Agent skill

Scenario Seedance

by scenario-labs in scenario-labs/skills

A skill your agent uses when generating or editing video with Seedance models on Scenario via MCP: text-to-video, image-to-video, first and last frame anchors, reference-to-video from identity…

MITAuto-check passedMedia & Creative

Install Scenario Seedance

skills CLI
$ npx skills add scenario-labs/skills --skill scenario-seedance -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install scenario-labs/skills scenario-seedance --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/scenario-seedance .claude/skills/scenario-seedance && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
scenario-seedance
GitHub stars
946
Token cost
~3.1k tokens
SKILL.md length
1,416 words
Files
1
Skills in repo
146
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when generating or editing video with Seedance models on Scenario via MCP: text-to-video, image-to-video, first and last frame anchors, reference-to-video from identity…

  • Works in 6 steps: search with target="models",… → model_schema_get with that id: fields,… → upload_asset the product stills (see the… → …
  • Editing video with Seedance models on Scenario via MCP: text-to-video
  • SKILL.md covers Overview, Quick reference, The conditioning rule and Sound from the shot, music…, plus 3 more sections
  • Calls npx

What it does

Scenario Seedance is an agent skill from scenario-labs/skills. Use when generating or editing video with Seedance models on Scenario via MCP: text-to-video, image-to-video, first and last frame anchors, reference-to-video from identity, product, or world references, prompt-based editing, extending a clip, audio-conditioned motion or voice, shot sound without music, first-frame versus reference conditioning, or an output blocked by moderation. Keywords: Seedance 2.5 and 2.0, ByteDance, T2V, I2V, V2V, native audio, OutputVideoSensitiveContentDetected.

Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Media & Creative, covering AI video generation. It works with Seedance and Model Context Protocol. The repository describes itself as: Get production-ready images, video, audio, and 3D from any AI agent: skills that pick the right model, price before spending, and keep characters and brands consistent through… The licence is MIT.

When your agent uses it

  • Editing video with Seedance models on Scenario via MCP: text-to-video
  • First and last frame anchors
  • Reference-to-video from identity
  • World references

Example prompts

  • “/scenario-seedance”

Requirements

  • Node.js

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. search with target="models", query="seedance", public=true. Prefer the newest non-deprecated hit, e.g. model_bytedance-seedance-2-5 (a…
  2. model_schema_get with that id: fields, caps, and defaults before anything else.
  3. upload_asset the product stills (see the scenario skill) to get asset ids.
  4. model_run with that model_id, dry_run=true, and the exact parameters={"prompt": "@image1 defines the bottle and label. Slow dolly-in as…
  5. Repeat model_run with wait=false, then jobs_wait with the returned job id, re-called with pending_job_ids on timeout, never a second…
  6. asset_display the output and watch it with sound before the music goes on.

What it can do on your machine

Read from SKILL.md and the folder at commit f6f8ab7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Scenario Seedance loads about 3.1k tokens when it runs. Until then it costs about 128 tokens; SKILL.md has 1,416 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~128
When it runs · the whole SKILL.md, loaded when a task matches
~3.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from scenario-labs/skills at commit f6f8ab7, republished under its MIT licence (© scenario-labs). 1,416 words, ~3,141 tokens.

Download SKILL.mdSave it as .claude/skills/scenario-seedance/SKILL.md (or your agent's skills folder).
name
scenario-seedance
description
Use when generating or editing video with Seedance models on Scenario via MCP: text-to-video, image-to-video, first and last frame anchors, reference-to-video from identity, product, or world references, prompt-based editing, extending a clip, audio-conditioned motion or voice, shot sound without music, first-frame versus reference conditioning, or an output blocked by moderation. Keywords: Seedance 2.5 and 2.0, ByteDance, T2V, I2V, V2V, native audio, OutputVideoSensitiveContentDetected.
license
MIT

Scenario Seedance Video

Overview

Seedance, ByteDance's video family on Scenario, folds every mode below into one model that infers which from your inputs, so the conditioning you pass decides more than prompt wording. Discover it with search and treat model_schema_get as the contract: members ship side by side, agreeing on the shape and disagreeing on every number.

Connection and the core loop: see the scenario skill in this repo; model-agnostic video work: the scenario-video skill; choreography held across cuts from a storyboard: the scenario-seedance-storyboard skill. If a sibling skill named here is missing from your available skills, ask the user to install it (npx skills add scenario-labs/skills --skill <name>); unattended, proceed from tool schemas and flag the gap.

Quick reference

Mode follows from the inputs (names from the live schema):

ModeInputsBehavior
TextpromptaspectRatio honored (21:9 through 9:16)
First frameimage (+ prompt)opens on that frame; aspectRatio ignored, size follows resolution and may land only near the ratio
First + lastimage + lastFrameImagelastFrameImage is only valid alongside image
ReferencereferenceImagescarries identity and world, not the opening state
EditreferenceVideos + edit promptrequires duration: -1; output follows the source
ExtendreferenceVideos + extend promptinferred from wording: "extend @video1", what holds (character, wardrobe, light), the action that continues, no cut; geometry follows the source; duration is the footage appended and the output holds only that tail (a 10 s source with duration 15 returned 15 s of new footage at authoring time; Auto priced as the source length), so concatenate source and tail and read the delivered length off asset_get

image and the reference arrays are mutually exclusive. referenceVideos (motion conditioning) and referenceAudio (timing and energy, or a speaker's voice) combine with referenceImages; on the 2.0 line reference audio also requires one image or video reference, where 2.5 takes it alone. Reference parameters are arrays even for one asset. Prompt tags bind by array order: @image1 is referenceImages[0], likewise @video1 and @audio1, and the prompt says what each tag governs and what it leaves alone ("@image1 defines the bottle and label, nothing of the set"), for video and audio tags as much as for images. No seed, mask, or camera parameter exists: camera moves live in the prompt, one dominant move and one action per shot. Several actions go as timecoded beats ("0-2s ... 2-4s ..."), one per beat, the last ending inside duration, the shot named as one continuous take.

A reference track the prompt does not claim is easily ignored, a generated voice line most of all, so bind it to a role in words: "@audio1 is her own voice; she speaks it to camera, lips in sync" for speech, "the camera move and each action land on the beats of @audio1" for music.

duration defaults to Auto, which on 2.5 at authoring time priced a text-to-video job as the full 30 second cap (the same 480p prompt quoted about four times its 8 second price). Set the seconds the shot needs on every run; with referenceVideos, Auto follows the longest reference clip instead.

Caps are per member, so read them off model_schema_get. At authoring time 2.5 took 30 reference images, 10 videos, 10 audio, 4 to 30 seconds, up to 1080p; the 2.0, Fast, and Mini hits took 9, 3, 3, and 4 to 15, with 4k on 2.0 alone and no lastFrameImage on Mini. Price moves further than the caps do, six times across the family for one 4 second 480p job, so dry_run the same job on two members before a batch.

The conditioning rule

In reference mode, frame one anchors to the base state of the reference world, and no prompt wording overrides it. If the shot must open in a specific state, render a still of it and pass it as image; use referenceImages when only identity, world, and palette matter. Deciding this per shot before generating is worth more than any prompt tuning.

Sound from the shot, music from elsewhere

generateAudio (default true) is one switch over the whole track: it scores the shot as well as sounding it. A score written inside a shot survives no cut, since each shot invents its own key and tempo and the next one restarts them.

So run the lanes apart. Keep generateAudio: true for what the picture makes, footsteps, impacts, room tone, dialogue, each landing on frame, and name only those sounds ("diegetic sound only: heels on tile, room tone"). Never name what to leave out: "no music" is what the audio filter reads, and a track blocked with OutputAudioSensitiveContentDetected usually traces to such an exclusion, so re-run on the same model with the sound named positively before any provider switch: the filter read the wording, not the provider (see the scenario-moderation skill). Spoken lines go in quotes, sized to the clip's seconds, with the speaker named and the delivery in two or three words. Score the sequence once with a music model (see the scenario-audio skill) and lay that track over the assembled cut (see the scenario-video-assembly skill, or scenario-seedance-music-video when the song comes first): re-scoring then costs one audio run, not every shot again.

The prompt is the only lever, so listen to what comes back: when music leaks in, re-run that shot with generateAudio: false and add sound from a sound-effects or video-to-audio model.

Show full SKILL.md (534 more words)Show less

When the finished video is blocked

A failed row whose error names OutputVideoSensitiveContentDetected (often with PolicyViolation, sometimes worded as possible copyright) is the provider screening the finished render. The filter belongs to the family, so a Seedance sibling refuses the same payload and the identical retry renders it again. Handle it the way the scenario-moderation skill teaches: switch to another provider first, prompt unchanged apart from moving the @image tags to the alternative's own reference field per its schema. For recommend, text-to-video is txt2video, first-frame and reference jobs are img2video, edit and extend are video2video. Two observations at authoring time decide what comes after. A character the screen takes for existing intellectual property stays blocked whatever the wording: a studio's own well-known character failed while a lesser-known one from the same studio, prompt unchanged, passed. Weapon and harm vocabulary ("axe", "blade", "eliminated") tripped it even in a cartoon, which is where that skill's one honest rewrite belongs. When the block persists past the switch and that rewrite, on the team's own characters for example, tell the user they can write to support@scenario.com with the failed job id. Unattended, launch the switch only within the spend the task authorized; otherwise stop and report the block with the failed job id.

Worked example: a product shot from references

  1. search with target="models", query="seedance", public=true. Prefer the newest non-deprecated hit, e.g. model_bytedance-seedance-2-5 (a live hit at authoring time: re-discover each session).
  2. model_schema_get with that id: fields, caps, and defaults before anything else.
  3. upload_asset the product stills (see the scenario skill) to get asset ids.
  4. model_run with that model_id, dry_run=true, and the exact parameters={"prompt": "@image1 defines the bottle and label. Slow dolly-in as condensation beads. Diegetic sound only: droplets on glass, soft room tone. No text, no captions.", "referenceImages": ["asset_a", "asset_b"], "duration": 8, "resolution": "720p", "generateAudio": true} for the cost estimate; re-estimate after any change to duration, resolution, or references.
  5. Repeat model_run with wait=false, then jobs_wait with the returned job id, re-called with pending_job_ids on timeout, never a second model_run.
  6. asset_display the output and watch it with sound before the music goes on.

Common mistakes

  • Prompting an opening state in reference mode: it will not appear; pass it as image.
  • A bare string where the schema says array: one reference still goes as ["asset_x"].
  • Combining image with referenceImages or referenceVideos: mutually exclusive inputs.
  • Leaving duration on Auto: on 2.5 a text-to-video job priced as the 30 second cap, not the shot's length.
  • Passing a voice track beside a character reference without saying whose voice it is: the model may animate the face and ignore the track.
  • Carrying one member's caps or price to another: 30 references, 30 seconds, and 1080p are each true of one and false of the next.
  • Letting shots score themselves and then cutting them together: the music restarts at every cut.
  • Writing "no music" into an audio-enabled prompt: the exclusion trips the audio filter; describe the sound positively, or turn generateAudio off.
  • Rendering captions, prices, logos, or UI: reserve clean space and composite text in post.
  • Retrying an output moderation block on Seedance or a Seedance sibling: the filter is the family's, so switch provider first (the scenario-moderation skill).

© scenario-labs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/scenario-seedance of scenario-labs/skills.

Open the folder on GitHubat commit f6f8ab7

Compare with similar skills

Scenario Seedance next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Scenario Seedance compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scenario Seedance this skillscenario-labs/skills946—~3.1kAutomated safety check: PassMIT
Fal AI Mediaaffaan-m/ECC277k4 repos~1.9kAutomated safety check: PassMIT
Fal AI Mediaaffaan-m/ECC277k2 repos~1.2kAutomated safety check: PassMIT
Fal AI Mediaaffaan-m/ECC276k—~1.4kAutomated safety check: PassMIT
Create Video Falgooseworks-ai/goose-skills1.2k—~1.3kAutomated safety check: PassMIT
Seedance2 APIaiskillstore/marketplace433—~3.7kAutomated safety check: PassMIT

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Questions about Scenario Seedance

What does Scenario Seedance do?

A skill your agent uses when generating or editing video with Seedance models on Scenario via MCP: text-to-video, image-to-video, first and last frame anchors, reference-to-video from identity…. Scenario Seedance is an agent skill from scenario-labs/skills. Use when generating or editing video with Seedance models on Scenario via MCP: text-to-video, image-to-video, first and last frame anchors, reference-to-video from identity, product, or world references, prompt-based editing, extending a clip, audio-conditioned motion or voice, shot sound without music, first-frame versus reference conditioning, or an output blocked by moderation.

When should I use Scenario Seedance?

Scenario Seedance fits situations like: editing video with Seedance models on Scenario via MCP: text-to-video; first and last frame anchors; reference-to-video from identity; world references.

How do I install Scenario Seedance in Claude Code?

Run `npx skills add scenario-labs/skills --skill scenario-seedance -a claude-code`. Or copy the skill folder (skills/scenario-seedance in scenario-labs/skills) into .claude/skills/scenario-seedance in your project. Claude Code loads it when a task matches its description.

How do I install Scenario Seedance in Codex?

Run `npx skills add scenario-labs/skills --skill scenario-seedance -a codex`. Or copy the skill folder (skills/scenario-seedance in scenario-labs/skills) into .agents/skills/scenario-seedance in your project. Codex loads it when a task matches its description.

Can I use Scenario Seedance in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add scenario-labs/skills --skill scenario-seedance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scenario-seedance, .gemini/skills/scenario-seedance, .github/skills/scenario-seedance and .opencode/skills/scenario-seedance in your project.

What does Scenario Seedance need to run?

Going by SKILL.md and its folder, Scenario Seedance needs the command-line tools its instructions call (npx). Our summary lists: Node.js.

Does Scenario Seedance access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Scenario Seedance safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Scenario Seedance use?

Scenario Seedance is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Scenario Seedance use?

About 3.1k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Scenario Seedance?

Skills that share tags, products or a category with Scenario Seedance: Fal AI Media (affaan-m/ECC, 277k stars), Fal AI Media (affaan-m/ECC, 277k stars), Fal AI Media (affaan-m/ECC, 276k stars) and Create Video Fal (gooseworks-ai/goose-skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scenario Seedance?

scenario-labs (a GitHub organization) maintains it in scenario-labs/skills, which has 946 GitHub stars. The repository holds 146 skills in this directory. The repository was last updated on October 10, 2026.

Source: scenario-labs/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.