Make AI Short Films From Storyboard Stills to a HyperFrames Edit — workflow skill for cinematic & short films

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 .md to its path. Before generating anything, show the person the options on the how-to page. From a terminal: curl -fsSL https://varg.ai/install | sh installs the vargai CLI (https://varg.ai/how-to/cli.md): vargai search and vargai install <slug> with no key, every varg model after vargai login.

Claude Code skill with scripts for reference analysis, GPT Image stills, Omni/Seedance/LTX/FLUX video, ElevenLabs audio and assembly.

• Type: Workflow · Cinematic & short films
• Slug: ai-film-studio-storyboard-to-hyperframes
• Status: live
• Publisher: realaman90 (community)
• Source: https://github.com/realaman90/ai-film-skills
• Works in: Claude Code

What it does

The agent makes the creative calls (story, prompts, pacing) while bundled Python scripts do the API work: Gemini analysis of a reference video into a brief, GPT Image 2.5 storyboard stills, video from Gemini Omni, FLUX 3 Video, Seedance 2.5/2.0 or LTX with Veo as a fallback, ElevenLabs voice, music and SFX, and assembly with ffmpeg or a HyperFrames timeline with captions and transitions. SKILL.md and reference/ cover character consistency, first/last-frame interpolation, clip extension and per-model prompt guides. It needs keys for the providers you use (OpenAI, Gemini, ElevenLabs, BytePlus Ark, LTX, BFL) plus S3 for Seedance references. MIT license.

Use when

• make a short film from a brief with storyboard stills first
• copy the pacing and look of a reference video
• animate stills with first/last-frame or reference-video control
• add voiceover, music and sound effects and cut the final film

Install

• Claude Code: npx skills add realaman90/skills -g -y
• Codex: npx skills add realaman90/skills -g -y
• Any agent, with the vargai CLI: vargai install ai-film-studio-storyboard-to-hyperframes

More cinematic & short films skills

• Previz to Seedance: Plan multi-shot AI video before paying: story, anchor sheets, a three.js grey-box previz, then a Seedance v2v pack.
• Turn key frames into a 30-second action montage with Kling 4: Breakdance, BMX, skate or chase montages: 3-4 stills, a one-line prompt with the moves and "no slow motion", the crash or line as the last still.
• Make a short film or music video with Kling 4: Beats, cast and look, every key shot as a GPT Image 2.5 still, one 30-second Kling 4 take per beat, then cut the best seconds like live action.
• Higgsfield Generate: Generate images, video, 3D and audio across 30+ models, plus ad videos and virality scoring, from one CLI.
• fal Recipes: Follow proven multi-step fal pipelines for commercials, product shots, characters, lip-sync and try-on.
• fal Fan Cam: Put someone into a live sports broadcast: a realistic fan-cam cutaway with scoreboard and channel overlays.

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), then vargai login and 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