Video Generation
bytedance/deer-flow
Generates short videos from a structured JSON prompt, optionally guided by a reference image used as the first or last frame.
Write or generate a continuous live-action scene with a rough luminous hand-drawn entity that contacts real objects, morphs, and escapes a slightly delayed handheld camera.
Install Handdrawn Live Video Generator
$ npx skills add vllm-project/vllm-omni --skill handdrawn-live-video-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vllm-project/vllm-omni handdrawn-live-video-generator --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/vllm-project/vllm-omni.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/handdrawn-live-video-generator .claude/skills/handdrawn-live-video-generator && 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 "handdrawn-live-video-generator" agent skill from https://github.com/vllm-project/vllm-omni/tree/main/.agents/skills/handdrawn-live-video-generator into .claude/skills/handdrawn-live-video-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "handdrawn-live-video-generator", 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/vllm-project/vllm-omni/tree/main/.agents/skills/handdrawn-live-video-generatorType 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 vllm-project/vllm-omni --skill handdrawn-live-video-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vllm-project/vllm-omni handdrawn-live-video-generator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vllm-project/vllm-omni.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/handdrawn-live-video-generator .agents/skills/handdrawn-live-video-generator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "handdrawn-live-video-generator" agent skill from https://github.com/vllm-project/vllm-omni/tree/main/.agents/skills/handdrawn-live-video-generator into .agents/skills/handdrawn-live-video-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "handdrawn-live-video-generator", 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 vllm-project/vllm-omni --skill handdrawn-live-video-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vllm-project/vllm-omni handdrawn-live-video-generator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vllm-project/vllm-omni.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/handdrawn-live-video-generator .cursor/skills/handdrawn-live-video-generator && 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 "handdrawn-live-video-generator" agent skill from https://github.com/vllm-project/vllm-omni/tree/main/.agents/skills/handdrawn-live-video-generator into .cursor/skills/handdrawn-live-video-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "handdrawn-live-video-generator", 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/vllm-project/vllm-omni.git --path .agents/skills/handdrawn-live-video-generator--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 vllm-project/vllm-omni --skill handdrawn-live-video-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vllm-project/vllm-omni handdrawn-live-video-generator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vllm-project/vllm-omni.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/handdrawn-live-video-generator .gemini/skills/handdrawn-live-video-generator && 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 "handdrawn-live-video-generator" agent skill from https://github.com/vllm-project/vllm-omni/tree/main/.agents/skills/handdrawn-live-video-generator into .gemini/skills/handdrawn-live-video-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "handdrawn-live-video-generator", 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 vllm-project/vllm-omni handdrawn-live-video-generatorInstalls 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 vllm-project/vllm-omni --skill handdrawn-live-video-generator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vllm-project/vllm-omni.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/handdrawn-live-video-generator .github/skills/handdrawn-live-video-generator && 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 "handdrawn-live-video-generator" agent skill from https://github.com/vllm-project/vllm-omni/tree/main/.agents/skills/handdrawn-live-video-generator into .github/skills/handdrawn-live-video-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "handdrawn-live-video-generator", 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 vllm-project/vllm-omni --skill handdrawn-live-video-generator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vllm-project/vllm-omni handdrawn-live-video-generator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vllm-project/vllm-omni.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/handdrawn-live-video-generator .opencode/skills/handdrawn-live-video-generator && 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 "handdrawn-live-video-generator" agent skill from https://github.com/vllm-project/vllm-omni/tree/main/.agents/skills/handdrawn-live-video-generator into .opencode/skills/handdrawn-live-video-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "handdrawn-live-video-generator", 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.
Facts
- Skill name
handdrawn-live-video-generator- GitHub stars
- 7.1k
- Token cost
- ~980 tokens
- SKILL.md length
- 480 words
- Files
- 2
- Skills in repo
- 20
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Write or generate a continuous live-action scene with a rough luminous hand-drawn entity that contacts real objects, morphs, and escapes a slightly delayed handheld camera.
- Gentle surreal mixed-media shorts
- SKILL.md covers Creative contract, Timed action structure, Prompt delivery and rendering and Review
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Not flat-vector-only animation
What it does
Handdrawn Live Video Generator is an agent skill from vllm-project/vllm-omni. Write or generate a continuous live-action scene with a rough luminous hand-drawn entity that contacts real objects, morphs, and escapes a slightly delayed handheld camera. Use for gentle surreal mixed-media shorts, not flat-vector-only animation or horror clips.
Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
It sits in Media & Creative, covering AI video generation. The repository describes itself as: A framework for efficient model inference with omni-modality models. The licence is Apache-2.0.
When your agent uses it
- Gentle surreal mixed-media shorts
- Not flat-vector-only animation
Example prompts
- “/handdrawn-live-video-generator”
What it can do on your machine
Read from SKILL.md and the folder at commit 096988d. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Handdrawn Live Video Generator loads about 980 tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 480 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.
Safety
Auto-check passed
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from vllm-project/vllm-omni at commit 096988d, republished under its Apache-2.0 licence (© vllm-project). 480 words, ~980 tokens.
Download SKILL.mdSave it as
.claude/skills/handdrawn-live-video-generator/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- handdrawn-live-video-generator
- description
- Write or generate a continuous live-action scene with a rough luminous hand-drawn entity that contacts real objects, morphs, and escapes a slightly delayed handheld camera. Use for gentle surreal mixed-media shorts, not flat-vector-only animation or horror clips.
- metadata.compatibility
- Portable prompt writing with sibling h3-prompt-writing; actual generation requires an available video backend and any referenced media.
Handdrawn Live-Action Fusion
Read the portable workflow. Keep the user's requested scope and language. A creative-prompt request delivers the prompt, without generating media. For a requested finished video, prepare the prompt and proceed under existing authorization using available tools.
Creative contract
The default is a 15-second, 16:9 continuous scene in an everyday real space. A flat luminous drawn entity visibly contacts a real hand/object early, transforms as one traceable being, escapes through connected space, and the handheld camera reacts slightly late. Duration and ratio follow the user's explicit choices.
Use rough crayon, chalk, colored pencil, pastel, or brush strokes with uneven fill, frayed edges, line jitter, and frame-by-frame redraw. Keep the live-action setting physically grounded and the drawn presence visibly planar. Uniform neon tubes, plush characters, polished CG, and clean vector strokes would change this style.
Choose a fresh setting, entity, palette, contact mechanism, transformation chain, escape route, camera reaction, and emotional ending within the user's constraints. Do not ban an otherwise requested motif simply because an upstream example used it. The tone is warm, playful, and gently surprising rather than threatening.
Timed action structure
For a 15-second brief, use these intervals as a starting structure:
- 0–3s: establish obvious real/drawn contact, such as landing on a palm or slipping around a finger. The real participant reacts.
- 3–6s: begin a continuous morph while retaining a color smear, line, curve, or tail from the previous shape. Give it a playful action.
- 6–10s: let it escape into an adjacent part of the same space. The camera pans, tilts, or moves only after the entity starts leaving its view.
- 10–13s: add another readable interaction or surprise, keeping the same entity.
- 13–15s: extend an earlier drawn motif across the space into a gentle larger transformation, then resolve with a small emotional/comic detail.
Retiming changes the intervals proportionally or reorganizes beats; do not leave 15-second timestamps in a shorter prompt. Preserve a user's explicit final form instead of forcing the spatial finale when it conflicts with their ending.
Show full SKILL.md (148 more words)Show less
Prompt delivery and rendering
For a same-language creative prompt, begin with duration, ratio, real space, and the live-action/drawing fusion. Then describe phone-camera texture, the timed action intervals, drawn material, camera lag, specific exclusions, and ambient sound. Avoid unrelated headings or an essay when the user asked for copy-ready text.
For actual H3 generation, create a separate structured rendering prompt using the appropriate base/Ref2VA guide: English prose with literal dialogue/visible text in the requested language. Preserve the creative intent and actual media bindings. Do not send unsupported model settings or promise exact first-frame conditioning merely because an image is present.
Review
Check clear early physical contact, one continuous entity, connected geography, retained shape motifs, delayed camera reaction, rough planar drawing, and a non-threatening ending. Avoid jump scares, sudden blackouts, menacing anatomy, and unrequested extra characters. Deliver the actual prompt/video and state any remaining contact, continuity, texture, or camera-timing defects.
© vllm-project, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in .agents/skills/handdrawn-live-video-generator of vllm-project/vllm-omni.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit 096988d
Compare with similar skills
Handdrawn Live Video Generator 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 |
|---|---|---|---|---|---|---|
| Handdrawn Live Video Generator this skillvllm-project/vllm-omni | 7.1k | — | ~980 | Automated safety check: Pass | Apache-2.0 | |
| Video Generationbytedance/deer-flow | 84k | 3 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Video Cover Imageitwanger/toBeBetterJavaer | 18k | — | ~3.3k | Automated safety check: Pass | None | |
| Seedancesongguoxs/seedance-prompt-skill | 2.9k | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 60k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Lanshu Create AI Presenter Videocclank/lanshu-create-ai-presenter-video | 2.6k | — | ~3.6k | Automated safety check: Pass | MIT |
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Questions about Handdrawn Live Video Generator
What does Handdrawn Live Video Generator do?
Write or generate a continuous live-action scene with a rough luminous hand-drawn entity that contacts real objects, morphs, and escapes a slightly delayed handheld camera. Handdrawn Live Video Generator is an agent skill from vllm-project/vllm-omni. Write or generate a continuous live-action scene with a rough luminous hand-drawn entity that contacts real objects, morphs, and escapes a slightly delayed handheld camera.
When should I use Handdrawn Live Video Generator?
Handdrawn Live Video Generator fits situations like: gentle surreal mixed-media shorts; not flat-vector-only animation.
How do I install Handdrawn Live Video Generator in Claude Code?
Run `npx skills add vllm-project/vllm-omni --skill handdrawn-live-video-generator -a claude-code`. Or copy the skill folder (.agents/skills/handdrawn-live-video-generator in vllm-project/vllm-omni) into .claude/skills/handdrawn-live-video-generator in your project. Claude Code loads it when a task matches its description.
How do I install Handdrawn Live Video Generator in Codex?
Run `npx skills add vllm-project/vllm-omni --skill handdrawn-live-video-generator -a codex`. Or copy the skill folder (.agents/skills/handdrawn-live-video-generator in vllm-project/vllm-omni) into .agents/skills/handdrawn-live-video-generator in your project. Codex loads it when a task matches its description.
Can I use Handdrawn Live Video Generator in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add vllm-project/vllm-omni --skill handdrawn-live-video-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/handdrawn-live-video-generator, .gemini/skills/handdrawn-live-video-generator, .github/skills/handdrawn-live-video-generator and .opencode/skills/handdrawn-live-video-generator in your project.
What does Handdrawn Live Video Generator need to run?
SKILL.md names no scripts, command-line tools or credentials: Handdrawn Live Video Generator is instructions for the agent only.
Does Handdrawn Live Video Generator access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Handdrawn Live Video Generator safe to install?
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. Review the folder before installing.
What licence does Handdrawn Live Video Generator use?
Handdrawn Live Video Generator is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Handdrawn Live Video Generator use?
About 980 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Handdrawn Live Video Generator?
Skills that share tags, products or a category with Handdrawn Live Video Generator: Video Generation (bytedance/deer-flow, 84k stars), Video Cover Image (itwanger/toBeBetterJavaer, 18k stars), Seedance (songguoxs/seedance-prompt-skill, 2.9k stars) and HyperFrames Video Entry Point (heygen-com/hyperframes, 60k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Handdrawn Live Video Generator?
vllm-project (a GitHub organization) maintains it in vllm-project/vllm-omni, which has 7,119 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 11, 2026.
Source: vllm-project/vllm-omni on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.