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Seedance Prompt

CommunityPopular
Emily2040
seedance-prompt

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.

Overview

PublisherEmily2040
Repositoryseedance-2.0
Skill nameseedance-prompt
Stars
7.4K
Forks
1.1K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Emily2040 on GitHub. Read the source before you install it.

Installation

Install the Seedance Prompt AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Emily2040/seedance-2.0.git /tmp/seedance-2.0
mkdir -p .claude/skills
cp -r /tmp/seedance-2.0/skills/seedance-prompt .claude/skills/seedance-prompt
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seedance Prompt in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Seedance Prompt on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Seedance Prompt is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

seedance-prompt

Before producing prompt text, a prompt-ready block, a rewrite, an example, or a compiled clip, load the Director's Read, classify the brief, and complete its canonical narrative or non-narrative record. Translate that record into visible or audible carriers and keep its internal labels out of final generation prose.

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 the Director's Read before any drafting or compression, quick-ref for the checklist, reference-workflow for multimodal references, i2v-guide for image-to-video, first-last-frame-guide for first/last-frame work, examples-by-mode when examples are useful, shot-list-continuity for multi-shot professional plans, multishot-grammar for shot-label grammar, the shots-times-seconds budget, and cut placement inside one generation, and multilingual-community-examples for Chinese/Russian/Japanese/Korean/Spanish or mixed-language prompts. When sequence state is present, load 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, run the Director's Read gate. A brief with a dramatic story turn must have all ten canonical narrative fields completed. Observation/performance without that turn and utility briefs use the two-line non-narrative intent and refusal, with no fabricated psychology. Preserve expressive movement, rhythm, or delight when requested. For narrative work, name a single intention from the read and let it choose camera, lighting, blocking, performance, and sound together. Load directing-engine when the setup needs its deeper instrument and voice logic. 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.

The Director's Read is internal planning, not prompt copy. For narrative work, compile its turn, visible suppressed behavior, and non-transferable detail into visible or audible carriers. For observation/performance or utility in the non-narrative lane, carry the requested action, rhythm, information, or sensory change without inventing those dramatic fields. Do not paste labels such as POV, power shift, hidden want, or subtext into the generation prompt, and do not ship an abstract feeling where blocking, gesture, prop use, camera endpoint, motivated light, dialogue contradiction, silence, or a sound cue can carry 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.

SlotUse forPrompt-ready pattern
SubjectThe anchor the model must track.Original ceramic perfume bottle on black acrylic, label preserved exactly
ActionThe visible change.condensation beads form and slide down the glass over five seconds
SceneOnly what is not already in references.quiet rain-lit kitchen counter, shallow depth of field
CameraOne primary move with endpoint.slow dolly-in from medium product shot to macro label detail
Light and stylePhysical light plus safe visual language.warm practical key from frame left, cool blue rim, clean commercial realism
AudioAmbient bed, SFX, dialogue, or silence.Sound: low room tone, soft glass chime on final frame
ConstraintsPreservation 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.

ModeDrafting priorityCommon mistakeRepair
T2VBuild the whole shot in compact layers.Too many events in one clip.Keep one visible beat and one endpoint.
I2VPreserve visible identity; add motion.Re-describing the image until the product or face drifts.Say preserve @Image1 exactly; add only dynamic changes.
V2VTransfer motion, camera, or timing.Copying unauthorized likeness or scene details.Use owned/licensed/authorized references and restrict transfer role.
R2VAssign separate roles to each asset.One reference asked to control identity, pose, scene, and style.Split roles or prioritize the most important role.
FLF2VMove from first frame to last frame.Treating the last frame as vague mood instead of endpoint.State @Image2 is the final visual target.
EditPreserve the source clip while changing one layer.Rewriting the whole scene and losing continuity.Say @Video1 is the source clip; change only...
ExtendContinue from accepted source footage only.Starting from a planned ending or inventing the clip state.Route to 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 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, load the Director's Read, classify the brief, and complete the correct lane record before prompt compilation. For a narrative lane, identify the single visible beat and the intention it serves, then map the read to carriers; for a non-narrative lane, keep the concrete utility intent and refuse invented drama. Next, assign reference roles before adding adjectives. Then write a compact first draft in the director formula order. Finally, run a self-check and, when loaded, the directing coherence test from 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:

  1. Mode: T2V, I2V, V2V, R2V, FLF2V, edit, or extend.
  2. Reference role map, if any.
  3. Final prompt under the verified active-surface prompt budget.
  4. Optional Chinese compressed version when useful.
  5. Shot-list or delivery note when the prompt belongs to a professional sequence.
  6. Safety or copyright note when relevant.

Before finalizing, run an anti-slop pass and remove vague quality boosters.

Frequently asked questions

What does the Seedance Prompt AI skill do?

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.

Why use Seedance Prompt on TypingMind?

Because you install it once and use it with any model. Seedance Prompt is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Seedance Prompt in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Emily2040/seedance-2.0/tree/main/skills/seedance-prompt. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Seedance Prompt?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Seedance Prompt?

As many as you like. As long as a model supports skills, you can use Seedance Prompt with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Seedance Prompt AI skill free?

Yes. It is published on GitHub by Emily2040 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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