How do I install the Video Generation skill?

Run npx skillmds@latest add xiangyu-cas/video-generation in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Video Generation safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Video Generation?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Video Generation free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Video Generation?

xiangyu-cas (@xiangyu-cas) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Video Generation by xiangyu-cas — Agent Skill

Name: Video Generation
Author: xiangyu-cas

Video Generation

Gemini video generation with Veo 3.1 via the Python SDK. Use when generating videos from text or images, using reference images, first/last frame interpolation, or video extension, and when tuning Veo parameters (aspect ratio, resolution, duration, negative prompts, personGeneration, seed).

xiangyu-cas af1f702 13 files · 20.7 KB Updated Sep 17, 2026

File contents

Video Generation with Gemini (Veo 3.1)

Use this skill when the user asks to generate or extend videos with Gemini using the Python SDK. Default to veo-3.1-fast-generate-preview, resolution="720p", and duration_seconds=4, unless the user asks otherwise or the task requires different settings (e.g., extension, interpolation, reference images, 1080p/4k).

Workflow

Identify the task type: text-to-video, image-to-video, reference images, first/last frames (interpolation), or video extension.
Ensure GEMINI_API_KEY is available (env or local .env), then use the Python SDK.
When using images, pass types.Image(imageBytes=..., mimeType=...) (not PIL.Image or types.Part) to avoid input type errors.
Call client.models.generate_videos(...) with the correct inputs/config (see references).
Poll the operation until done, then download and save the video.
If no videos are returned, surface a clear error and suggest checking the API key, model, and config.

Use these references (by task type)

Common setup and workflow: references/overview.md
Parameters and constraints: references/parameters.md
Model versions and limits: references/model-versions-and-limitations.md
Prompting guidance: references/prompt-guide.md

Task types

Text-to-video: examples/text-to-video.md
Image-to-video: examples/image-to-video.md
Reference images: examples/reference-images.md
First/last frames (interpolation): examples/first-last-frames.md
Video extension: examples/video-extension.md

Tuning examples

Aspect ratio: examples/aspect-ratio.md
Resolution (4k): examples/resolution.md
Negative prompt: examples/negative-prompt.md

Defaults and notes

Default model: veo-3.1-fast-generate-preview.
Default output: 720p, 4 seconds.
For image inputs, always provide imageBytes + mimeType via types.Image to prevent INVALID_ARGUMENT errors.
1080p/4k, reference images, interpolation, and video extension require duration_seconds=8.
Video extension is limited to 720p inputs and requires a video from a previous Veo generation.
Video generation can take minutes; allow longer timeouts when running commands.

---name: video-generationdescription: Gemini video generation with Veo 3.1 via the Python SDK. Use when generating videos from text or images, using reference images, first/last frame interpolation, or video extension, and when tuning Veo parameters (aspect ratio, resolution, duration, negative prompts, personGeneration, seed).---# Video Generation with Gemini (Veo 3.1)Use this skill when the user asks to generate or extend videos with Gemini using the Python SDK.Default to `veo-3.1-fast-generate-preview`, `resolution="720p"`, and `duration_seconds=4`, unless the user asks otherwise or the task requires different settings (e.g., extension, interpolation, reference images, 1080p/4k).## Workflow1) Identify the task type: text-to-video, image-to-video, reference images, first/last frames (interpolation), or video extension.2) Ensure `GEMINI_API_KEY` is available (env or local `.env`), then use the Python SDK.3) When using images, pass `types.Image(imageBytes=..., mimeType=...)` (not `PIL.Image` or `types.Part`) to avoid input type errors.4) Call `client.models.generate_videos(...)` with the correct inputs/config (see references).5) Poll the operation until `done`, then download and save the video.6) If no videos are returned, surface a clear error and suggest checking the API key, model, and config.## Use these references (by task type)- Common setup and workflow: `references/overview.md`- Parameters and constraints: `references/parameters.md`- Model versions and limits: `references/model-versions-and-limitations.md`- Prompting guidance: `references/prompt-guide.md`### Task types- Text-to-video: `examples/text-to-video.md`- Image-to-video: `examples/image-to-video.md`- Reference images: `examples/reference-images.md`- First/last frames (interpolation): `examples/first-last-frames.md`- Video extension: `examples/video-extension.md`### Tuning examples- Aspect ratio: `examples/aspect-ratio.md`- Resolution (4k): `examples/resolution.md`- Negative prompt: `examples/negative-prompt.md`## Defaults and notes- Default model: `veo-3.1-fast-generate-preview`.- Default output: 720p, 4 seconds.- For image inputs, always provide `imageBytes` + `mimeType` via `types.Image` to prevent `INVALID_ARGUMENT` errors.- 1080p/4k, reference images, interpolation, and video extension require `duration_seconds=8`.- Video extension is limited to 720p inputs and requires a video from a previous Veo generation.- Video generation can take minutes; allow longer timeouts when running commands.

Frequently asked questions