Turn a Plot Into Cinematic AI Video Prompts — prompt skill for prompts by model
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.
Story beats, a novel excerpt or one idea to 6-30 s acted video prompts for Seedance, Kling, MiniMax H3 and Wan, with real example clips.
- Type: Prompt · Prompts by model
- Slug:
cinematic-video-prompt-engineer - Status: live
- Publisher: CyberJ0605 (community)
- Source: https://github.com/CyberJ0605/cinematic-video-prompt-engineer-skill/tree/main/cinematic-video-prompt-engineer
- Works in: Claude Code
What it does
The skill first diagnoses what is visible in a story (event, conflict, emotional turn), then allots duration, structure, shots, performance, dialogue, sound, light and continuity before it writes a 6-30 second prompt for Seedance, Kling, MiniMax H3, Wan 3.0 or Hailuo. It has two paths: a self-contained direct-video prompt, or reference-first planning of character, set and prop images that the video prompt is then compiled against. References include 46 camera-movement modules, 25 observable emotion modules and a 9:16 adaptation guide; the repo shows four clips generated from its prompts. Instructions are in Chinese; MIT.
Use when
- Turn a story beat or novel scene into a filmable AI video prompt
- Direct a close-up emotional performance without adjective soup
- Write a multi-character dialogue scene with overlapping lines
- Plan character and set reference images before the video prompt
- Fix only the failed part of a generated clip
Install
Not published as a standalone skill yet. Source: https://github.com/CyberJ0605/cinematic-video-prompt-engineer-skill/tree/main/cinematic-video-prompt-engineer
Example output
https://github.com/CyberJ0605/cinematic-video-prompt-engineer-skill/raw/main/assets/demos/emotional-closeup.mp4 — example (credit: CyberJ0605)
More prompts by model skills
- How to prompt Kling 4 for cinematic AI video: Kling 4 without the AI-slop look: key frames from GPT Image 2.5, a short director's prompt, multi-shot with seconds, "no slow motion", and the fixes.
- fal Prompting: Prompt specific model families well: Kling, GPT Image 2 and Happy Horse guides, loaded only when needed.
- Replicate Prompt Images: Write better image prompts and edits: photographic language, lighting, text rendering, consistent characters.
- Replicate Prompt Videos: Prompt video models like a director: shots, camera motion, four audio layers, dialogue, time-coded beats.
- Video Prompting Guide: Write prompts that video models follow: shot types, camera moves and per-model tips from Veo to Sora.
- FLUX 3 Prompt Doctor: Diagnose a FLUX 3 video brief before spending: resolve missing, conflicting or schema-changing asks.
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