Turn a Novel into Character-Consistent AI Drama Episodes — workflow skill for stories & short dramas
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.
ArcReel: novels or screenplays become character, scene and prop assets, storyboards, video shots and finished episodes; agent skill plus remote MCP.
- Type: Workflow · Stories & short dramas
- Slug:
novel-to-ai-drama-episodes - Status: live
- Publisher: ArcReel (community)
- Source: https://github.com/ArcReel/ArcReel
- Works in: Claude Code
What it does
ArcReel (AGPL-3.0) is a self-hosted AI video workbench for AI animated comics, novel adaptations, narrated shorts and product ads. It turns a novel, finished screenplay or product assets into characters, scenes, props, episodes, structured scripts, storyboard grids, video clips and narration, then renders the final video or exports a Jianying draft. Every stage can be run by its agent or reviewed and regenerated by hand. External agents connect through its remote MCP with the setup-arcreel-skills and video-workflow skills, and text, image, video and TTS providers are configured in one place with cost tracking.
Use when
- Adapt a web novel into an AI animated comic or drama series
- Keep characters, scenes and props consistent across shots
- Let Claude Code drive a video project through MCP
- Track model costs per generation
- Export episodes as editable Jianying drafts
Install
- Claude Code:
git clone https://github.com/ArcReel/ArcReel.git && cd ArcReel/deploy && cp .env.example .env && docker compose up -d - Any agent, with the vargai CLI:
vargai install novel-to-ai-drama-episodes
Example output
https://github.com/user-attachments/assets/fcc4ceb2-64dd-44a0-a32c-e0c00b2f9796 — example (credit: ArcReel)
More stories & short dramas skills
- fal Storytelling: Plan multi-shot stories: storyboards, shot lists, first-to-last-frame chains and continuity across scenes.
- Cat Story (Higgsfield Open-Source Short Series): Higgsfield's 64 s dreamy K-drama series about being loved by someone you've never truly seen: a white cat.
- The Dusk (Higgsfield Open-Source Drama Episode): Higgsfield's 88 s muted, grainy school drama: a pale boy's quiet warning and a guarded girl's wary silence.
- One More Time (Higgsfield Open-Source Romcom Short): A 2000s-style K-drama romcom from Higgsfield Soul: a girl secretly rewinds time on a first date, again and again.
- The New Girl (Higgsfield Open-Source J-Drama Episode): Higgsfield's 77 s J-drama school episode: Haruka's ordinary first day at a new school is about to change.
- Shuohao Short-Drama Skills: Seven chained skills from novel to AI short drama: characters, outline, art bible, script, staging, storyboard.
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