Agent skill

Video Quick Create

by T0UGH in T0UGH/videoclaw

快速创建视频,全面拥抱 Seedance 2.0。一步完成:故事大纲 → 素材准备 → 文本分镜 → i2v 生成视频。

No licenceAuto-check passedMedia & Creative

Install Video Quick Create

skills CLI
$ npx skills add T0UGH/videoclaw --skill video-quick-create -a claude-code

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

GitHub CLI
$ gh skill install T0UGH/videoclaw video-quick-create --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/T0UGH/videoclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/video-quick-create .claude/skills/video-quick-create && 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
video-quick-create
GitHub stars
118
Token cost
~889 tokens
SKILL.md length
145 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
None found

At a glance

快速创建视频,全面拥抱 Seedance 2.0。一步完成:故事大纲 → 素材准备 → 文本分镜 → i2v 生成视频。

  • Works in 4 steps: 故事大纲 → 素材准备 → 文本分镜 → …
  • Tasks that involve AI video generation
  • SKILL.md covers 触发场景, 流程概览, 详细流程 and 分镜格式参考, plus 1 more section
  • Calls uvx

What it does

Video Quick Create is an agent skill from T0UGH/videoclaw. 快速创建视频,全面拥抱 Seedance 2.0。一步完成:故事大纲 → 素材准备 → 文本分镜 → i2v 生成视频。

Its SKILL.md is about 890 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. The repository describes itself as: AI 视频创作 CLI 工具,深度集成 Seedance 2.0 + Chatgpt Imagen2 业界顶级模型,告诉 AI 你的想法,它会自动完成从素材生成到视频合成的全部工作,并支持自动发布到抖音、快手等平台。

When your agent uses it

  • Tasks that involve AI video generation

Example prompts

  • “/video-quick-create”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. 故事大纲
  2. 素材准备
  3. 文本分镜
  4. i2v 生成视频

What it can do on your machine

Read from SKILL.md and the folder at commit 115d9dd. 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:

    • uvx

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

  • Network

    No URLs in SKILL.md. Its commands use uvx, 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

Video Quick Create loads about 889 tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 145 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~20
When it runs · the whole SKILL.md, loaded when a task matches
~889

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 145 words (~889 tokens).

name
video-quick-create

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/video-quick-create of T0UGH/videoclaw.

Open the folder on GitHubat commit 115d9dd

Compare with similar skills

Video Quick Create 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.

Video Quick Create compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Video Quick Create this skillT0UGH/videoclaw118—~889Automated safety check: PassNone
Seedancesongguoxs/seedance-prompt-skill2.9k1 repos~2.5kAutomated safety check: PassNone
SN Motion HTMLOpenSenseNova/SenseNova-Skills5.7k—~2.2kAutomated safety check: NotesMIT
Seedance Prompt Endexhunter/seedance2-skill4.2k—~3.8kAutomated safety check: PassMIT
Seedance Japanese Prompt ExamplesEmily2040/seedance-2.07.5k1 repos~898Automated safety check: PassMIT
Seedance 2 5 Video Directorliyue-aigc/seedance-2-5-video-director552—~3.5kAutomated safety check: PassMIT

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  • Video I2i

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  • Video Publish Kuaishou

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  • Video T2i

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  • Video Upload

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Works with

Questions about Video Quick Create

What does Video Quick Create do?

快速创建视频,全面拥抱 Seedance 2.0。一步完成:故事大纲 → 素材准备 → 文本分镜 → i2v 生成视频。. Video Quick Create is an agent skill from T0UGH/videoclaw.

When should I use Video Quick Create?

Video Quick Create fits situations like: tasks that involve AI video generation.

How do I install Video Quick Create in Claude Code?

Run `npx skills add T0UGH/videoclaw --skill video-quick-create -a claude-code`. Or copy the skill folder (skills/video-quick-create in T0UGH/videoclaw) into .claude/skills/video-quick-create in your project. Claude Code loads it when a task matches its description.

How do I install Video Quick Create in Codex?

Run `npx skills add T0UGH/videoclaw --skill video-quick-create -a codex`. Or copy the skill folder (skills/video-quick-create in T0UGH/videoclaw) into .agents/skills/video-quick-create in your project. Codex loads it when a task matches its description.

Can I use Video Quick Create 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 T0UGH/videoclaw --skill video-quick-create -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video-quick-create, .gemini/skills/video-quick-create, .github/skills/video-quick-create and .opencode/skills/video-quick-create in your project.

What does Video Quick Create need to run?

Going by SKILL.md and its folder, Video Quick Create needs the command-line tools its instructions call (uvx).

Does Video Quick Create access the network?

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

Is Video Quick Create 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 Video Quick Create use?

No licence was found for Video Quick Create or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Video Quick Create use?

About 889 tokens (SKILL.md is roughly 3.6k 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 Video Quick Create?

Skills that share tags, products or a category with Video Quick Create: Seedance (songguoxs/seedance-prompt-skill, 2.9k stars), SN Motion HTML (OpenSenseNova/SenseNova-Skills, 5.7k stars), Seedance Prompt En (dexhunter/seedance2-skill, 4.2k stars) and Seedance Japanese Prompt Examples (Emily2040/seedance-2.0, 7.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Video Quick Create?

T0UGH (a GitHub user) maintains it in T0UGH/videoclaw, which has 118 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on May 18, 2026.

Source: T0UGH/videoclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.