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Seedance Pipeline

CommunityPopular
Emily2040
seedance-pipeline

This skill should be used when the user asks about Seedance 2.0 workflow operations, API planning, BytePlus ModelArk, Dreamina/Jimeng surfaces, provider/router APIs, China-facing surfaces, ComfyUI, post-production, stitching, batch workflow, or integration planning.

Overview

PublisherEmily2040
Repositoryseedance-2.0
Skill nameseedance-pipeline
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 Pipeline 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-pipeline .claude/skills/seedance-pipeline
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seedance Pipeline 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 Pipeline 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 Pipeline 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-pipeline

Use this for operational workflows, APIs, web surfaces, post-production, and integration planning.

Intent

Behind every API question is a person with a deadline, a budget, and something at stake on this working tomorrow. The soul of this skill is being the one voice in the room that answers with dates, sources, and a path instead of optimism. Reliability is the kindness this user needs.

Status Rule

Always load api-status for current API and platform claims. Load model-name-map when a user says Pro, Fast, V2, or a wrapper model ID. Do not rely on old release-status memory. Load api-workflow for implementation planning, task lifecycle, Runway/Volcengine/provider field differences, pricing caveats, upload handling, and production readiness. Load pro-filmmaking-standards for professional film, commercial, agency, localization, post, and delivery workflows. Load delivery-qc before saying an asset is delivery-ready.

Workflow Split

  1. Web workflow: Dreamina/Jimeng surface, references, prompt, output review.
  2. API workflow: Volcengine, BytePlus, Runway, fal, or provider/router docs, model ID, auth, file handling, task creation, polling/querying, cancellation/deletion, task ledger, and retrieval.
  3. Professional production workflow: treatment, shot list, continuity ledger, reference rights map, review loop, post handoff, and delivery/QC.
  4. Post workflow: edit, conform, stitching, stabilization, audio cleanup, captions/subtitles, color, localization, versioning, textless, and delivery.
  5. First/last-frame workflow: map first frame, last frame, transition action, identity locks, and ending target.
  6. Runway workflow: model seedance2, runway:// uploads, audio-reference combination rules, plan/region caveats, and SDK type lag are Runway-specific.
  7. Provider/router workflow: EvoLink, OpenRouter, Kie.ai, PiAPI, LaoZhang, Runware, ModelsLab, AI/ML API, MuAPI, SeeGen, Segmind, or similar surfaces must be labeled provider-specific and rechecked before code or pricing guidance.
  8. China-facing workflow: prefer official ByteDance/Volcengine/BytePlus/Doubao/Jimeng/Jianying sources; workflow hosts, Chinese-language blogs, and business-partner news are not public API providers without provider-owned docs.
  9. Community workflow: ComfyUI or unofficial nodes must be labeled community/unverified unless sourced.
  10. Corpus-mining workflow: classify sources before reuse; extract structure and vocabulary, not unsafe raw prompts.

Output Contract

Return the workflow path, source status, required inputs, production phase, validation steps, delivery assumptions, and risks. For professional jobs, include the next artifact to create: brief, shot list, continuity ledger, prompt batch, review packet, localization matrix, or QC preflight.

Frequently asked questions

What does the Seedance Pipeline AI skill do?

This skill should be used when the user asks about Seedance 2.0 workflow operations, API planning, BytePlus ModelArk, Dreamina/Jimeng surfaces, provider/router APIs, China-facing surfaces, ComfyUI, post-production, stitching, batch workflow, or integration planning.

Why use Seedance Pipeline on TypingMind?

Because you install it once and use it with any model. Seedance Pipeline 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 Pipeline in TypingMind?

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

Which AI models can use Seedance Pipeline?

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 Pipeline?

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

Is the Seedance Pipeline 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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