Write MiniMax H3 video generation prompts for T2VA, I2VA, FL2VA, L2VA, and Ref2VA.
$ npx skills add vllm-project/vllm-omni --skill h3-prompt-writing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vllm-project/vllm-omni h3-prompt-writing --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/h3-prompt-writing .claude/skills/h3-prompt-writing && 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 "h3-prompt-writing" agent skill from https://github.com/vllm-project/vllm-omni/tree/main/.agents/skills/h3-prompt-writing into .claude/skills/h3-prompt-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "h3-prompt-writing", 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/h3-prompt-writingType 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 h3-prompt-writing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vllm-project/vllm-omni h3-prompt-writing --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/h3-prompt-writing .agents/skills/h3-prompt-writing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "h3-prompt-writing" agent skill from https://github.com/vllm-project/vllm-omni/tree/main/.agents/skills/h3-prompt-writing into .agents/skills/h3-prompt-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "h3-prompt-writing", 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 h3-prompt-writing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vllm-project/vllm-omni h3-prompt-writing --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/h3-prompt-writing .cursor/skills/h3-prompt-writing && 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 "h3-prompt-writing" agent skill from https://github.com/vllm-project/vllm-omni/tree/main/.agents/skills/h3-prompt-writing into .cursor/skills/h3-prompt-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "h3-prompt-writing", 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/h3-prompt-writing--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 h3-prompt-writing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vllm-project/vllm-omni h3-prompt-writing --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/h3-prompt-writing .gemini/skills/h3-prompt-writing && 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 "h3-prompt-writing" agent skill from https://github.com/vllm-project/vllm-omni/tree/main/.agents/skills/h3-prompt-writing into .gemini/skills/h3-prompt-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "h3-prompt-writing", 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 h3-prompt-writingInstalls 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 h3-prompt-writing -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/h3-prompt-writing .github/skills/h3-prompt-writing && 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 "h3-prompt-writing" agent skill from https://github.com/vllm-project/vllm-omni/tree/main/.agents/skills/h3-prompt-writing into .github/skills/h3-prompt-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "h3-prompt-writing", 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 h3-prompt-writing -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 h3-prompt-writing --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/h3-prompt-writing .opencode/skills/h3-prompt-writing && 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 "h3-prompt-writing" agent skill from https://github.com/vllm-project/vllm-omni/tree/main/.agents/skills/h3-prompt-writing into .opencode/skills/h3-prompt-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "h3-prompt-writing", 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.
h3-prompt-writingWrite MiniMax H3 video generation prompts for T2VA, I2VA, FL2VA, L2VA, and Ref2VA.
H3 Prompt Writing is an agent skill from vllm-project/vllm-omni. Write MiniMax H3 video generation prompts for T2VA, I2VA, FL2VA, L2VA, and Ref2VA. Use when rewriting multimodal requests into H3 prompt structures, composing integratedmultimodaldescription, overallsoundscape, and nondiegeticmusic, aligning keyframes, or defining reference labels for images, videos, and audio.
Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `agents/openai.yaml`, `references/base-format.md` and `references/portable-workflow.md`).
It sits in Media & Creative, covering AI video generation. It works with MiniMax. The repository describes itself as: A framework for efficient model inference with omni-modality models. The licence is Apache-2.0.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 096988d. 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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
H3 Prompt Writing loads about 744 tokens when it runs, and up to ~4.8k if it reads all its reference files. Until then it costs about 84 tokens; SKILL.md has 300 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); files beside SKILL.md are not scanned.
The full file from vllm-project/vllm-omni at commit 096988d, republished under its Apache-2.0 licence (© vllm-project). 300 words, ~744 tokens.
.claude/skills/h3-prompt-writing/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.references/base-format.md and follow its final prompt structure.references/ref-format.md and follow its six-section rewrite format.Use integrated_multimodal_description, overall_soundscape, and non_diegetic_music in the order shown in references/base-format.md.
Ref2VA rewrites use subject_definitions, summary, retention_analysis, detailed_description, overall_soundscape, and non_diegetic_music in that order. Reference labels stay consistent across all sections.
Read references/ref-format.md for label rules and retention analysis.
<Picture 1>, <Video 1>, <Audio 1>) across every section.© 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
SKILL.md and 4 other files (references) in .agents/skills/h3-prompt-writing of vllm-project/vllm-omni.
Open the folder on GitHubat commit 096988d
We found 8 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 6 other GitHub owners. This page covers the copy in vllm-project/vllm-omni, which our catalogue first saw on October 8, 2026.
H3 Prompt Writing 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 |
|---|---|---|---|---|---|---|
| H3 Prompt Writing this skillvllm-project/vllm-omni | 7.1k | 6 repos | ~744 | Automated safety check: Pass | Apache-2.0 | |
| Minimax H3 Video Reversegnipbao/minimax-h3-video-reverse-skill | 230 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Minimax H3 Colabkillkli/minimax-h3-colab-skill | 110 | — | ~743 | Automated safety check: Pass | None | |
| Handdrawn Live Video Generatortl2012tl/comfyUI-llama-TE | 241 | 4 repos | ~1.5k | Automated safety check: Pass | None | |
| ComfyUI Local DriverSlavaSexton/ComfyUI-Agent-Kit | 105 | — | ~12k | Automated safety check: Pass | Apache-2.0 | |
| Minimax H3 Text Video Promptunknowlei/minimax-h3-opencode-skills | 122 | — | ~2.3k | Automated safety check: Pass | MIT |
gnipbao/minimax-h3-video-reverse-skill
先复述参考视频内容与叙事逻辑，和用户确认理解后，再反推 MiniMax H3 文生视频或逐镜图生视频提示词。Use when the user asks to reverse-engineer a video into prompts, reconstruct shots, extract first/end-frame prompts, adapt a reference to H3, or…
killkli/minimax-h3-colab-skill
Create short MiniMax H3 reference-to-video clips from one or more local images through Google Colab CLI.
tl2012tl/comfyUI-llama-TE
For creators making surreal short videos that blend rough glowing hand-drawn animation with live-action spaces.
SlavaSexton/ComfyUI-Agent-Kit
Drives a local ComfyUI install over its HTTP API to generate and edit images, video and audio, with per-model prompt recipes and workflow guidance.
unknowlei/minimax-h3-opencode-skills
Downstream MiniMax H3 specialist for professional text-to-video (T2VA) prompts using the official three-field format.
unknowlei/minimax-h3-opencode-skills
Primary mandatory entrypoint for every MiniMax H3 video-generation request.
vllm-project/vllm-omni
Diagnose and optimize vLLM Omni diffusion workloads, especially Wan/Qwen/Flux-style image and video generation.
vllm-project/vllm-omni
Self-check your branch before creating a PR — catch dead code, prevent new model-specific Python examples, verify accuracy/perf claims, validate PR title format, and confirm merge readiness.
vllm-project/vllm-omni
Work on vLLM-Omni quantization for diffusion, autoregressive, omni, or multi-stage models.
vllm-project/vllm-omni
Review pull requests and local branches for vllm-project/vllm-omni with a frozen snapshot, module-design ownership, feature-design overlays, targeted validation, and concise evidence-backed findings.
vllm-project/vllm-omni
Add a new diffusion model (text-to-image, text-to-video, image-to-video, text-to-audio, image editing) to vLLM-Omni, including native non-Diffusers ports, reference-parity validation, Cache-DiT…
vllm-project/vllm-omni
Add or update an in-repository vLLM-Omni model recipe with verified task, input, output, hardware, command, feature, and validation contracts.
Works with
Categories
Write MiniMax H3 video generation prompts for T2VA, I2VA, FL2VA, L2VA, and Ref2VA. H3 Prompt Writing is an agent skill from vllm-project/vllm-omni. Write MiniMax H3 video generation prompts for T2VA, I2VA, FL2VA, L2VA, and Ref2VA.
H3 Prompt Writing fits situations like: rewriting multimodal requests into H3 prompt structures; composing integratedmultimodaldescription; overallsoundscape; nondiegeticmusic.
Run `npx skills add vllm-project/vllm-omni --skill h3-prompt-writing -a claude-code`. Or copy the skill folder (.agents/skills/h3-prompt-writing in vllm-project/vllm-omni) into .claude/skills/h3-prompt-writing in your project. Claude Code loads it when a task matches its description.
Run `npx skills add vllm-project/vllm-omni --skill h3-prompt-writing -a codex`. Or copy the skill folder (.agents/skills/h3-prompt-writing in vllm-project/vllm-omni) into .agents/skills/h3-prompt-writing 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 vllm-project/vllm-omni --skill h3-prompt-writing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/h3-prompt-writing, .gemini/skills/h3-prompt-writing, .github/skills/h3-prompt-writing and .opencode/skills/h3-prompt-writing in your project.
SKILL.md names no scripts, command-line tools or credentials: H3 Prompt Writing is instructions for the agent only.
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.
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.
H3 Prompt Writing 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.
About 744 tokens (SKILL.md is roughly 3k 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 4.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with H3 Prompt Writing: Minimax H3 Video Reverse (gnipbao/minimax-h3-video-reverse-skill, 230 stars), Minimax H3 Colab (killkli/minimax-h3-colab-skill, 110 stars), Handdrawn Live Video Generator (tl2012tl/comfyUI-llama-TE, 241 stars) and ComfyUI Local Driver (SlavaSexton/ComfyUI-Agent-Kit, 105 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.
