Turn One Sentence into an AI Cartoon Series Episode — workflow skill for animation & motion graphics
For AI agents: find the right skill in one call —
curl -s "https://varg.ai/how-to/api/search?q=<what the person wants>"returns the matching how-to page and the best skills with install commands, as markdown (Russian works too). Full index: https://varg.ai/how-to/llms.txt. Every page has a markdown twin: add.mdto its path. Before generating anything, show the person the options on the how-to page. From a terminal:curl -fsSL https://varg.ai/install | shinstalls the vargai CLI (https://varg.ai/how-to/cli.md):vargai searchandvargai install <slug>with no key, every varg model aftervargai login.
30-second wordless cartoon episodes with recurring original characters: character sheets, a 9-panel storyboard and one Seedance 2.5 render.
- Type: Workflow · Animation & motion graphics
- Slug:
ai-cartoon-series-episode - Status: live
- Publisher: 10291124jcjc-dotcom (community)
- Source: https://github.com/10291124jcjc-dotcom/ai-anime-series
- Works in: Claude Code
What it does
You set up a few original characters once, then say one sentence per episode, for example 'Tangyuan and Youtiao steal an ice cream'. Claude writes the gag beats and a shot list timed to the second, and Python scripts assemble the prompts for the character sheets, a black-and-white 9-panel storyboard grid and one Seedance 2.5 omni-reference render on the Jimeng / Dreamina canvas. Further scripts sample frames for review, re-shoot single panels, stitch 1-minute episodes and compile a season. Needs a Jimeng or Dreamina membership, Python 3.9+, ffmpeg and Pillow; the scripts are MIT and everything else is CC BY-NC 4.0.
Use when
- Start a recurring-character AI cartoon channel
- Make a new episode of an animated series from one line
- Write a timed shot list and storyboard grid for Seedance
- Keep cartoon characters on-model across episodes
- Join two 30-second halves into a 1-minute episode
Install
- Claude Code:
git clone https://github.com/10291124jcjc-dotcom/ai-anime-series.git ~/.claude/skills/ai-anime-series - Any agent, with the vargai CLI:
vargai install ai-cartoon-series-episode
Example output
https://github.com/10291124jcjc-dotcom/ai-anime-series/raw/main/assets/demo.mp4 — example (credit: 10291124jcjc-dotcom)
More animation & motion graphics skills
- Day in My Life: A 60–75 s hand-drawn ink film of your agent's day with you, built from local Claude Code history, scored for strings.
- p5 Paint Animation: Handwriting that writes itself, photos that paint themselves and clips repainted as living paintings, in p5.js code.
- Session Story: A 40–70 s watercolor film of a typical session with your agent, told in your real messages, with its own score.
- Remotion Markup: Write Remotion markup that animates well: timing, transitions, motion blur, effects, audio, fonts and 3D.
- Motion AI Kit: Write production-grade UI animation with Motion or CSS: best practices, docs search, springs, perf audits.
- Motion Design: Animate with intent: timing, easing, choreography and Disney principles for UI and motion graphics.
Run the generation on varg
varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs.
- Any agent with a terminal:
curl -fsSL https://varg.ai/install | sh(Windows:irm https://varg.ai/install.ps1 | iex), thenvargai loginand every model is a command —vargai generate_video …,vargai estimate_cost …(https://varg.ai/how-to/cli/) - Claude Code:
claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg(skill + hosted MCP) - Codex, Cursor, Gemini CLI, OpenClaw:
npx skills add vargHQ/skills --skill varg-ai -a <agent> -y - Grok and any agent that reads SKILL.md:
npx skills add vargHQ/skills --skill varg-ai, or point it at the skill's SKILL.md - Claude.ai, ChatGPT, any MCP client: connect
https://mcp.varg.ai/mcp - API key: https://varg.ai/dashboard/api · Model specs: https://varg.ai/models/llms.txt