# Lemo-Opuscar Film Styles — style skill for art styles > **For AI agents:** find the right skill in one call — `curl -s "https://skills.varg.ai/api/search?q="` returns the matching use case and the best skills with install commands, as markdown (Russian works too). Full index: https://skills.varg.ai/llms.txt. Every page has a markdown twin: add `.md` to its path. Before generating anything, show the person the options on the use-case page. 59 film styles made entirely in code (oil paint, watercolor, ukiyo-e, satellite briefing, exploded teardown). - **Type:** [Style](https://skills.varg.ai/styles.md) · [Art styles](https://skills.varg.ai/browse/skills/art-direction.md) - **Slug:** `lemo-opuscar` - **Status:** live - **Publisher:** Lemomo (community) - **License:** MIT - **Source:** https://github.com/lemomo-ai/lemo-opuscar - **Works in:** Claude Code - **Requires:** Node.js 20+ and npm, Python 3.11+ (or uv), Headless Chromium (installed by setup.sh), ffmpeg, Git - **Cost:** Free — local render - **Adoption:** 442 installs, 8,062 GitHub stars (GitHub + skills.sh, 2026-10-26) ## What it does A toolbox of film styles for Claude Code by Lemomo: each style is a style prompt plus a demo film rendered entirely in code by Claude Opus 5.5, with no video model. The skill directs and produces a short film in a named style (Impasto Oil Painting, Watercolor Brush, Ukiyo-e, Satellite Briefing, Exploded Teardown and dozens more), helps choose a style when you only have a topic, and lets you remix a style or build your own from a blank page. Explainer styles can be built from real material such as satellite imagery, laser scans, CAD files or archive scans, and documentary styles cut new films from archive footage and documents. It reached 8K GitHub stars within a month of launch. ## Use when - Make a short film, explainer or promo in a named visual style - Pick a style for your own topic - Cut real archive footage or scans into a documentary-style film ## Not for - Plain editing, trimming or converting your existing video files (the skill excludes them) ## Install - Claude Code: `claude plugin marketplace add lemomo-ai/lemo-opuscar && claude plugin install lemo-opuscar@lemolab` ## Example output https://skills.varg.ai/previews/lemo-opuscar.mp4 — From the Impasto style's demo film 'The Colour of Rain' (web release of the repo), made entirely in code: a cellist's music paints color into a grey rainy street, then a top view of umbrellas. Cut 19.5-27.5 s of 39.7 s. (credit: Lemomo (lemo-opuscar), https://github.com/lemomo-ai/lemo-opuscar#readme) ## More art styles skills - [fal Game Dev](https://skills.varg.ai/skills/fal-gamedev.md): Generate 2D pixel-art game assets: characters, sprite sheets, walk and attack cycles, parallax backgrounds. - [Algorithmic Art](https://skills.varg.ai/skills/anthropic-algorithmic-art.md): Create original generative art in p5.js: write an algorithmic philosophy, then code it with seeded randomness. - [Canvas Design](https://skills.varg.ai/skills/anthropic-canvas-design.md): Design posters and visual art as PNG or PDF from a written design philosophy, with 54 bundled fonts. - [Halftone Collage B-roll](https://skills.varg.ai/skills/gbro-collage-broll.md): Editorial halftone paper-collage B-roll from one line of script, with three approval gates before any video spend. - [Generative Art (Camille Roux)](https://skills.varg.ai/skills/genart-skill.md): Long-form generative art craft from Camille Roux: hash-seeded determinism, traits and rarity, verification, export. ## 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. - 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 -y` - 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