Open-Source Lighting Previz for Directors and DPs — prompt skill for lighting
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.
Place actors, up to 6 lights, modifiers and a camera in a 3D white studio, see shadows and the lens view live, export the plan.
- Type: Prompt · Lighting
- Slug:
direct-light-lighting-previz - Status: live
- Publisher: oukeming64-tech (community)
- Source: https://github.com/oukeming64-tech/direct-light
- Works in: Claude Code
What it does
Direct Light is a browser and macOS (Tauri) sandbox: block up to five figures in an adjustable white studio, place up to six hard, soft or panel lights from a fixture library (COB, Fresnel, LED panel, RGB tube), add softboxes, grids, flags and reflectors, and watch shadows and color spill update in real time. Camera, top, side and through-the-lens views take azimuth, height and focal length, and an A/B compare shows what changed. Export a printable offline HTML plan with the lens image, top view and numbered light settings. It aims for readable communication, not physically accurate rendering; MIT.
Use when
- Plan a key, fill and rim setup before writing a lighting prompt
- See how light height, softness or color changes shadows on a subject
- Frame a shot through a virtual lens with a chosen focal length
- Share a printable lighting plan with numbered lights
Install
Not published as a standalone skill yet. Source: https://github.com/oukeming64-tech/direct-light
Example output
https://github.com/oukeming64-tech/direct-light/raw/main/docs/media/hero.gif — example (credit: oukeming64-tech)
More lighting skills
- Lighting Setups: 56 lighting setups — golden hour to chiaroscuro, rain and fog — each with a named source, direction and quality.
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