minimax-h3-prompting-skill-public

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minimax-h3-prompting-skill-public

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Bilingual community prompting Skill for MiniMax H3 / 海螺 H3

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**English** | [简体中文](README.zh-CN.md)

A guided, general-purpose Agent Skill for MiniMax H3 / Hailuo H3. It evaluates requirement maturity, H3 fit, and evidence strength; assigns information-density and multimodal-reference roles; then compiles the result into H3-compatible prompt fields with a built-in preflight.

![MiniMax H3 Prompting Skill one-page guide](https://raw.githubusercontent.com/q2522879285-source/minimax-h3-prompting-skill-public/main/assets/minimax-h3-prompting-one-page.png)

## What it solves

- Supports five modes: `T2VA`, `I2VA`, `FL2VA`, `L2VA`, and `Ref2VA`.
- Uses local file reads only. `agents/openai.yaml` supplies optional ChatGPT / Codex UI metadata and does not restrict use by other Agents.
- Selects task recipes for typography PV, Motion Design / MG, products, e-commerce, UI, game characters, character introductions, MV, title sequences, hand-drawn reality rewrites, audio reference, fashion lookbooks, and more.
- Budgets semantic states, editorial microcuts, graphic layouts, material effects, and sound attacks separately, so "information overload" is not mistakenly reduced to low density.
- Assigns each image, video, and audio reference one explicit responsibility, reducing competition between references.
- Separates official capabilities, inspected local outputs, and external examples instead of turning a single result into a universal rule.
- Does not import behavior from Jimeng SD2, Seedance, or other models into H3.

## Workflow

```text
Requirement maturity
→ H3 fit / evidence level
→ Information-density budget
→ Reference responsibility
→ Task recipe
→ H3-compatible field compilation
→ Preflight
```

## Installation

Using the [skills CLI](https://github.com/vercel-labs/skills):

```bash
npx skills add https://github.com/q2522879285-source/minimax-h3-prompting-skill-public --skill minimax-h3-prompting
```

Alternatively, copy `skills/minimax-h3-prompting` into your local Agent Skills directory.

## Structure

```text
skills/minimax-h3-prompting/
├── SKILL.md
├── LICENSE
├── agents/openai.yaml
└── references/
    ├── h3-interoperability-guide.md
    ├── guided-task-recipes.md
    └── validated-findings.md
```

## v2.7 update

- Adds a bounded **attribute card × action proof** character-introduction recipe.
- Uses a single-character chain: identity ignition, status label, action proof, impact climax, and hero lockup.
- Alternates bright MG definition fields with dark action fields to raise editorial density while keeping semantic load low.
- Treats readable-text whitelists, character continuity, action complexity, and native-generation versus post-production contribution as separate review surfaces.
- Uses external examples as structural evidence only—not as proof of complex combat, exact long-form text, or native H3 compositing.

## Evidence boundary

This project uses public MiniMax pages to check interface facts without redistributing their documentation text. It distinguishes:

1. officially supported capabilities;
2. inspected local outputs;
3. external examples or unvalidated design candidates.

An external prompt, post, or one-off result may become a bounded design recipe, but never an automatic claim about H3's general capabilities.

## Upstream

- [Official MiniMax H3 repository](https://github.com/MiniMax-AI/MiniMax-H3)
- [Official H3 Skills](https://github.com/MiniMax-AI/MiniMax-H3/tree/main/skills)

This is an independently maintained community project and is not affiliated with MiniMax. MiniMax, Hailuo, and related names belong to their respective owners.

## License

[MIT](LICENSE). This repository does not redistribute MiniMax documentation text. H3 mode names, interface keys, and machine identifiers are used only to describe compatibility.

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