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Use this skill for generative video editing, text-to-video, image-referenced video generation, and first-frame-to-video transition animations using the official google-genai SDK. Includes workflows for pre-processing/optimizing high-resolution or long source videos with ffmpeg,...
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
基于 SOC 职业分类
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。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/ChonSong/skill-retriever --skill gemini-omni-flash-api命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
AI-powered Draw.io diagram generation with real-time browser preview. Create flowcharts, architecture diagrams, sequence diagrams, and cloud infrastructure diagrams (AWS/GCP/Azure) using natural language. Supports animated connectors, real-time editing, and structured A–H format extraction from text or images.
Multi-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations, marketing, HR, and customer success. Takes PRD to fully deployed, revenue-generating product with zero human intervention. Features Task tool for subagent dispatch, parallel code review with 3 specialized reviewers, severity-based issue triage, distributed task queue with dead letter handling, automatic deployment to cloud providers, A/B testing, customer feedback loops, incident response, circuit breakers, and self-healing. Handles rate limits via distributed state checkpoints and auto-resume with exponential backoff. Requires --dangerously-skip-permissions flag.
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this,"...
| name | gemini-omni-flash-api |
| description | Use this skill for generative video editing, text-to-video, image-referenced video generation, and first-frame-to-video transition animations using the official google-genai SDK. Includes workflows for pre-processing/optimizing high-resolution or long source videos with ffmpeg,... |
| risk | unknown |
| source | https://github.com/google-gemini/gemini-skills/tree/main/skills/gemini-omni-flash-api |
| source_repo | google-gemini/gemini-skills |
| source_type | official |
| date_added | 2026-07-01T00:00:00.000Z |
| license | Apache-2.0 |
| license_source | https://github.com/google-gemini/gemini-skills/blob/main/LICENSE |
Use this skill when you need use this skill for generative video editing, text-to-video, image-referenced video generation, and first-frame-to-video transition animations using the official google-genai SDK. Includes workflows for pre-processing/optimizing high-resolution or long source videos with ffmpeg,...
This skill uses the Gemini Omni Flash model (gemini-omni-flash-preview) to perform text to video generation, image to video generation and video editing.
[!WARNING] Important Regional Restrictions: Uploading videos to use for video edits is NOT available in the EEA, Switzerland, the United Kingdom, and some US states. If a video-to-video edit completes quickly with empty outputs (
total_output_tokens: 0or no video content), it is likely due to this restriction.
Analyze request: Determine the target task (e.g., first-frame-to-video, reference-guided editing) and identify any input media assets.
Run SDK scripts:
scripts/video/generate_video.py or scripts/upload_file.py).--aspect-ratio (e.g. 16:9, 9:16) and --duration (any integer between 3 and 10 seconds, e.g. 3, 5, 10).Retrieve and process output: Outputs are saved to the local filesystem (e.g. media/). Report back the completed media path to the user.
gemini-omni-flash-preview) are handled via the .interactions.create input parts array.google-genai): Requires google-genai >= 2.10.0 (Python) to support the new interactions client attribute. Install or upgrade using:
pip install -U google-genai
google-genai SDK types and methods).prep_video.py, inspect_video.py, and generate_video.py (when stripping audio via --strip-audio) require ffmpeg and ffprobe binaries installed and available in your system PATH.Use the following Python scripts to upload media with the Files API, prepare input videos with ffmpeg, and generate video outputs using the Interactions API.
upload_file.py: Uploads local media (images and videos) to the Files API and polls until ACTIVE. If uploading a video larger than 25MB, it prints an informative warning/tip highlighting that Gemini Omni Flash is optimized for editing 10s videos at 720p/24fps, and recommends pre-processing with prep_video.py first to speed up the upload.
./scripts/upload_file.py path/to/image.png
generate_video.py: Performs end-to-end video generation and downloads the output video. It detects and uploads local media references (images or videos) before calling the Interactions API. Large video assets (>25MB) will trigger informative pre-processing recommendations without blocking the upload.
Text to video:
./scripts/video/generate_video.py "A close-up of a cat drinking tea" --output media/cat_tea.mp4
Image to video (first frame and reference):
./scripts/video/generate_video.py "The waves crash against the shore." --image reference.png --output media/waves.mp4
Video interpolation:
Provide exactly two images as keyframes to generate a transition video between them:
./scripts/video/generate_video.py "A smooth timelapse from sunrise to sunset" --image start.png --image end.png --output media/interpolation.mp4
Video editing (keep original audio):
./scripts/video/generate_video.py "Transform the style to Japanese anime" --video input.mp4 --output media/anime_style.mp4
Video editing (regenerate all audio from scratch):
./scripts/video/generate_video.py "Transform the style to Japanese anime" --video input.mp4 --strip-audio --output media/anime_style_new_audio.mp4
Turn-by-turn video editing (edit previous interaction):
Edit a prior video generation without re-uploading assets by passing the interaction ID:
./scripts/video/generate_video.py "Change the setting to a snowy winter wonderland." --previous-interaction-id "abc123xyz..." --output media/winter_wonderland.mp4
Parallel batch execution (prompts file): Run multiple prompts from a line-by-line text file concurrently:
./scripts/video/generate_video.py --prompts-file prompts.txt --concurrency 3
Parallel batch execution (JSON config): Execute fully configured, distinct generation and editing jobs in parallel:
./scripts/video/generate_video.py --batch jobs.json --concurrency 3
Example jobs.json:
[
{
"prompt": "Transform the style to Japanese anime.",
"video": "input.mp4",
"output": "media/anime_style.mp4",
"strip_audio": false,
"aspect_ratio": "16:9"
},
{
"prompt": "A smooth timelapse from sunrise to sunset.",
"image": ["start.png", "end.png"],
"output": "media/interpolation.mp4"
}
]
inspect_video.py: Inspects a local video file (using ffprobe) to check its duration, resolution, frame rate (FPS), audio stream presence, and format details.
./scripts/video/inspect_video.py media/output.mp4
To get a pre-parsed, structured JSON summary:
./scripts/video/inspect_video.py media/output.mp4 --json
To get the complete, unmodified ffprobe raw JSON dump:
./scripts/video/inspect_video.py media/output.mp4 --raw
prep_video.py: Normalizes, trims, and formats any video file to fit standard Gemini Omni Flash generation and editing limits. It handles timecode-based trimming, optional frame rate conversion, and proportional scaling of large videos (max 1280x720 for landscape, 720x1280 for portrait) to optimize upload times without stretching. If the video is longer than 10 seconds and the script is run interactively (in a TTY), it prompts the user to select the first 10s, last 10s, or enter a custom timecode (defaulting to the first 10s).
./scripts/video/prep_video.py path/to/source.mp4
or explicitly specify the start and duration:
./scripts/video/prep_video.py path/to/source.mp4 --start 0 --duration 10
Trim last 10s (automatically calculates starting point based on source length):
./scripts/video/prep_video.py path/to/source.mp4 --start last
Trim 10s starting at specific timecode (MM:SS or HH:MM:SS):
./scripts/video/prep_video.py path/to/source.mp4 --start 00:03 --output media/custom.mp4
Custom frame rate and resolution:
./scripts/video/prep_video.py path/to/source.mp4 --fps 30 --resolution 1920x1080
Strip audio for audio regeneration:
./scripts/video/prep_video.py path/to/source.mp4 --strip-audio --output media/video_with_no_audio.mp4
You can use tags in your prompt to make it clear whether each uploaded media is an initial frame or a reference.
For simple cases where image roles are clear from the prompt, you can bind images to roles directly:
<FIRST_FRAME>: Use the image as the starting frame of the video, for example: <FIRST_FRAME> a woman is walking<IMAGE_REF_N>: Use the image as a reference, for example: in the style of <IMAGE_REF_0> a woman <IMAGE_REF_1> is walking (combines style reference from the first image and subject reference from the second image). Image references start from 0.An example with 6 reference images:
[0-3s] A studio fashion sequence. Starting with woman <IMAGE_REF_0>, she is holding <IMAGE_REF_1>
[3-6s] Then we see the man <IMAGE_REF_2> holding <IMAGE_REF_3>
[6-10s] And finally another woman <IMAGE_REF_4> who is holding <IMAGE_REF_5> while walking.
For more complex cases with multiple images and multiple roles, you can use explicit prefix tags paired with natural language instruction suffixes.
Declaring sources and reference images:
[# Sources <FIRST_FRAME>@Image1] will use the first image as the starting frame.[# References <IMAGE_REF_0>@Image1] will use the first image as a reference.[# References <IMAGE_REF_1>@Image2] will use the second image as a reference.[# References <IMAGE_REF_0>@Image1 <IMAGE_REF_1>@Image2] will use both images as references.[# Sources <FIRST_FRAME>@Image1] [# References <IMAGE_REF_0>@Image2] will use the first image as the starting frame and the second image as a reference.Guiding instructions: Add guiding instructions at the end of your prompt:
"Use the given image as the starting frame.""Use the given image(s) as references for video generation. The images should not be used as literal initial frames."Example Expanded Prompt:
[# Sources <FIRST_FRAME>@Image1] [# References <IMAGE_REF_0>@Image2] a woman <IMAGE_REF_0> is walking. Use Image1 as the starting frame. Use Image2 as a reference for the video generation.
When editing a source video that contains audio, you must choose between keeping the original audio or regenerating all audio from scratch.
Keep original audio: By default, Gemini Omni Flash preserves the existing audio layer (though it may modify or adapt it slightly during generation). Use this when the original background music, dialogue, or sound effects are desired.
Regenerate all audio from scratch: If you want Gemini Omni Flash to re-create a brand-new audio layer tailored to the new visual style or prompt, you must upload the video with its audio stream stripped out. If any audio stream is present, Gemini Omni Flash will attempt to preserve/modify it instead of starting from scratch.
--strip-audio (or -a) when pre-processing with scripts/video/prep_video.py or executing scripts/video/generate_video.py.By default Gemini Omni Flash will try to create a video with a few different shots. It'll attempt to craft an interesting narrative based on the prompt.
If you need the output video to contain a single scene, you must prompt for that:
For example:
Continuous, unbroken handheld shot of a fluffy tabby cat sitting on a sunny windowsill, looking out into a leafy garden. The cat's tail twitches slowly, and its ears rotate slightly toward ambient noises. Sunbeams illuminate dust motes in the air. Sound design: Gentle breeze, distant bird chirps, quiet mechanical purring. No dialogue.
If generations contain things you don't want, you can include simple negatives to avoid them:
Simple prompts work best for editing. Overly descriptive prompts can lead to unintended changes.
For example:
When editing a specific aspect of the video, it can help to include: "Keep everything else the same".
By default the model will try to generate an appropriate audio track for a video. This might not always be what you want. You can use your prompt to describe the type of audio you want. This is especially important if you want music in your video:
You can prompt for things to happen at specific times in the video, there is no precise syntax needed and you can use natural language. This is especially useful in creating your own scene cuts, rhythm or rapid fire sequences.
Simple examples:
You can also use a timecode syntax:
[0-3s] A person is walking
[3-6s] They stop and turn around
[6-10s] They start running
Rather than specifying everything directly in a prompt, you can ask the model to pay attention to certain things. You can give Gemini Omni Flash these sorts of prompts verbatim:
Unlike previous video models, text in Gemini Omni Flash videos works really well. You can include decent amounts of text in your video and it will be rendered in a way that is correct and readable. If there will be naturally occurring text in your video, even in background elements, it can help to define what it should say.
For example: