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NeverSight/learn-skills.dev

This skill should be used when the user asks to "generate an AI video prompt", "create a cinematic video prompt", "plan AI video scenes", "build a character sheet for video", "break down a storyboard", "animate an image", "write a video generation prompt", or mentions AI filmmaking, video generation workflows, or character consistency across video clips. Provides structured filmmaking methodology for AI video tools.

Qu'est-ce que learn-skills.dev ?

learn-skills.dev is a Claude Code agent skill that this skill should be used when the user asks to "generate an AI video prompt", "create a cinematic video prompt", "plan AI video scenes", "build a character sheet for video", "break down a storyboard", "animate an image", "write a video generation prompt", or mentions AI filmmaking, video generation workflows, or character consistency across video clips. Provides structured filmmaking methodology for AI video tools.

Compatible avec~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/NeverSight/learn-skills.dev/tree/HEAD/data/skills-md/adityaraj0421/ai-cinematic-video-director-claude-skill/ai-cinematic-video-director

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Documentation

AI Cinematic Video Director

Overview

A structured filmmaking methodology for generating cinematic AI video prompts. Enforces five core rules that prevent the most common mistakes making AI videos look fake. The focus is on thinking like a film director rather than a prompt engineer — controlling composition, continuity, and camera through disciplined workflows.

When to Use

  • Generating prompts for AI video tools (Runway, Kling, Sora, Pika, etc.)
  • Planning multi-shot AI video sequences
  • Creating character sheets for consistent AI characters
  • Breaking scenes into manageable animation clips
  • Converting simple animation ideas into detailed directorial prompts

The Five Core Rules

Rule 1 — Start Frame First

Never generate video from text alone when realism is required. Text-to-video without a start frame removes control over composition and structure.

Required workflow:

  1. Generate a high-quality image first
  2. Use that image as the start frame
  3. Animate the image with a structured prompt
BAD:  "A man running down a street"

GOOD:
  Start Frame: Photorealistic image of a man running through a quiet city street at sunset
  Animation Prompt: The man continues running past the camera as the camera slowly tracks beside him

Rule 2 — Production Quality Images Only

Bad images create bad animation. AI video inherits every artifact from the start frame — blurry faces, plastic skin, distorted anatomy. If the image is flawed, the video stays flawed.

Always specify in image prompts:

  • Lighting conditions
  • Composition and camera framing
  • Clothing and environment details
  • Mood and atmosphere
  • Skin texture and material realism
Photorealistic skateboarder in a city park, golden hour lighting,
35mm lens, natural skin texture, high detail, film still composition

Rule 3 — Structured Prompting

Direct the AI like a film director. Every animation prompt must define six elements:

ElementDescription
WHOSubject identity and appearance
WHERELocation and environment
WHAT ACTIONSpecific movement or behavior
CAMERAMovement type, lens, angle
MOODTone, atmosphere, color grade
PACINGSpeed, rhythm of action
Subject:  A young man skateboarding
Location: Urban park with concrete ramps
Action:   Performs a kickflip then continues skating forward
Camera:   Handheld camera tracking beside him
Mood:     Energetic, cinematic realism
Pacing:   Medium speed, slight slow-motion on trick

Rule 4 — Character Consistency

Characters changing appearance between shots breaks realism instantly.

Create a Character Sheet:

Generate multiple angles of the character:

  • Front view, side view, back view, three-quarter view

Store fixed attributes:

  • Hair color, eye color, face shape
  • Clothing, height, build
  • Distinct features (scars, tattoos, accessories)

Reuse the same reference images across all scenes in the sequence.

Rule 5 — One Action Per Scene

Overloading scenes causes AI failures. Keep each clip focused on a single action.

BAD:  "earthquake, explosions, emotional dialogue, collapsing buildings"

GOOD:
  Scene 1 — Wide shot of explosion
  Scene 2 — Medium shot of shaking building
  Scene 3 — Close-up dialogue reaction

Edit clips together in post-production to build complexity.

Output Format

When generating AI video prompts, always return all five sections:

## Start Frame Prompt
[Detailed image generation prompt with lighting, composition, lens]

## Animation Prompt
[Specific action, movement, and behavior description]

## Camera Settings
[Movement type, lens, angle, shake level]

## Scene Structure
[Numbered scene breakdown with shot types]

## Editing Notes
[Speed ramps, cuts, transitions, audio cues]

Example Output

Start Frame Prompt: Photorealistic young man skateboarding in an urban park, golden hour lighting, cinematic composition, 35mm lens, shallow depth of field.

Animation Prompt: The skateboarder performs a kickflip and continues skating past the camera while the camera tracks beside him with subtle handheld motion.

Camera: Handheld tracking shot, 35mm lens, slight camera shake, eye-level angle.

Scene Structure:

  1. Establishing wide shot — park environment
  2. Tracking action shot — kickflip sequence
  3. Slow motion close-up — landing detail

Editing Notes: Speed ramp during the trick. Cut to close-up on landing. Ambient park audio with emphasized board sounds.

Behavior

When this skill is active, operate as:

  • An AI filmmaking director controlling composition and continuity
  • A prompt engineer structuring outputs for maximum tool compatibility
  • A cinematography advisor selecting lenses, angles, and camera movement

The goal is to maximize realism, control, and consistency in AI-generated video.

Advanced Techniques

For LLM prompt expansion, motion control workflows, and the slow-motion trick, consult references/advanced-techniques.md.

Common Mistakes

MistakeFix
Text-to-video with no start frameAlways generate image first, then animate
Low-quality or distorted start imageSpecify lighting, lens, texture in image prompt
Vague animation prompts ("cool cinematic shot")Use the six-element structure (WHO/WHERE/ACTION/CAMERA/MOOD/PACING)
Character appearance changes between shotsCreate and reuse a Character Sheet
Too many actions in one clipOne action per scene, edit together in post
Fast actions causing morph artifactsGenerate in slow motion, speed up in editing

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

NeverSight/learn-skills.dev

Use when generating or modifying Remotion video code, creating demo videos, or working with the demo-video/ directory

NeverSight/learn-skills.dev

Create AI avatar and talking head videos via inference.sh CLI. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (100+ languages, emotion steering for characters), ElevenLabs, Kokoro. Capabilities: audio-driven avatars, text-to-avatar, lipsync videos, talking head generation, virtual presenters, UGC content. Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos, UGC ads, gaming avatars, NPC dialogue. Triggers: ai avatar, talking head, lipsync, avatar video, virtual presenter, ai spokesperson, audio driven video, heygen alternative, synthesia alternative, talking avatar, lip sync, video avatar, ai presenter, digital human, ugc, ugc video, ugc ad, avatar ugc

NeverSight/learn-skills.dev

Create AI marketing videos for ads, promos, product launches, and brand content. Models: Veo, Seedance, Wan, FLUX for visuals, Kokoro for voiceover. Types: product demos, testimonials, explainers, social ads, brand videos. Use for: Facebook ads, YouTube ads, product launches, brand awareness. Triggers: marketing video, ad video, promo video, commercial, brand video, product video, explainer video, ad creative, video ad, facebook ad video, youtube ad, instagram ad, tiktok ad, promotional video, launch video

NeverSight/learn-skills.dev

Generate AI videos with Google Veo, Seedance 2.0, HappyHorse, Wan, Grok and 40+ models via inference.sh CLI. Models: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Capabilities: text-to-video, image-to-video, reference-to-video, video editing, lipsync, avatar animation, video upscaling, foley sound. Use for: social media videos, marketing content, explainer videos, product demos, AI avatars. Triggers: video generation, ai video, text to video, image to video, veo, animate image, video from image, ai animation, video generator, generate video, t2v, i2v, ai video maker, create video with ai, runway alternative, pika alternative, sora alternative, kling alternative, seedance, happyhorse

NeverSight/learn-skills.dev

ElevenLabs automatic dubbing - translate and dub audio/video into 29 languages while preserving speaker voice via inference.sh CLI. Capabilities: auto speaker detection, voice-preserving translation, video dubbing, audio localization. Use for: content localization, video translation, multilingual content, international distribution. Triggers: dubbing, dub video, translate audio, video translation, audio translation, localize content, elevenlabs dubbing, eleven labs dub, multilingual dub, voice translation, auto dub, language dub, content localization

NeverSight/learn-skills.dev

Explainer video production guide: scripting, voiceover, visuals, and assembly. Covers script formulas, pacing rules, scene planning, and multi-tool pipelines. Use for: product demos, how-it-works videos, onboarding videos, social explainers. Triggers: explainer video, how to make explainer, product video, demo video, video production, video script, animated explainer, product demo video, tutorial video, onboarding video, walkthrough video, video pipeline

NeverSight/learn-skills.dev

Still-to-video conversion guide: model selection, motion prompting, and camera movement. Covers Wan 2.5 i2v, Seedance, Fabric, Grok Video with when to use each. Use for: animating images, creating video from stills, adding motion, product animations. Triggers: image to video, i2v, animate image, still to video, add motion to image, image animation, photo to video, animate still, wan i2v, image2video, bring image to life, animate photo, motion from image

NeverSight/learn-skills.dev

Generate talking head avatar videos with Pruna P-Video-Avatar via inference.sh CLI. Turn a portrait image into a realistic speaking video with built-in TTS. 18x faster and 6x cheaper than competitors. Models: P-Video-Avatar, P-Image (for portrait generation). Capabilities: text-to-avatar, audio-driven avatars, 30 voices, 10 languages, 720p/1080p, built-in TTS, dynamic backgrounds, full-body control. Use for: AI presenters, product demos, explainer videos, virtual influencers, marketing, education, multilingual content, UGC, gaming avatars. Triggers: avatar video, talking head, ai avatar, p-video-avatar, pruna avatar, video avatar, ai presenter, digital human, virtual presenter, lipsync, talking avatar, ai spokesperson, heygen alternative, synthesia alternative, veed alternative, fabric alternative, omnihuman alternative

NeverSight/learn-skills.dev

Generate videos with Pruna P-Video and WAN models via inference.sh CLI. Models: P-Video, WAN-T2V, WAN-I2V. Capabilities: text-to-video, image-to-video, audio support, 720p/1080p, fast inference. Pruna optimizes models for speed without quality loss. Triggers: pruna video, p-video, pruna ai video, fast video generation, optimized video, wan t2v, wan i2v, economic video generation, cheap video generation, pruna text to video, pruna image to video

NeverSight/learn-skills.dev

Render videos from React/Remotion component code via inference.sh. Pass TSX code, get MP4. Supports all Remotion APIs: useCurrentFrame, useVideoConfig, spring, interpolate, AbsoluteFill, Sequence. Configurable resolution, FPS, duration, codec. Use for: programmatic video generation, animated graphics, motion design, data-driven videos, React animations to video. Triggers: remotion, render video from code, tsx to video, react video, programmatic video, remotion render, code to video, animated video, motion graphics code, react animation video

NeverSight/learn-skills.dev

Video ad creation with exact platform-specific specs for TikTok, Instagram, YouTube, Facebook, LinkedIn. Covers dimensions, duration limits, AIDA framework, and caption requirements. Use for: video ads, social media ads, paid media creative, video marketing, ad production. Triggers: video ad, social media ad, tiktok ad, instagram ad, youtube ad, facebook ad, linkedin ad, video creative, ad specs, paid media, video marketing, ad production, reels ad, stories ad, pre roll, bumper ad

NeverSight/learn-skills.dev

Best practices and techniques for writing effective AI video generation prompts. Covers: Veo, Seedance, Wan, Grok, Kling, Runway, Pika, Sora prompting strategies. Learn: shot types, camera movements, lighting, pacing, style keywords, negative prompts. Use for: improving video quality, getting consistent results, professional video prompts. Triggers: video prompt, how to prompt video, veo prompts, video generation tips, better ai video, video prompt engineering, video prompt guide, video prompt template, ai video tips, video prompt best practices, video prompt examples, cinematography prompts

NeverSight/learn-skills.dev

YouTube thumbnail design with specific dimensions, contrast rules, and mobile preview optimization. Covers safe zones, text placement, face expression psychology, and A/B testing. Use for: YouTube thumbnails, video cover images, click-through optimization. Triggers: youtube thumbnail, thumbnail design, video thumbnail, click through rate, ctr optimization, youtube cover, video cover image, thumbnail maker, thumbnail tips, youtube design, video preview image

NeverSight/learn-skills.dev

Landing page conversion optimization with layout rules, hero section design, and CTA psychology. Covers above-the-fold formula, social proof placement, mobile design, and F-pattern reading. Use for: startup landing pages, product pages, SaaS marketing, conversion optimization. Triggers: landing page, hero section, above the fold, conversion optimization, landing page design, cta button, hero image, landing page layout, saas landing page, product page design, conversion rate, landing page best practices

NeverSight/learn-skills.dev

Configure and use the hosted YouTube Data MCP end-to-end with minimal user input. Use when users want the agent to verify Node.js and `npx`, configure MCP server config (Windows/macOS, Cursor/Codex/OpenClaw/OpenCode), request API key at setup time, run post-install capability discovery (`tools/list` and `get_patch_notes`), and then strongly recommend helper skill and Python setup for full local document and spreadsheet workflows.

NeverSight/learn-skills.dev

Creates 120fps GPU-accelerated animations with Motion.dev (Framer Motion successor) for React, Next.js, Svelte, and Astro projects. Use when user requests animation, motion, scroll effects, parallax, hero animations, gestures, drag interactions, spring physics, whileHover effects, whileInView animations, animated UI, micro-interactions, page transitions, or layout animations. Generates production TypeScript/JSX code with accessibility (prefers-reduced-motion) and performance validation (≥60fps). Supports entrance animations, gesture interactions (hover/tap/drag), scroll-based reveals, and layout transitions using spring physics and natural timing. Do NOT use for CSS-only transitions (use native CSS), static sites without JavaScript, Vue animations (use motion-v variant instead), or SVG/Canvas complex animations (GSAP better suited).

NeverSight/learn-skills.dev

Static artifact craft skill for self-contained HTML/CSS/JS documents: docs, sheets, dashboards, explainers, slides, tools, and landing pages. Use when the user asks for a durable, openable, shareable web deliverable they'll keep or hand off — a report, a dashboard, a slide deck, a data table, a page. Local folder first, temporary public link via tunnel (localhost.run), optional durable publish to Surge, GitHub Pages, or Cloudflare. Not for quick look renders, inline snippets, or throwaway scratch. Not for SPA frameworks, backend APIs, database apps, or production product UI.

NeverSight/learn-skills.dev

FFmpeg commands for video/audio conversion, trimming, compression, and processing. Use when user mentions "ffmpeg", "convert video", "compress video", "extract audio", "trim video", "gif from video", "video codec", "transcode", "screen recording", "merge videos", "video to mp4", "reduce file size", or any media processing task.

NeverSight/learn-skills.dev

Vim keybindings, motions, text objects, and operators for efficient text editing. Use when user asks about "vim commands", "vim motions", "text objects", "vim keybindings", "vim cheat sheet", "learn vim", "vim in VS Code", or any Vim editing tasks.

NeverSight/learn-skills.dev

Grok Build ONLY. Turn a 2D character still into smooth animation sprites via image_gen/image_edit base → image_to_video (6s/10s run-in-place) → ffmpeg frames → magenta chroma-key → dense sampled sprites (strip/grid/GIF). Use when the user wants video-to-sprite, motion capture from generated video, smoother run/walk cycles from dense frames, or runs /video2dsprite. Do NOT use on Codex/Claude — only Grok Build has image_to_video. Prefer generate2dsprite for crisp pixel sheets without video.

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