seedance-2.0-prompter

Overview of seedance-2.0-prompter skill

seedance-2.0-prompter is a prompt-engineering skill for Seedance 2.0 video generation. Its main job is to turn a messy request plus multimodal assets—images, video clips, and audio—into a structured prompt with clear asset roles and recommended generation parameters. If you already know what video you want but struggle to express it in a way Seedance 2.0 can reliably execute, this skill is the practical bridge.

Who this skill is best for

This skill fits users who:

• have multiple reference assets and need them combined correctly
• want stronger Seedance 2.0 prompts than a generic “make this cinematic” request
• need help assigning each asset a role such as subject, motion, style, environment, or audio
• are building repeatable video prompt workflows rather than one-off experiments

It is especially useful for creative teams, prompt writers, and agents chaining one skill into another.

The real job-to-be-done

Most users do not need “more creative words.” They need a better prompt structure:

• what each file should control
• which visual elements should come from text versus references
• how to phrase motion, camera, and scene instructions clearly
• how to avoid conflicting references inside one Seedance 2.0 request

seedance-2.0-prompter is valuable because it is opinionated about that mapping.

What makes seedance-2.0-prompter different

The repository is small, but it contains three high-value reference files that make the skill more than a generic prompt wrapper:

• references/atomic_element_mapping.md for deciding what an asset is best used for
• references/prompt_templates.md for reusable prompt patterns
• references/seedance_syntax_guide.md for the @asset_name reference syntax

That combination matters. Many prompt helpers stop at style suggestions; this one is aimed at reference-aware, multimodal Seedance prompting.

What users care about before installing

Before using the seedance-2.0-prompter skill, the key decision is simple: do you need help with multimodal prompt construction, not just wording? If yes, this skill is likely worth installing. If you only need a short text-only creative prompt, it may be more process than you need.

How to Use seedance-2.0-prompter skill

Install seedance-2.0-prompter skill

Use the standard skills installer in your environment:

npx skills add pexoai/pexo-skills --skill seedance-2.0-prompter

After install, open the skill folder and read:

1. SKILL.md
2. references/seedance_syntax_guide.md
3. references/atomic_element_mapping.md
4. references/prompt_templates.md

That reading order gets you from “what it does” to “how it thinks” to “how to phrase outputs.”

What input seedance-2.0-prompter needs

The skill works best when you provide:

• a clear video goal
• the list of uploaded assets with exact filenames
• each asset’s intended role if you already know it
• desired style, mood, camera behavior, and motion
• any hard constraints such as product accuracy, no face changes, or specific start/end framing

A weak input is:

• “Make this cool and cinematic.”

A stronger input is:

• “Use model.png as the subject identity, run_cycle.mp4 for body motion, and neon_alley.png for environment/style. Create a 5-second cinematic medium shot with a slow push-in, rainy cyberpunk mood, realistic lighting, and no extra characters.”

How to turn a rough goal into a usable request

A reliable input format for seedance-2.0-prompter is:

1. Outcome: what should happen in the video
2. Assets: filenames and what each probably represents
3. Priority: which reference must be preserved most faithfully
4. Style and camera: shot type, movement, mood, lighting
5. Audio: whether music, voice, or SFX should guide the result
6. Constraints: what must not change

Example:

• Outcome: “Create a premium product reveal”
• Assets: shoe.png = product identity, spin.mp4 = motion reference, beat.mp3 = music feel
• Priority: “Keep product appearance accurate”
• Style and camera: “dark studio, rim lighting, slow orbit camera”
• Constraints: “no extra props, no text overlays”

This gives the skill enough signal to map assets intelligently.

How the skill likely structures the prompt

From the repository references, the skill follows a useful internal pattern:

• identify the atomic elements present in each asset
• choose the best reference method for each element
• construct one final prompt using Seedance @ syntax

In practice, that means it is trying to answer:

• Which file should define subject identity?
• Which file should control motion?
• Which file should influence aesthetic style?
• Which details are better written in plain text instead of forced through a reference?

That is the core reason to use the seedance-2.0-prompter skill instead of improvising manually.

How to use the @ reference system well

The repository’s syntax guide makes this a critical usage detail. Your filenames matter because the final prompt will reference assets directly, for example:

• @character.png
• @camera_move.mp4
• @music.mp3

Best practice:

• keep filenames simple and descriptive
• avoid ambiguous files like image1.png
• tell the skill what each file should contribute

For example, “Use @portrait.png for subject identity and @handheld_walk.mp4 only for camera movement” is much safer than attaching both files with no role description.

Best workflow for first-time usage

A practical seedance-2.0-prompter workflow:

1. Gather assets and rename them clearly.
2. Write a one-paragraph goal with subject, action, scene, and mood.
3. State which asset should dominate identity.
4. State which asset should influence motion or camera.
5. Let the skill produce the composed prompt or JSON.
6. Review the result for role conflicts before sending it to generation.

The review step matters. If one image implies a painting style while another implies photorealism, resolve that conflict before generation.

Repository files that matter most

For adoption, the most valuable files are not hidden in scripts; they are the reference docs.

SKILL.md

Read this first for scope, expected behavior, and the intended output shape.

references/atomic_element_mapping.md

Read this if you are unsure how to classify assets. It helps explain why a portrait image is better for identity while a motion clip is better for action or camera language.

references/seedance_syntax_guide.md

Read this before blaming the model for bad results. Incorrect or vague asset referencing is a common failure source.

references/prompt_templates.md

Use this when you need a starting pattern for cinematic shots, product videos, or narrative scenes.

What strong seedance-2.0-prompter usage looks like

Good usage usually includes:

• one primary subject reference
• one motion or camera reference when needed
• one environment or style reference if it adds clarity
• explicit text instructions for mood, framing, and action
• minimal overlap between asset roles

Bad usage usually piles several similar references together without deciding which one is authoritative.

When ordinary prompting is enough

Do not overuse this skill. A normal prompt may be enough if:

• you have no assets
• you only want a simple text-to-video idea
• you are exploring concepts casually rather than targeting repeatable outputs

The seedance-2.0-prompter skill earns its keep when asset mapping and prompt precision materially affect output quality.

seedance-2.0-prompter skill FAQ

Is seedance-2.0-prompter only for advanced users?

No. Beginners can use it, but they benefit most if they provide cleaner inputs than they usually would in a chat prompt. You do not need deep Seedance knowledge, but you should understand what each uploaded asset is supposed to control.

What problem does the seedance-2.0-prompter skill solve better than a normal prompt?

It helps separate identity, motion, style, camera, and audio references instead of blending them into one vague paragraph. That makes it more suitable for multimodal prompting where reference misuse is the main risk.

Does this skill generate the video itself?

No. It prepares the prompt and recommended structure for Seedance 2.0. Think of it as a prompt designer, not the rendering model.

Is seedance-2.0-prompter a good fit for text-only prompting?

Not primarily. It can still help shape a better prompt, but the repository evidence shows its strongest value is multimodal asset orchestration.

What are the main limits to know before install?

The skill does not remove the need for judgment. If your assets conflict, are low quality, or are poorly labeled, the resulting prompt can still be weak. It improves prompt construction, not source material quality.

When should I skip seedance-2.0-prompter?

Skip it when your request is simple, asset-free, or disposable. Also skip it if you want highly model-specific tuning beyond what the skill’s reference docs cover.

How to Improve seedance-2.0-prompter skill

Give each asset one clear job

The biggest quality improvement is to avoid multi-role ambiguity. Instead of saying “use this image for everything,” specify:

• identity
• style
• environment
• motion
• camera
• audio

This aligns directly with the repository’s atomic element mapping approach.

Prioritize what must stay faithful

If one thing matters most—face likeness, product shape, logo integrity, choreography—say so explicitly. The seedance-2.0-prompter skill can only optimize tradeoffs if you tell it which tradeoff wins.

Example:

• “Preserve the shoe design exactly; background style can vary.”

Improve filenames before prompting

Because Seedance syntax uses direct references like @asset_name, better filenames improve both clarity and reviewability.

Prefer:

• hero_product.png
• slow_dolly_in.mp4
• ambient_tension.mp3

Avoid:

• IMG_4421.png
• final2.mp4

Reduce conflicting references

Common failure mode: too many assets trying to define the same thing.

Examples:

• two different faces both implying subject identity
• one realistic image plus one painterly image both trying to define final look
• a motion clip and a text instruction that contradict each other

When results feel muddy, remove one reference rather than adding more text.

Add stronger camera and shot language

Users often under-specify camera behavior. The templates show why this matters. Add terms such as:

• close-up, medium shot, wide shot
• slow push-in, orbit, handheld follow, locked-off frame
• dramatic lighting, soft daylight, neon rim light

This gives seedance-2.0-prompter better material to build from than generic style adjectives alone.

Use templates as scaffolds, not as final prompts

references/prompt_templates.md is most useful as a pattern library. Start with the closest template, then replace placeholders with concrete assets, actions, and constraints. Do not leave the prompt at the generic template level if precision matters.

Iterate after the first output

If the first result is off, revise the prompt by diagnosing the failure type:

• identity drift -> strengthen subject reference priority
• wrong motion -> clarify which clip controls movement
• weak style transfer -> separate style from identity assets
• messy composition -> add shot type and layout cues
• incorrect environment -> specify whether the background comes from text or reference

That kind of iteration is much more effective than simply asking for “more cinematic.”

Build a repeatable seedance-2.0-prompter guide for your team

If your team uses this often, create a lightweight intake format:

• project goal
• asset list
• role per asset
• must-keep traits
• preferred shot/camera language
• banned outcomes

That turns seedance-2.0-prompter usage from ad hoc prompting into a repeatable production workflow.

Best improvement path if results are inconsistent

If outputs vary too much, improve in this order:

1. cleaner assets
2. clearer asset-role mapping
3. tighter prompt with explicit shot and motion language
4. fewer conflicting references
5. stronger iteration notes after the first generation

That sequence usually improves results faster than adding more descriptive prose.