Video Gen Usage
OtoDock/oto-dock
Generate AI videos, transitions between clips, and AI video edits.
Create and edit videos using Google's Veo 2 and Veo 3 models.
$ npx skills add cnemri/google-genai-skills --skill veo-use -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install cnemri/google-genai-skills veo-use --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/cnemri/google-genai-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/veo-use .claude/skills/veo-use && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "veo-use" agent skill from https://github.com/cnemri/google-genai-skills/tree/main/skills/veo-use into .claude/skills/veo-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "veo-use", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/cnemri/google-genai-skills/tree/main/skills/veo-useType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add cnemri/google-genai-skills --skill veo-use -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install cnemri/google-genai-skills veo-use --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cnemri/google-genai-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/veo-use .agents/skills/veo-use && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "veo-use" agent skill from https://github.com/cnemri/google-genai-skills/tree/main/skills/veo-use into .agents/skills/veo-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "veo-use", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add cnemri/google-genai-skills --skill veo-use -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install cnemri/google-genai-skills veo-use --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cnemri/google-genai-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/veo-use .cursor/skills/veo-use && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "veo-use" agent skill from https://github.com/cnemri/google-genai-skills/tree/main/skills/veo-use into .cursor/skills/veo-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "veo-use", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/cnemri/google-genai-skills.git --path skills/veo-use--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add cnemri/google-genai-skills --skill veo-use -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install cnemri/google-genai-skills veo-use --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cnemri/google-genai-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/veo-use .gemini/skills/veo-use && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "veo-use" agent skill from https://github.com/cnemri/google-genai-skills/tree/main/skills/veo-use into .gemini/skills/veo-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "veo-use", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install cnemri/google-genai-skills veo-useInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add cnemri/google-genai-skills --skill veo-use -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/cnemri/google-genai-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/veo-use .github/skills/veo-use && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "veo-use" agent skill from https://github.com/cnemri/google-genai-skills/tree/main/skills/veo-use into .github/skills/veo-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "veo-use", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add cnemri/google-genai-skills --skill veo-use -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install cnemri/google-genai-skills veo-use --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cnemri/google-genai-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/veo-use .opencode/skills/veo-use && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "veo-use" agent skill from https://github.com/cnemri/google-genai-skills/tree/main/skills/veo-use into .opencode/skills/veo-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "veo-use", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
veo-useCreate and edit videos using Google's Veo 2 and Veo 3 models.
Veo Use is an agent skill from cnemri/google-genai-skills. Create and edit videos using Google's Veo 2 and Veo 3 models. Supports Text-to-Video, Image-to-Video, Reference-to-Video, Inpainting, and Video Extension. Available parameters: prompt, image, mask, mode, duration, aspect-ratio. Always confirm parameters with the user or explicitly state defaults before running.
Its SKILL.md is about 630 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/prompting.md`, `scripts/edit_video.py` and `scripts/extend_video.py`).
It sits in Media & Creative, covering AI video generation. It works with Google Veo. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 7277476. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 5 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
GOOGLE_API_KEYGEMINI_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Veo Use loads about 625 tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 80 tokens; SKILL.md has 170 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from cnemri/google-genai-skills at commit 7277476, republished under its MIT licence (© cnemri). 170 words, ~625 tokens.
.claude/skills/veo-use/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.Use this skill to generate and edit videos using Google's Veo models (veo-3.1 and veo-2.0).
This skill uses portable Python scripts managed by uv.
Ensure you have one of the following authentication methods configured in your environment:
API Key:
GOOGLE_API_KEY or GEMINI_API_KEYVertex AI:
GOOGLE_CLOUD_PROJECTGOOGLE_CLOUD_LOCATIONGOOGLE_GENAI_USE_VERTEXAI=1Generate a video purely from a text description.
uv run skills/veo-use/scripts/text_to_video.py "A cinematic drone shot of a futuristic city" --output city.mp4Generate a video starting from a static image context.
uv run skills/veo-use/scripts/image_to_video.py "Zoom out from the flower" --image start.png --output flower.mp4Use specific asset images (subjects, products) to guide generation.
uv run skills/veo-use/scripts/reference_to_video.py "A man walking on the moon" --reference-image man.png --output moon_walk.mp4Modify existing videos using masks.
Modes:
REMOVE: Remove dynamic object.REMOVE_STATIC: Remove static object (watermark).INSERT: Insert new object (requires --prompt).uv run skills/veo-use/scripts/edit_video.py --video input.mp4 --mask mask.png --mode INSERT --prompt "A flying car" --output edited.mp4Extend the duration of an existing video clip.
uv run skills/veo-use/scripts/extend_video.py --video clip.mp4 --prompt "The car flies away into the sunset" --duration 6 --output extended.mp4--model: Default veo-3.1-generate-001.--resolution: 1080p (default), 720p, 4k.--aspect-ratio: 16:9 (default), 9:16.--duration: 6 (default), 4, 8.Before running scripts, review the reference guides for prompting tips and best practices.
© cnemri, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 6 other files (scripts, references) in skills/veo-use of cnemri/google-genai-skills.
Open the folder on GitHubat commit 7277476
Veo Use next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Veo Use this skillcnemri/google-genai-skills | 127 | — | ~625 | Automated safety check: Pass | MIT | |
| Video Gen UsageOtoDock/oto-dock | 190 | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| Capcutsocial-media-skills/skills | 128 | — | ~2k | Automated safety check: Pass | MIT | |
| Klingsocial-media-skills/skills | 128 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Runwaysocial-media-skills/skills | 128 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Veo Showreel Production KitBlackBeltTechnology/pi-agent-dashboard | 315 | — | ~1.4k | Automated safety check: Pass | MIT |
OtoDock/oto-dock
Generate AI videos, transitions between clips, and AI video edits.
social-media-skills/skills
The CapCut craft skill — edit short-form social video (TikTok, Reels, Shorts) fast and safely: retention-paced cuts, auto-captions, beat-synced sound, exports.
social-media-skills/skills
The generative-video producer for native 4K, multi-shot storyboarding, and motion-transfer (Kling-led).
social-media-skills/skills
Prompt and direct Runway (Gen-4.5, Aleph) — the control-grade generative video tool for camera moves, character consistency, and edit-grade shots.
BlackBeltTechnology/pi-agent-dashboard
Turn a video timeline + voiceover into a reproducible, sliceable Veo 3.1 prompt package with a consistency anchor and AI storyboard sketches.
yonatangross/orchestkit
Vision, audio, video generation, and multimodal LLM integration patterns.
cnemri/google-genai-skills
Perform autonomous, multi-step research using the Gemini Deep Research Agent (Interactions API).
cnemri/google-genai-skills
Generate (TTS), Transcribe (STT), and Clone voices using Google's GenAI and Cloud Speech SDKs.
cnemri/google-genai-skills
Search and retrieve Google's developer documentation using the Developer Knowledge API.
cnemri/google-genai-skills
Generate, edit, and compose images using Gemini Nano Banana models via portable Python scripts.
cnemri/google-genai-skills
Expert guidance on the Google Agent Development Kit (ADK) for Python.
cnemri/google-genai-skills
Generate and edit high-quality images using Gemini 2.5 Flash Image and Gemini 3 Pro Image (Nano Banana).
Works with
Categories
Create and edit videos using Google's Veo 2 and Veo 3 models. Veo Use is an agent skill from cnemri/google-genai-skills. Create and edit videos using Google's Veo 2 and Veo 3 models.
Veo Use fits situations like: tasks that involve AI video generation.
Run `npx skills add cnemri/google-genai-skills --skill veo-use -a claude-code`. Or copy the skill folder (skills/veo-use in cnemri/google-genai-skills) into .claude/skills/veo-use in your project. Claude Code loads it when a task matches its description.
Run `npx skills add cnemri/google-genai-skills --skill veo-use -a codex`. Or copy the skill folder (skills/veo-use in cnemri/google-genai-skills) into .agents/skills/veo-use in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cnemri/google-genai-skills --skill veo-use -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/veo-use, .gemini/skills/veo-use, .github/skills/veo-use and .opencode/skills/veo-use in your project.
Going by SKILL.md and its folder, Veo Use needs Python for the scripts in its folder, the command-line tools its instructions call (uv) and credentials named GOOGLE_API_KEY and GEMINI_API_KEY. Our summary lists: Python 3; A credential in GOOGLE_API_KEY; A credential in GEMINI_API_KEY.
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Veo Use is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 625 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 760 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Veo Use: Video Gen Usage (OtoDock/oto-dock, 190 stars), Capcut (social-media-skills/skills, 128 stars), Kling (social-media-skills/skills, 128 stars) and Runway (social-media-skills/skills, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
cnemri (a GitHub user) maintains it in cnemri/google-genai-skills, which has 127 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on February 6, 2026.
Source: cnemri/google-genai-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.