AI Video

Generate AI video of any kind, end to end — write the prompt, create first-frame stills, run the generation across six video models (Seedance 2.0, Kling 3.0, Wan 2.7, Veo 3.1, OmniHuman 1.5, VEED Fabric), synthesize voiceover, stitch clips into a finished cut, and upscale for delivery. Use whenever the user wants to make or improve a video: cinematic shots, character dialogue, action, dance, native SFX, image-to-video, motion transfer, lip-sync, talking-avatar / "a video of me", real-person parody, abstract motion graphics, montages and stitched episodes. Builds prompts with the canonical 5-pa

7 stars 2 forksImages, Video & Audio

Install

skills CLI (Claude Code, Cursor, Codex and more)
npx skills add 0xadvait/ai-video-skill --skill ai-video
Manual install
git clone --depth 1 https://github.com/0xadvait/ai-video-skill.git /tmp/ai-video-skill
mkdir -p ~/.claude/skills
cp -r /tmp/ai-video-skill/. ~/.claude/skills/ai-video

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# AI video — generation, any kind

An end-to-end AI video skill: prompt craft → first-frame stills → generation
across six models → voiceover → edit/stitch → upscale, with a quality-control
loop that makes the skill improve over time. The ByteDance Seedance 2.0 schema
is the **canonical interchange format** — jobs are authored against it and the
runner translates to whichever model fits. Treat every clip as a miniature
production brief, not an image caption.

## Full pipeline

Not every job needs every stage — a single clip is just stages 2–4 — but this
is the shape of a complete video:

1. **Still** (`scripts/imagegen.py`) — generate a first-frame image or
   character reference plate (Flux / Imagen). Skip for pure text-to-video.
2. **Prompt** — build the request with the 5-part structure (Workflow below).
3. **Validate + generate** (`validate.py` → `generate.py`) — run on the
   auto-routed model; local refs auto-upload.
4. **QC + learn** (`review.py` → `LESSONS.md`) — watch the clip, score it,
   record a lesson. Mandatory.
5. **Voiceover** (`scripts/tts.py`) — synthesize narration (e.g. the user's
   cloned voice) when a clip or cut needs spoken audio.
6. **Assemble** (`scripts/assemble.py`) — stitch multiple clips into a
   finished video with cuts/crossfades and an audio bed.
7. **Finish** (`scripts/upscale.py`) — upscale resolution + interpolate fps
   for delivery.

## Workflow (a single generation)
Read the full skill on GitHub

Details

Skill name
ai-video
License
MIT
Repo updated
9 June 2026

FAQ

What does the AI Video skill do?

Generate AI video of any kind, end to end — write the prompt, create first-frame stills, run the generation across six video models (Seedance 2.0, Kling 3.0, Wan 2.7, Veo 3.1, OmniHuman 1.5, VEED Fabric), synthesize voiceover, stitch clips into a finished cut, and upscale for delivery. Use whenever the user wants to make or improve a video: cinematic shots, character dialogue, action, dance, native SFX, image-to-video, motion transfer, lip-sync, talking-avatar / "a video of me", real-person parody, abstract motion graphics, montages and stitched episodes. Builds prompts with the canonical 5-pa

How do I install the AI Video skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add 0xadvait/ai-video-skill --skill ai-video. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is AI Video popular?

It lives in 0xadvait/ai-video-skill, which has 7 GitHub stars and 2 forks.

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