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H3 Prompt Writing

OrganizationPopular
MiniMax-AI
h3-prompt-writing

Write MiniMax H3 video generation prompts for T2VA, I2VA, FL2VA, L2VA, and Ref2VA. Use when rewriting multimodal requests into H3 prompt structures, composing integrated_multimodal_description, overall_soundscape, and non_diegetic_music, aligning keyframes, or defining reference labels for images, videos, and audio.

Overview

PublisherMiniMax-AI
RepositoryMiniMax-H3
Skill nameh3-prompt-writing
Stars
8.8K
Forks
629
Bundled files
3
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by MiniMax-AI on GitHub. Read the source before you install it.

Installation

Install the H3 Prompt Writing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MiniMax-AI/MiniMax-H3.git /tmp/MiniMax-H3
mkdir -p .claude/skills
cp -r /tmp/MiniMax-H3/skills/h3-prompt-writing .claude/skills/h3-prompt-writing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable H3 Prompt Writing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads H3 Prompt Writing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so H3 Prompt Writing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

H3 Prompt Writing

Workflow

  1. Identify the input mode: T2VA, I2VA, FL2VA, L2VA, or full-reference Ref2VA.
  2. For base text/keyframe modes, read references/base-en.txt and follow its final prompt structure.
  3. For full-reference mode, read references/ref-en.txt and follow its six-section rewrite format.
  4. Preserve the exact field names, section order, labels, and timing notation from the selected guide.

Base Modes

  • T2VA: build the full audiovisual timeline from text.
  • I2VA: start from the first frame and develop forward from it.
  • FL2VA: describe the continuous path between the first and last frames.
  • L2VA: infer a plausible opening and converge to the supplied last frame.

Use integrated_multimodal_description, overall_soundscape, and non_diegetic_music in the order shown in references/base-en.txt.

Full-Reference Mode

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-en.txt for label rules, retention analysis, and complete examples.

Output Rules

  • Write rewrite sections in English; preserve dialogue, lyrics, and visible scene text in their original language.
  • Describe each shot by composition, subjects, environment, actions, camera, sound, and the exact point where referenced content appears.
  • Avoid plot summaries, unresolved reference labels, and timing that does not match the requested duration.

Tips for Better Results

  • Always match the total duration of the description to the requested video length (4–15 seconds).
  • Keep reference labels consistent (e.g. <Picture 1>, <Video 1>, <Audio 1>) across every section.
  • Prefer concrete visual and audio details over abstract words like "cinematic" or "beautiful".
  • When using keyframes (I2VA / FL2VA / L2VA), clearly state how the first and/or last frame connects to the timeline.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the H3 Prompt Writing AI skill do?

Write MiniMax H3 video generation prompts for T2VA, I2VA, FL2VA, L2VA, and Ref2VA. Use when rewriting multimodal requests into H3 prompt structures, composing integrated_multimodal_description, overall_soundscape, and non_diegetic_music, aligning keyframes, or defining reference labels for images, videos, and audio.

Why use H3 Prompt Writing on TypingMind?

Because you install it once and use it with any model. H3 Prompt Writing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install H3 Prompt Writing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MiniMax-AI/MiniMax-H3/tree/main/skills/h3-prompt-writing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use H3 Prompt Writing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with H3 Prompt Writing?

As many as you like. As long as a model supports skills, you can use H3 Prompt Writing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the H3 Prompt Writing AI skill free?

It is published on GitHub by MiniMax-AI. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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