
@图片1 / @Image 1Reference image 1 (identity, style, composition)参考@图片1的男人形象
@视频1 / @Video 1Reference video (camera move, action, transition)完全参考@视频1的所有运镜效果
@audio1Audio drives rhythm/BGMBGM参考@视频3中的音效

Reference chaining in a single prompt is supported — e.g. identity from image, camera from video, music from audio: 参考@图1的男人形象,他在@图2的电梯中,参考@视频1的运镜.

Three Generation Modes

ModeWhenKey idiom
Text-to-VideoNo input assetFull storyboard + style block
Image-to-VideoProduct / character / scene provided@图片1 anchors identity; describe motion only
Video-to-VideoRemix / extend / edit@视频1 anchors motion or style; describe delta (将...换成...)

Category Catalog

Detailed templates and examples for each category live in references/.

  • references/patterns.md — structural patterns + idioms mined from 195+ prompts
  • references/templates.md — fill-in templates per category (cinematic, anime, commercial, UGC, short-drama, VFX, sound, consistency, camera, extension)
  • references/camera-vocab.md — camera moves, lens, lighting, grading vocabulary
  • references/examples.md — curated working prompts with source attribution

Quick Rules

  1. Always timecode shots. [00-05s] blocks → Seedance's temporal alignment is shot-based, not descriptive.
  2. Three shots is the sweet spot for 15s. Five max. More → drift.
  3. One action per second. Don't pack; over-dense shots desynchronize.
  4. Director/film refs work. Denis Villeneuve style, Wong Kar-wai 90s Hong Kong, Hans Zimmer score → strong tonal anchors.
  5. Dialogue cues inline with lip-sync intent: Dialogue Cue: "line" (200-400ms pauses).
  6. Aspect ratio matters. 9:16 for vertical short-drama / TikTok, 2.35:1 for cinematic, 16:9 default.
  7. Negative prompts use 排除: (Chinese-native pattern) — 排除:模糊,低清,噪点,水印,文字,扭曲变形,五官崩坏.
  8. Character consistency → repeat identity anchor in each shot (同一人物, maintain consistent face/clothing/hair).
  9. For extension/continuity → end shot N with exact state, start shot N+1 from that state (pose, lighting, framing).
  10. Audio drives rhythm — if using @audio, beat-align actions (beat-synced, 与音乐节拍完全吻合).

Anti-Patterns

  • One-line descriptions → Seedance under-performs vs shot-list format
  • Mixing Chinese and English mid-sentence without commas → parser trips
  • More than 2 reference tags per shot → identity conflict
  • Abstract emotion-only prompts (no visual action) → static output
  • Over-specifying > 8 micro-details per shot → model drops some

Workflow

  1. Ask user: style, duration, assets on hand (images/videos/audio)
  2. Pick closest template from references/templates.md
  3. Fill 3-shot storyboard with timecodes
  4. Add style header + tech footer + (optional) negative block
  5. If references exist, insert @图片N / @视频N tags
  6. Output prompt in a single fenced block — user pastes into Seedance

Gives 0 of the 12 instructions most video audio skills give

Counted across 621 of the 795 authors here whose files we hold, read 2026-08-06

  • read individual rule files for detailed explanationsin 21 of 621, across 9 files
  • Use WAV PCM 16kHz mono audio formatin 13 of 621, across 4 files
  • render final videoin 13 of 621, across 6 files
  • use this skill when dealing with Remotion codein 11 of 621, across 4 files
  • save generated audio to a WAV filein 11 of 621, across 4 files
  • handle conversion errors gracefullyin 10 of 621, across 6 files
  • add captions to videos alwaysin 10 of 621, across 4 files
  • generate music from text descriptions using MusicGenin 9 of 621, across 2 files
  • do not skip pipeline layersin 9 of 621, across 3 files
  • do not make one tool do everythingin 9 of 621, across 3 files
  • never ask the user to paste their full API keyin 9 of 621, across 3 files
  • use azure document intelligence for complex pdfsin 9 of 621, across 4 files

Said here and by no other author read

  • Always timecode shots
  • Keep shot count between three and five
  • Write one action per second
  • Use director or film references
  • Place dialogue cues inline
  • Set aspect ratio deliberately

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once.

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