Agent skill

Seedance Production Workflow

by LearnPrompt in LearnPrompt/awesome-seedance

Plan and carry a Seedance video from brief through references, storyboard, generation handoff, shot-level review, and targeted repair.

MITAuto-check passedMedia & Creative

Install Seedance Production Workflow

skills CLI
$ npx skills add LearnPrompt/awesome-seedance --skill seedance-production-workflow -a claude-code

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

GitHub CLI
$ gh skill install LearnPrompt/awesome-seedance seedance-production-workflow --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/LearnPrompt/awesome-seedance.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agents/skills/seedance-production-workflow .claude/skills/seedance-production-workflow && 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
seedance-production-workflow
GitHub stars
1.9k
Token cost
~1.5k tokens
SKILL.md length
762 words
Files
8 (incl. scripts, references)
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

Plan and carry a Seedance video from brief through references, storyboard, generation handoff, shot-level review, and targeted repair.

  • Works in 3 steps: Collect only missing essentials: story… → Choose the simplest control structure… → Check current model and entry-point…
  • An end-to-end Seedance production request
  • SKILL.md covers Route the project, Prepare the inputs, Generate and inspect and Finish
  • Runs Python scripts from its folder

What it does

Seedance Production Workflow is an agent skill from LearnPrompt/awesome-seedance. Plan and carry a Seedance video from brief through references, storyboard, generation handoff, shot-level review, and targeted repair. Use for an end-to-end Seedance production request; use a narrower prompt skill for a single prompt.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/deliverables.md` and `references/editable-template.md`).

It sits in Media & Creative, covering AI video generation and Comics and storyboards. It works with Seedance. The repository describes itself as: 🎬 Evidence-led Seedance 2.5 / 2.0 prompt library: 600+ cases traced to original posts, 260+ cross-model retest runs with public verdicts, 25 copy-ready templates, 50+… The licence is MIT.

When your agent uses it

  • An end-to-end Seedance production request
  • Use a narrower prompt skill for a single prompt

Example prompts

  • “/seedance-production-workflow”

Requirements

  • Python 3

Workflow steps

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

  1. Collect only missing essentials: story or product, intended viewer, duration, aspect ratio, desired look, must-have actions…
  2. Choose the simplest control structure that fits the brief
  3. Check current model and entry-point limits in provider capabilities before fixing duration, media count, resolution, or an API route. A…

What it can do on your machine

Read from SKILL.md and the folder at commit 6ce4592. 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

    Ships 2 files in scripts/ (Python), which the agent can run.

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

  • Network

    No URLs in SKILL.md.

    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

Seedance Production Workflow loads about 1.5k tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 762 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.2k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from LearnPrompt/awesome-seedance at commit 6ce4592, republished under its MIT licence (© LearnPrompt). 762 words, ~1,486 tokens.

Download SKILL.mdSave it as .claude/skills/seedance-production-workflow/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
seedance-production-workflow
description
Plan and carry a Seedance video from brief through references, storyboard, generation handoff, shot-level review, and targeted repair. Use for an end-to-end Seedance production request; use a narrower prompt skill for a single prompt.

Seedance production workflow

Produce a traceable video package, not just a polished prompt. Distinguish planned, assets-ready, submitted, generated, and reviewed states. Never call a prompt or an unrun storyboard a completed video.

This Skill coordinates production and review. For case-backed prompt structure, use the repository's timeline, reference-image identity, or storyboard grid template when it fits. Those cases support the prompt structures; they do not prove that this end-to-end workflow improves final-video quality. Treat that as a test question.

Route the project

  1. Collect only missing essentials: story or product, intended viewer, duration, aspect ratio, desired look, must-have actions, audio/dialogue, existing reference assets, target Seedance entry point, and the user's time or generation budget. Use a fictional subject for a pilot when the user has not chosen one and say so.
  2. Choose the simplest control structure that fits the brief:
    • One continuous shot: a timed action and camera plan may be enough.
    • Multi-shot with exact order or composition: shot list plus numbered storyboard grid or per-shot keyframes.
    • Identity/product-sensitive: add a master reference and an explicit inherit / do-not-inherit map.
    • Complex choreography: use authorized motion video or spatial/clay reference if the entry point supports it.
    • Longer than one generation: plan a native extension first where available; otherwise plan a segment handoff using the prior video or returned last frame, and verify the join.
  3. Check current model and entry-point limits in provider capabilities before fixing duration, media count, resolution, or an API route. A supported model capability does not prove that the user's account exposes it.

Prepare the inputs

Write brief.md, reference-map.md, plan.json, and the needed prompts in a project directory. Use the editable template to collect inputs and draft original prompts; use deliverable definitions for fields and state handoff. References need stable IDs, source/rights status, the properties they control, and properties they must not control. Do not copy a creator's complete published prompt into a new original case; cite an anchor case and adapt the structure.

For multi-shot work, each shot needs a start/end time, one visible action, a camera framing, entry state, exit state, and audio. Make the next shot start from the preceding exit state. For a threshold or object interaction, also fix the subject's side, camera side, contact point, and motion direction across the cut. Generate or request the character/product reference and storyboard; compare every panel against the written entry/exit states before sending them to Seedance. A panel that puts a person on the wrong side of a door can override a correct text prompt. If an image tool is unavailable, deliver exact image prompts and mark the images pending.

Run the scripts/validate_plan.py located beside this SKILL.md against <project>/plan.json using its absolute path. Resolve reported duration, order, or missing-reference errors before video generation. Visually check image identity and panel order as well; the script cannot judge those.

Show full SKILL.md (293 more words)Show less

Generate and inspect

Return a copy-ready Seedance prompt plus an ordered reference upload map and actual settings. Explain which image controls identity, which controls storyboard/layout, and which controls motion, style, or audio. A storyboard grid is optional for simple shots. Keep text and visual instructions consistent.

When an authorized and available video tool/API exists, submit the request, save task ID and settings in run-manifest.json, retrieve the result, and inspect it. Generation can incur credits and may upload assets: obtain authorization for the actual service, assets, and spend before that external step. Never read or publish credentials. If there is no usable video tool, give exact UI handoff instructions and mark the project assets-ready, then resume QA when the user supplies the output.

Review the actual video using the QA rubric. Record failures with shot/time, observation, and narrow repair. Use local or timestamped edits when possible; otherwise revise only the faulty reference, panel, or shot prompt. Compare against the same model/settings when assessing an improvement. Respect the agreed retry or cost limit, and report remaining failures honestly.

If a local trim or other post-processing is selected, retain the unedited model output and record the source hash, edit operation, derived file, and time offset in the run manifest. Review the delivered edit as well as the source; never present an edited preview as a direct model generation.

Finish

Deliver the video or generation handoff, input manifest, storyboard/shot list, prompt, model/settings, QA record, and provenance. Keep personal source media and credentials out of public Git. If the user later requests a case PR, verify the original public post, exact published prompt, matching media, date, creator, model, and repository submission rules. A workflow Skill PR follows a different path; see the repository's current contributing.md before editing it.

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

Files

SKILL.md and 7 other files (scripts, references) in agents/skills/seedance-production-workflow of LearnPrompt/awesome-seedance.

  • SKILL.md
  • agents/openai.yaml
  • references/deliverables.md
  • references/editable-template.md
  • references/provider-capabilities.md
  • references/qa-rubric.md
  • scripts/test_validate_plan.py
  • scripts/validate_plan.py

Open the folder on GitHubat commit 6ce4592

Compare with similar skills

Seedance Production Workflow 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.

Seedance Production Workflow compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Seedance Production Workflow this skillLearnPrompt/awesome-seedance1.9k—~1.5kAutomated safety check: PassMIT
Scroll Promo Site Builderkangarooking/kangarooking-skills662—~2.6kAutomated safety check: PassMIT
Seedance 2.0 Storyboard Promptselementsix/elementsix-skills311—~1.4kAutomated safety check: PassMIT
Character Design with genmediafal-ai-community/skills251—~1.3kAutomated safety check: PassNone
Painterly 3D2 Cinema Promptsliucongg/liucong-skills248—~1.8kAutomated safety check: PassApache-2.0
Seedance 2.5 Video PlannerAtlasCloudAI/awesome-seedance-2.5-prompts-skills232—~4.3kAutomated safety check: PassCustom licence

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Works with

Questions about Seedance Production Workflow

What does Seedance Production Workflow do?

Plan and carry a Seedance video from brief through references, storyboard, generation handoff, shot-level review, and targeted repair. Seedance Production Workflow is an agent skill from LearnPrompt/awesome-seedance. Plan and carry a Seedance video from brief through references, storyboard, generation handoff, shot-level review, and targeted repair.

When should I use Seedance Production Workflow?

Seedance Production Workflow fits situations like: an end-to-end Seedance production request; use a narrower prompt skill for a single prompt.

How do I install Seedance Production Workflow in Claude Code?

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

How do I install Seedance Production Workflow in Codex?

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

Can I use Seedance Production Workflow 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 LearnPrompt/awesome-seedance --skill seedance-production-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seedance-production-workflow, .gemini/skills/seedance-production-workflow, .github/skills/seedance-production-workflow and .opencode/skills/seedance-production-workflow in your project.

What does Seedance Production Workflow need to run?

Going by SKILL.md and its folder, Seedance Production Workflow needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Seedance Production Workflow access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Seedance Production Workflow 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Seedance Production Workflow use?

Seedance Production Workflow is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Seedance Production Workflow use?

About 1.5k tokens (SKILL.md is roughly 5.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.7k tokens, read only when the agent opens those files.

What are the alternatives to Seedance Production Workflow?

Skills that share tags, products or a category with Seedance Production Workflow: Scroll Promo Site Builder (kangarooking/kangarooking-skills, 662 stars), Seedance 2.0 Storyboard Prompts (elementsix/elementsix-skills, 311 stars), Character Design with genmedia (fal-ai-community/skills, 251 stars) and Painterly 3D2 Cinema Prompts (liucongg/liucong-skills, 248 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Seedance Production Workflow?

LearnPrompt (a GitHub user) maintains it in LearnPrompt/awesome-seedance, which has 1,911 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 9, 2026.

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