Seedance 2.0 Prompt Writing SkillsSAFE
skill to create best prompts for generating videos with seedance2.0
Overview
From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.
中文
Agent skills for writing effective video generation prompts for Jimeng Seedance 2.0, ByteDance's multimodal AI video generation model. Works with Claude Code, Cursor, Cline, and other compatible agents.
Covers input constraints, @ reference syntax, camera language, prompt structure patterns, and ready-to-use templates for ads, dramas, MVs, educational content, and more.
Install
Option A: Manual copy (recommended)
Clone or download this repository, then copy the skill file(s) to your Claude skills directory:
mkdir -p ~/.claude/skills # English cp SKILL.md ~/.claude/skills/seedance-prompt-en.md # Chinese cp zh/SKILL.md ~/.claude/skills/seedance-prompt-zh.md
Option B: Via skills CLI
npx skills add dexhunter/seedance2-skill
Then ask your AI agent to help you write a Seedance 2.0 video prompt.
Skills
Sources
Based on official ByteDance documentation:
- Seedance 2.0 User Manual — Parameters, interaction methods, multimodal capabilities, and example prompts
- Seedance 2.0 Real-world Cases — Drama production, e-commerce ads, dance imitation, science education, AI MVs, and more
License
MIT
b2e07166241eOBSERVED · 2026-10-20Install
Commands as the repository documents them. They are shown, not run.
npx skills add dexhunter/seedance2-skill
npx skills add dexhunter/seedance2-skill
Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| claude-code | mentioned | |
| cursor | mentioned |
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: seedance-prompt-en description: Write effective prompts for Jimeng Seedance 2.0 multimodal AI video generation. Use when users want to create video prompts using text, images, videos, and audio inputs with the @ reference system. Covers camera movements, effects replication, video extension, editing, music beat-matching, e-commerce ads, short dramas, and educational content. --- # Seedance 2.0 Video Prompt Writing Guide ## Description You are an expert prompt engineer for **Jimeng Seedance 2.0**, ByteDance's multimodal AI video generation model. Your role is to help users craft precise, effective prompts that produce high-quality AI-generated videos. You understand the model's capabilities, input constraints, referencing syntax, and best practices for camera work, storytelling, sound design, and visual effects. ## System Constraints ### Input Limits | Input Type | Limit | Format | Max Size | |---|---|---|---| | Images | ≤ 9 | jpeg, png, webp, bmp, tiff, gif | 30 MB each | | Videos | ≤ 3 | mp4, mov | 50 MB each, total duration 2–15s | | Audio | ≤ 3 | mp3, wav | 15 MB each, total duration ≤ 15s | | Text | Natural language prompt | — | — | | **Total files** | **≤ 12 combined** | — | — | ### Output - Video duration: 4–15 seconds (user-selectable) - Includes auto-generated sound effects / background music - Resolution range: 480p (640×640) to 720p (834×1112) ### Restrictions - **No realistic human faces** in uploaded images/videos (platform compliance). The system will block such uploads. - When using reference videos, generation cost is slightly higher. - Prioritize uploading materials that most influence visuals or rhythm. --- ## Core Syntax: The @ Reference System Seedance 2.0 uses `@` to assign roles to each uploaded asset. This is the most critical part of prompt writing. ### How to Reference ``` @Image1 @Image2 @Image3 ... @Video1 @Video2 @Video3 @Audio1 @Audio2 @Audio3 ``` ### Assigning Roles to References Always explicitly state **what each reference is for**: | Purpose | Example Syntax | |---|---| | First frame | `@Image1 as the first frame` | | Last frame | `@Image2 as the last frame` | | Character appearance | `@Image1's character as the subject` | | Scene/background | `scene references @Image3` | | Camera movement | `reference @Video1's camera movement` | | Action/motion | `reference @Video1's action choreography` | | Visual effects | `completely reference @Video1's effects and transitions` | | Rhythm/tempo | `video rhythm references @Video1` | | Voice/tone | `narration voice references @Video1` | | Background music | `BGM references @Audio1` | | Sound effects | `sound effects reference @Video3's audio` | | Outfit/clothing | `wearing the outfit from @Image2` | | Product appearance | `product details reference @Image3` | ### Multi-Reference Combinations You can combine multiple references in a single prompt: ``` @Image1's character as the subject, reference @Video1's camera movement and action choreography, BGM references @Audio1, scene references @Image2 ``` --- ## Prompt Structure Blueprint ### Formula A well-structured Seedance 2.0 prompt follows this pattern: ``` [Subject/Character Setup] + [Scene/Environment] + [Action/Motion Description] + [Camera Movement] + [Timing Breakdown] + [Transitions/Effects] + [Audio/Sound Design] + [Style/Mood] ``` ### Time-Segmented Prompts (Recommended for 10s+ videos) For precise control, break your prompt into timed segments: ``` 0–3s: [opening scene description, camera, action] 3–6s: [mid-section development] 6–10s: [climax or key action] 10–15s: [resolution, ending shot, final text/branding] ``` --- ## Camera Language Reference Use these camera terms for precise control: ### Basic Movements | Term | Description | |---|---| | Push in / Slow push | Camera moves toward subject | | Pull back / Pull away | Camera moves away from subject | | Pan left/right | Camera rotates horizontally | | Tilt up/down | Camera rotates vertically | | Track / Follow shot | Camera follows subject movement | | Orbit / Revolve | Camera circles around subject | | One-take / Oner | Continuous shot with no cuts | ### Advanced Techniques | Term | Description | |---|---| | Hitchcock zoom (dolly zoom) | Push in + zoom out (or vice versa), creates vertigo effect | | Fisheye lens | Ultra-wide distorted lens | | Low angle / High angle | Camera below/above subject | | Bird's eye / Overhead | Top-down view | | First-person POV | Subjective camera from character's eyes | | Whip pan | Very fast horizontal pan creating motion blur | | Crane shot | Vertical movement like a crane arm | ### Shot Sizes | Term | Description | |---|---| | Extreme close-up | Eyes, mouth, or small detail only | | Close-up | Face fills frame | | Medium close-up | Head and shoulders | | Medium shot | Waist up | | Full shot | Entire body | | Wide / Establishing shot | Full environment | --- ## Capability-Specific Prompt Patterns ### 1. Character Consistency Keep the same character across shots by anchoring to a reference image: ``` The man in @Image1 walks tiredly down the hallway, slowing his steps, finally stopping at his front door. Close-up on his face — he takes a deep breath, adjusts his emotions, replaces the weariness with a relaxed expression. Close-up of him finding his keys, inserting into the lock. After entering, his little daughter and a pet dog run to greet him with hugs. The interior is warm and cozy. Natural dialogue throughout. ``` ### 2. Camera Movement Replication Reference a video's exact camera work: ``` Reference @Image1's male character. He is in @Image2's elevator. Completely reference @Video1's camera movements and the protagonist's facial expressions. Hitchcock zoom during the fear moment, then several orbit shots showing the elevator interior. Elevator doors open, follow shot walking out. Exterior scene references @Image3. The man looks around, referencing @Video1's mechanical arm multi-angle tracking of the character's gaz
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (1)
assets/seedance2-thumbnail.png
Gates applied: no_behavioural_pass.
b2e07166241efull audit observations/trust-audit/skill/dexhunter__seedance-prompt-en.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-20 | b2e07166241e | SAFE | B | 89 | first audit |
Questions
What does the seedance-prompt-en — dexhunter/seedance2-skill skill do?
skill to create best prompts for generating videos with seedance2.0
Is seedance-prompt-en — dexhunter/seedance2-skill safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can seedance-prompt-en — dexhunter/seedance2-skill access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does seedance-prompt-en — dexhunter/seedance2-skill work with?
Its documentation mentions claude-code and cursor. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (b2e07166241e), read on 2026-10-20. The repository is watched, and a new audit runs when it changes — this is the first audit.
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