seedance-prompt
Skill0 starsChanged 3 months agoMITView on GitHub
This skill should be used when the user asks to write, improve, translate, compress, or debug a Seedance 2.0 video prompt; mentions T2V, I2V, V2V, R2V, camera direction, prompt quality, or provides reference assets for a production-ready prompt.
3 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- csfuwwc/md-skillstheir own version, first seen Nov 1, 2026
- Emily2040/seedance-2.0edited, first seen Oct 8, 2026
- LeoYeAI/seedance-skillsword for word, first seen Jul 8, 2026
Other versions3 projects use a version of this.
Word for word · 1
- LeoYeAI/seedance-skills★ 42100% same
Edited · 1
- Emily2040/seedance-2.0★ 7.6k40% same
Wrote their own version · 1
- csfuwwc/md-skills★ 4same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository33 other files it gives its agents.
- skills/real-engineering/AGENTS.mdAGENTS.md
- skills/real-engineering/CLAUDE.mdCLAUDE.md
- .backup-optimize-20260808Skill
- SKILL.mdSkill
- ai-manju-studioSkill
- seedance-antislopSkill
- seedance-audioSkill
- seedance-cameraSkill
- seedance-charactersSkill
- seedance-continuationSkill
- seedance-copyrightSkill
- seedance-examples-jaSkill
- seedance-examples-koSkill
- seedance-examples-zhSkill
- seedance-filterSkill
- seedance-interview-shortSkill
- seedance-interviewSkill
- seedance-lightingSkill
- seedance-motionSkill
- seedance-pipelineSkill
- seedance-prompt-shortSkill
- seedance-recipesSkill
- seedance-sequenceSkill
- seedance-styleSkill
- seedance-troubleshootSkill
- seedance-vfxSkill
- seedance-vocab-enSkill
- seedance-vocab-esSkill
- seedance-vocab-jaSkill
- seedance-vocab-koSkill
- seedance-vocab-ruSkill
- seedance-vocab-zhSkill
- seedance-20Skill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 86
Before finalizing, run an anti-slop pass and remove vague quality boosters.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
seedance-prompt
Build production-ready Seedance prompts from clear concepts or supplied reference assets. Treat the prompt as a short shooting brief: it must say what changes on screen, what the camera does, what the light and sound contribute, and what must stay stable. Keep final prompts under the platform prompt budget and remove filler before delivery.
Load [ref:quick-ref] for the checklist, [ref:reference-workflow] for multimodal references, [ref:i2v-guide] for image-to-video, [ref:first-last-frame-guide] for first/last-frame work, [ref:examples-by-mode] when examples are useful, [ref:shot-list-continuity] for multi-shot professional plans, [ref:multishot-grammar] for shot-label grammar, the shots-times-seconds budget, and cut placement inside one generation, and [ref:multilingual-community-examples] for Chinese/Russian/Japanese/Korean/Spanish or mixed-language prompts. When sequence state is present, load [ref:prompt-compiler] and compile only the current clip contract.
Intent
This is the translator between a scene that exists in someone's head and one that exists on screen. The user has already imagined it; the job is to lose as little as possible in transit. Success is a first generation close enough that they can react instead of explain. Each revision inherits everything the story has already decided and changes only what the reaction asked for - a draft is a conversation, not a restart.
Director Formula
Before filling slots, decide the one thing the shot is doing. Load [ref:directing-engine], read the scene, name a single intention, and let that intention choose the camera, lighting, blocking, performance, and sound together so they reinforce instead of compete. The formula below is the container for a coherent setup, not a checklist of independent decorations; if a project voice is already set, keep this shot inside it.
Use Subject + Action + Scene + Camera + Lighting/Style + Audio + Constraints. Put the subject and primary action first because early clauses set the shot hierarchy. Do not force every slot if a reference asset already shows the information; for I2V, describe only the motion, camera, timing, transformation, audio, and preservation constraints that the still image cannot show.
| Slot | Use for | Prompt-ready pattern |
| Subject | The anchor the model must track. | Original ceramic perfume bottle on black acrylic, label preserved exactly |
| Action | The visible change. | condensation beads form and slide down the glass over five seconds |
| Scene | Only what is not already in references. | quiet rain-lit kitchen counter, shallow depth of field |
| Camera | One primary move with endpoint. | slow dolly-in from medium product shot to macro label detail |
| Light and style | Physical light plus safe visual language. | warm practical key from frame left, cool blue rim, clean commercial realism |
| Audio | Ambient bed, SFX, dialogue, or silence. | Sound: low room tone, soft glass chime on final frame |
| Constraints | Preservation and exclusions. | do not alter logo, shape, label, or cap geometry |
Mode Gate
Choose the mode before drafting. T2V needs subject, action, scene, camera, light, style, and constraints because nothing is visible yet. I2V starts from @Image1 and adds only motion, time, camera, lighting transition, audio, and preservation. V2V should map @Video1 to source clip, camera move, action rhythm, blocking, edit target, or extension anchor rather than accidentally transferring identity. R2V must list every reference role and state what must not transfer. FLF2V uses @Image1 as first frame and @Image2 as last frame, then describes only the continuous transition.
| Mode | Drafting priority | Common mistake | Repair |
| T2V | Build the whole shot in compact layers. | Too many events in one clip. | Keep one visible beat and one endpoint. |
| I2V | Preserve visible identity; add motion. | Re-describing the image until the product or face drifts. | Say preserve @Image1 exactly; add only dynamic changes. |
| V2V | Transfer motion, camera, or timing. | Copying unauthorized likeness or scene details. | Use owned/licensed/authorized references and restrict transfer role. |
| R2V | Assign separate roles to each asset. | One reference asked to control identity, pose, scene, and style. | Split roles or prioritize the most important role. |
| FLF2V | Move from first frame to last frame. | Treating the last frame as vague mood instead of endpoint. | State @Image2 is the final visual target. |
| Edit | Preserve the source clip while changing one layer. | Rewriting the whole scene and losing continuity. | Say @Video1 is the source clip; change only... |
| Extend | Continue from accepted source footage only. | Starting from a planned ending or inventing the clip state. | Route to [skill:seedance-continuation] and use the observed end state. |
Sequence Boundary
The generic prompt skill must not independently invent continuation state. If the user asks to continue, extend, make part two, or use a previous clip, route to [skill:seedance-continuation] unless the accepted clip/final frame and observed end state are already present in the sequence state.
For sequence prompts, preserve project_id, clip_id, parent_clip_id, continuity locks, exact reference tags, the actual opening state, completed beat exclusions, and reserved future beats. The final prompt remains natural language and covers only the current clip.
Prompt Build Process
First, identify the single visible beat: reveal, arrival, decision, transformation, contact, pursuit, or disappearance, and name the one intention it serves. Next, assign reference roles before adding adjectives. Then write a compact first draft in the director formula order, keeping camera, light, performance, and sound aimed at that intention. Finally, run a self-check and the directing coherence test from [ref:directing-engine]: one main subject, one main action, one motivated main camera move, physically motivated lighting, performance written as a visible gesture rather than an emotion word, assigned character tags, sound intent, and no hollow boosters.
Compression Rules
When the prompt is too long, cut in this order: duplicate style adjectives, generic quality words, background details visible in references, secondary camera moves, secondary actions, and speculative emotional labels. Keep preservation constraints, action timing, and role maps. If a user requests a bilingual or mixed-language prompt, use language mixing only for clarity: reference roles, dialogue language, technical camera terms, and safe production constraints. Do not use another language to hide unsafe intent.
Output Contract
Return:
- Mode: T2V, I2V, V2V, R2V, FLF2V, edit, or extend.
- Reference role map, if any.
- Final prompt under the verified active-surface prompt budget.
- Optional Chinese compressed version when useful.
- Shot-list or delivery note when the prompt belongs to a professional sequence.
- Safety or copyright note when relevant.
Before finalizing, run an anti-slop pass and remove vague quality boosters.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

