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Generate AI videos using Google VEO 3.1 or OpenAI Sora. Two providers for different strengths - VEO for native audio, Sora for visual quality and longer clips.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
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| name | video-generator |
| description | Generate AI videos using Google VEO 3.1 or OpenAI Sora. Two providers for different strengths - VEO for native audio, Sora for visual quality and longer clips. |
| tier | full-setup |
| setup_time | 15-20 min |
| requires | Gemini API key and/or OpenAI API key |
Generate professional short-form videos using Google VEO 3.1 (with native audio) or OpenAI Sora (high visual quality, up to 12s).
You need at least one. Both gives you maximum flexibility.
VEO (Google):
export GEMINI_API_KEY=your_gemini_key_here
Sora (OpenAI):
export OPENAI_API_KEY=your_openai_key_here
pip install google-genai requests
| Provider | Model | CLI --model | Best For |
|---|---|---|---|
| VEO | Veo 3.1 Standard | standard (default) | Quality, audio fidelity, final assets |
| VEO | Veo 3.1 Fast | fast | Drafts, iteration, quick previews |
| Sora | Sora 2 | sora-2 (default) | Visual quality, creative motion |
| Sora | Sora 2 Pro | sora-2-pro | Highest Sora quality, slower |
| Need | Use |
|---|---|
| Native synchronized audio (dialogue, SFX) | VEO - Sora has no audio |
| Longer clips (12 seconds) | Sora - VEO maxes at 8s |
| Higher visual fidelity / artistic styles | Sora - stronger on visual aesthetics |
| Fast iteration / drafts | VEO Fast - quickest turnaround |
| 4K resolution | VEO - Sora uses fixed sizes |
| Negative prompts (exclude elements) | VEO - Sora doesn't support them |
| Parameter | VEO Options | Sora Options | Default |
|---|---|---|---|
| Duration | 4, 6, or 8 seconds | 4, 8, or 12 seconds | 8s |
| Resolution | 720p, 1080p, 4K | Fixed (from aspect ratio) | 720p |
| Aspect Ratio | 16:9, 9:16 | 16:9 -> 1280x720, 9:16 -> 720x1280 | 16:9 |
| Count | 1-4 variations | 1-4 variations | 1 |
| Negative Prompt | Supported | Not supported (ignored) | none |
| Provider | Model | Cost |
|---|---|---|
| VEO | Standard | ~$0.025-0.05 per video |
| VEO | Fast | ~$0.01-0.025 per video |
| Sora | sora-2 | ~$0.10 per second of video |
| Sora | sora-2-pro | ~$0.20 per second of video |
Video generation is async - expect 11 seconds to 6 minutes depending on server load and provider. The script polls automatically and saves when ready.
--negative flag for exclusions (VEO only), not the main prompt.A man says: "Hello!" prevents subtitle artifacts. (VEO only.)Structure your prompt with cinematic language. Both VEO and Sora respond well to film terminology:
| Term | Effect |
|---|---|
| Wide shot | Shows full environment, establishes context |
| Close-up | Tight on a subject, emphasizes detail |
| Tracking shot | Camera follows subject movement |
| Dolly in/out | Camera moves toward or away from subject |
| Static shot | Locked camera, subject moves within frame |
| Slow pan | Camera rotates horizontally across scene |
| Overhead / bird's eye | Looking straight down |
| Low angle | Looking up at subject, adds drama |
Be explicit about what moves and how:
| Don't | Do |
|---|---|
| "A dog in a park" | "A golden retriever runs toward camera through tall grass, ears bouncing" |
| "City at night" | "Camera slowly dollies through a neon-lit Tokyo alley as rain puddles reflect signs" |
| "Ocean" | "A single wave forms, curls, and crashes onto wet sand in slow motion" |
| Term | Mood |
|---|---|
| Golden hour | Warm, nostalgic, cinematic |
| Overcast | Soft, even, contemplative |
| Neon / artificial | Urban, energetic, modern |
| Candlelight | Intimate, quiet |
| Hard shadows | Dramatic, high contrast |
VEO 3.1 generates synchronized audio natively. This is a major differentiator.
1. Dialogue - Use colon syntax before quotes:
A barista says: "Here you go!" as she slides a latte across the counter.
Keep lines under 7 words for clean lip-sync. One sentence max per 8-second clip.
2. Sound Effects - Describe specific sounds:
The sound of a match striking, then a candle flame flickering to life.
3. Ambient Sound - Set the sonic environment:
Birds chirping in the background, distant traffic hum, morning atmosphere.
Structure prompts in this order - you don't need all five every time:
[Shot type + camera movement]. [Setting and lighting]. [Subject doing action].
[Audio: what you hear]. [Style/grade].
Podcast promo (VEO, 16:9):
A close-up tracking shot of a vintage microphone in a warmly lit podcast studio.
Steam rises slowly from a coffee mug beside it. Morning sunlight filters through
blinds, casting soft stripes across the desk. The sound of a quiet room - a clock
ticking, the faint hum of equipment. Cinematic, intimate, inviting.
Social teaser - vertical (Sora, 9:16):
A hand reaches into frame and opens a leather-bound journal on a wooden desk.
The pages flutter briefly before settling on a page covered in handwritten notes.
A pen is set down beside the book. Warm overhead lighting, shallow depth of field.
Shot on 16mm film, natural grain.
Product reveal (either provider, 16:9):
Camera slowly orbits a pair of wireless headphones placed on a dark marble surface.
Dramatic studio lighting with a single warm key light from the left. The headphones
cast a sharp shadow. Premium, minimal, modern.
# VEO: Basic generation (8s, 720p, 16:9)
python scripts/generate_video.py "Your prompt here"
# VEO: Fast draft for iteration
python scripts/generate_video.py "Your prompt here" --model fast
# VEO: High quality vertical video for social
python scripts/generate_video.py "Your prompt" --aspect 9:16 --resolution 1080p
# VEO: Multiple variations to choose from
python scripts/generate_video.py "Your prompt" --count 2 --output ./videos
# VEO: Short clip with specific settings
python scripts/generate_video.py "Your prompt" --duration 4 --resolution 4k --name "hero-clip"
# VEO: Exclude unwanted elements
python scripts/generate_video.py "Your prompt" --negative "text overlays, watermarks, blurry"
# Sora: Basic generation
python scripts/generate_video.py "A cat on a windowsill, warm light" --provider sora
# Sora: 12-second clip (longer than VEO allows)
python scripts/generate_video.py "A dog running through a meadow" --provider sora --duration 12
# Sora: Pro model, vertical
python scripts/generate_video.py "Latte art being poured" --provider sora --model sora-2-pro --aspect 9:16
# Sora: Multiple variations
python scripts/generate_video.py "Ocean waves at sunset" --provider sora --count 2 --output ./videos
Options:
| Flag | Values | Default | Notes |
|---|---|---|---|
--provider | veo, sora | veo | VEO for audio, Sora for visual quality |
--model | VEO: standard, fast / Sora: sora-2, sora-2-pro | standard / sora-2 | Provider-specific models |
--aspect | 16:9, 9:16 | 16:9 | Vertical for Reels/TikTok/Shorts |
--resolution | 720p, 1080p, 4k | 720p | VEO only (ignored by Sora) |
--duration | VEO: 4, 6, 8 / Sora: 4, 8, 12 | 8 | Sora supports 12s |
--negative | text | none | VEO only (ignored by Sora) |
--count | 1-4 | 1 | Generate variations |
--output | path | . | Save directory |
--name | text | none | Filename prefix |
Output: MP4 files with timestamp-based filenames.
--model fast (VEO) or --duration 4 (Sora) for quick draftsAfter reviewing generated video:
Use --negative to steer away from common problems:
| Problem | Negative Prompt |
|---|---|
| Text/watermarks appearing | "text, watermarks, logos, subtitles" |
| Uncanny faces | "distorted faces, morphing features" |
| Jittery motion | "jerky motion, flickering, stuttering" |
| Over-saturated look | "oversaturated, HDR, neon colors" |
| Stock footage feel | "generic, corporate, stock footage aesthetic" |
8 seconds is one shot. Don't try to cram a narrative arc - describe a single continuous moment.
| Don't | Do |
|---|---|
| "A chef makes a meal from scratch and serves it" | "A chef's hands julienne carrots on a wooden cutting board, knife moving rhythmically" |
| "A day at the beach from sunrise to sunset" | "Waves gently lap at bare feet on sand, golden hour light, camera at ground level" |
Vague motion descriptions produce vague results. Describe what moves, how fast, and in which direction.
Don't just describe one sound - create a soundscape:
The crackling of a vinyl record playing soft jazz,
a distant car horn outside the window,
the quiet clink of an ice cube in a glass.
Always include --negative "text, watermarks" at minimum. The model occasionally generates unwanted text overlays.
Short, punchy, loop-friendly. Favor close-ups and strong motion.
# VEO with audio
python scripts/generate_video.py "Close-up of coffee being poured into a ceramic mug, steam rising, warm morning light. The sound of liquid pouring and a soft sigh." \
--aspect 9:16 --duration 4 --resolution 1080p
# Sora for visual quality
python scripts/generate_video.py "Close-up of coffee being poured into a ceramic mug, steam rising, warm morning light. Photorealistic, shallow depth of field." \
--provider sora --aspect 9:16 --duration 4
Ambient, atmospheric. Favor wide shots and subtle motion.
python scripts/generate_video.py "A vintage radio on a wooden shelf, dial slowly turning. Warm tungsten light. Soft static transitioning into faint music." \
--resolution 1080p --name "podcast-header"
Clean, controlled, premium feel. Studio lighting, slow orbits.
python scripts/generate_video.py "Camera slowly orbits a leather notebook on a dark wood desk. Single warm key light. The sound of pages turning gently." \
--resolution 4k --duration 6 --negative "text, watermarks, busy background"
For content that needs more breathing room.
python scripts/generate_video.py "A woman walks through an autumn forest path, leaves falling around her. Golden hour light filters through the canopy. Cinematic, contemplative." \
--provider sora --duration 12 --name "autumn-walk"
When generating multiple clips for a project:
Create a consistency block and repeat it verbatim across all prompts:
CHARACTER: A woman in her thirties with short silver hair and a black turtleneck
PALETTE: amber, cream, walnut brown, deep olive
LIGHTING: Soft key light from camera right, warm tungsten
STYLE: Cinematic, shallow depth of field, warm film grain
NEGATIVE: no subtitles, no on-screen text, no watermarks
Session-end memory discipline. Detects which projects were touched, writes updates to WORKBENCH.md (volatile state) + skills + persistent memory, and proposes CLAUDE.md edits. Two-tier — obvious low-blast-radius writes are applied automatically and reported; evergreen/destructive changes ask first. Use when the user says "/wrap", "wrap up", "end of session", "let's close out", or when the session is clearly winding down.
When the user is writing the story portion of a launch video or demo and needs the framing where the founder pretends to BE the ICP experiencing the problem, then uses the product on-camera. Also use when the user mentions "demo story", "show don't tell", "day-in-the-life demo", "roleplay demo", "founder as customer", or "first person launch video". This is the story frame, not the full script.
When the user needs a 3-5 word opening hook for a product launch video — the first second of on-screen text or voice that stops the scroll. Also use when the user mentions "hook for my video", "first second", "opening line", "tagline", "one-liner for launch", or "catchphrase". Produces 10+ hook candidates, not one answer.
When a user wants to grow an X (Twitter) account from zero before a product launch, or asks how to get first followers, warm up the algorithm, hit ~500-1,000 followers, or prepare an account to make a launch video land. Also use when the user mentions "new X account", "warm up my Twitter", "first 1000 followers", "building in public strategy", "X growth", or "engagement before launch".
When the user is planning, scripting, or editing a product launch video for X (Twitter) and needs the structure. Also use when the user mentions "launch video", "demo video", "product launch on X", "60 second demo", "how to structure a launch", or "my launch video isn't working". Produces a beat-by-beat timing sheet, not copy.
When the user has X (Twitter) content that performed well and wants to relay it to LinkedIn 1-2 weeks later with reframing. Also use when the user mentions "repost to LinkedIn", "LinkedIn version of my tweet", "X to LinkedIn", "delayed repost", "LinkedIn for non-tech audience", or "LinkedIn relay". Also use when the user's ICP is non-tech and X is secondary — LinkedIn is the primary channel and this skill produces the content.