Minimax H3 Keyframe Video Prompt logo

Minimax H3 Keyframe Video Prompt

Community
unknowlei
minimax-h3-keyframe-video-prompt

Narrow downstream MiniMax H3 specialist for pure I2VA, FL2VA, and L2VA boundary-frame prompts. Use only after minimax-h3-creative-director verifies that the user explicitly declared the images as literal first/last frames and that they have no character, identity, person, object, costume, scene, style, voice, action, camera, or other reusable reference responsibility. Otherwise use full-reference consistency, even when first/last-frame semantics are desired.

Overview

Publisherunknowlei
Repositoryminimax-h3-opencode-skills
Skill nameminimax-h3-keyframe-video-prompt
Stars
124
Forks
6
Bundled files
2
LicenseMIT
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.

  • 2 bundled files

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

  • Open source

    Published by unknowlei on GitHub. Read the source before you install it.

Installation

Install the Minimax H3 Keyframe Video Prompt 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.
    https://github.com/unknowlei/minimax-h3-opencode-skills/tree/main/skills/minimax-h3-keyframe-video-prompt
  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/unknowlei/minimax-h3-opencode-skills.git /tmp/minimax-h3-opencode-skills
mkdir -p .claude/skills
cp -r /tmp/minimax-h3-opencode-skills/skills/minimax-h3-keyframe-video-prompt .claude/skills/minimax-h3-keyframe-video-prompt
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Minimax H3 Keyframe Video Prompt 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 Minimax H3 Keyframe Video Prompt 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 Minimax H3 Keyframe Video Prompt 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.

MiniMax H3 Keyframe Video Prompt

Design a continuous visual path from or toward concrete boundary frames. Treat a boundary image as an actual target frame, not merely a loose style reference.

Routing Contract

New MiniMax H3 requests should enter through minimax-h3-creative-director. Use this skill only for explicitly declared boundary-only images. If the user did not explicitly say first frame, last frame, starting frame, ending frame, or an equivalent literal boundary role, use minimax-h3-reference-video-prompt. If any image also defines or preserves a character, identity, person, object, costume, scene, style, voice, action, camera, composition, or other reusable trait, use full-reference even if the user also calls it a first or last frame.

Official Format Authority

Before drafting, read ../h3-prompt-writing/SKILL.md and ../h3-prompt-writing/references/base-en.txt. Treat those official MiniMax files as the canonical prompt-format specification. If this skill or its local references conflict with them, follow the official files.

Read references/keyframe-rules.md before drafting.

Confirmed Multishot Handoff

When the director supplies a confirmed multishot_plan, treat its shot count, timing, content, framing, performance, camera, transitions, sound, and continuity decisions as already answered. Do not ask those questions again. Map every confirmed shot into the official keyframe prompt while preserving exact boundary-frame alignment. Reopen a decision only when the plan is physically impossible, contradicts a boundary image, or exceeds the effective duration.

Mandatory Format

Always return the exact mode-specific picture-alignment instruction followed by the official three fields. Never return a free-form natural-language paragraph, keyword list, shortened prompt, or alternate schema as the final English prompt.

Interactive Direction Check

Before drafting, use the host's structured-choice tool whenever the eligible pure-keyframe brief is sparse, the intended transformation is underspecified, two or more of duration, motion path, visual treatment, camera strategy, dialogue/sound, or ending behavior are missing, or the user delegates creative direction to the AI.

In OpenCode, call the built-in question tool rather than printing Markdown options. In Codex, use the available structured user-input tool; if unavailable, ask one concise plain-text question.

Ask as many related questions as the current decision stage requires; normally 1-5, but three is not a per-call, per-turn, or per-session ceiling. A strict yes/no question may contain exactly two options; every other choice question must contain at least five materially different, feasible options. Put the context-specific recommendation first with (Recommended) in its label, explain each consequence in one sentence, omit Other, and enable multiple selection only for genuinely combinable choices. Before every question tool call, count the options in the actual payload. If any non-binary choice has fewer than five, do not submit it; expand it with meaningful alternatives or make it open-ended. Do not create near-duplicates merely to reach five.

Prioritize:

  • Boundary role when one image is ambiguous: first frame or last frame
  • Motion strength: subtle natural motion, clear narrative action, dramatic transformation
  • Camera strategy: continuous single shot, restrained cuts, dynamic montage
  • Landing behavior: exact stable hold, arrive on the final instant, transition through the frame

For a sparse or delegated brief, ask enough high-impact questions in one batch to establish the current stage, normally 3-5. Do not treat "improvise" as permission to skip questions. Skip only when the user explicitly prohibits questions, then disclose the chosen direction.

Select the Mode

  • Explicit first-frame-only image with no reusable reference role -> I2VA.
  • Explicit first-and-last-frame pair with no reusable reference role -> FL2VA.
  • Explicit last-frame-only image with no reusable reference role -> L2VA.

If boundary wording is absent, ambiguous, or merely inferred, do not ask the user to confirm this specialist. Route directly to minimax-h3-reference-video-prompt.

If the same boundary image or any other asset must also control identity, character, object, action, style, scene, sound, editing, or pacing, use minimax-h3-reference-video-prompt and express the first/last-frame relationship inside the full-reference prompt. Do not mix API first_frame/last_frame roles with reference_* roles.

Workflow

  1. Confirm the boundary role, exact integer duration, and intended final action or transformation. Keep the official online target within 4-15 seconds, 24 FPS, and 7000 prompt characters; obey narrower local-workflow limits when known.
  2. Inspect supplied images when available. Record identity, clothing, pose, object states, composition, camera angle, lighting, and spatial relationships.
  3. Define the motion path before writing prose.
  4. Keep subject identity and persistent attributes consistent unless the user explicitly requests transformation.
  5. Prefer a single continuous transition for FL2VA and usually for L2VA. Two boundary images do not automatically create a cut. Add cuts only when explicitly requested or essential.
  6. Write the exact alignment instruction, then the three core fields.
  7. Validate that the target boundary frame is reached at the exact endpoint rather than early.
  8. Return the required bilingual output.

Motion Paths

I2VA

Use: first-frame anchor -> action onset -> continuous development -> result or reaction.

FL2VA

Use: first-frame state -> observable intermediate changes -> progressively narrowing differences -> exact last-frame state.

Do not merely describe two static images. Explain how poses, objects, lighting, camera, and composition transform between them.

L2VA

Use: plausible preceding state -> explicit causal action -> gradual convergence -> exact final-frame landing.

Do not begin in the final state. Infer a compatible earlier state and show how it becomes the reference frame.

Required Prompt Structure

Place the mode-specific alignment instruction first, followed by one blank line and:

text
integrated_multimodal_description: [Shot 1] ...

overall_soundscape: ...

non_diegetic_music: ...

Use the exact official alignment forms in references/keyframe-rules.md.

Output Contract

Return ### English Prompt, one text code block containing only the complete English prompt, then ### 中文翻译 with a complete Chinese translation outside code blocks.

Language Policy

Write all descriptive and instructional prose in the English prompt in English. Preserve non-English source wording only when exactness is required for:

  • Dialogue, voiceover, speech, singing, or lyrics inside <d>[Language] ...</d>
  • Visible signs, captions, subtitles, labels, interfaces, titles, logos, or messages
  • Exact personal names, place names, brands, organizations, product/work titles, account names, and handles
  • Filenames, URLs, model names, picture labels, and control tokens

Do not use non-English wording for style, composition, appearance, lighting, actions, transitions, camera movement, sound design, or music unless it is literal content to be spoken or shown.

Translate every completed prompt instruction into Chinese after the English code block, including the meaning of dialogue, lyrics, and visible text. Keep field names, picture labels, [Shot N], timestamps, (Sx), and control tags visible alongside their Chinese explanations. Preserve exact proper nouns and source literals, adding Chinese meaning where useful. Treat the Chinese section as explanatory rather than executable.

Add ### 采用的假设 before the English prompt only when useful. Keep the executable English prompt within the official 7000-character maximum; choose detail according to transition complexity and remove repetition.

Quality Gate

  • The selected mode matches the supplied boundary frames.
  • The alignment instruction is exact and uses the effective duration with exactly two decimal places where required.
  • The initial state matches the first-frame image when one exists.
  • Intermediate changes are visible, causal, and feasible within the duration.
  • Identity, clothing, key objects, spatial relations, and persistent colors remain continuous.
  • The final pose, object state, camera angle, lighting, spacing, and composition land on the last frame when one exists.
  • The final frame is reached at the end, not held prematurely.
  • Dialogue fits its shot duration, and any cross-cut speech relationship is explicit.
  • Required visible text is quoted exactly.
  • The prompt does not contradict one-take versus cuts or music versus N/A.
  • The final English prompt is no more than 7000 characters.
  • Dialogue, sound, and camera follow the shared MiniMax H3 rules, and the Chinese section translates every prompt component without adding content.

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 Minimax H3 Keyframe Video Prompt AI skill do?

Narrow downstream MiniMax H3 specialist for pure I2VA, FL2VA, and L2VA boundary-frame prompts. Use only after minimax-h3-creative-director verifies that the user explicitly declared the images as literal first/last frames and that they have no character, identity, person, object, costume, scene, style, voice, action, camera, or other reusable reference responsibility. Otherwise use full-reference consistency, even when first/last-frame semantics are desired.

Why use Minimax H3 Keyframe Video Prompt on TypingMind?

Because you install it once and use it with any model. Minimax H3 Keyframe Video Prompt 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 Minimax H3 Keyframe Video Prompt in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/unknowlei/minimax-h3-opencode-skills/tree/main/skills/minimax-h3-keyframe-video-prompt. 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 Minimax H3 Keyframe Video Prompt?

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 Minimax H3 Keyframe Video Prompt?

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

Is the Minimax H3 Keyframe Video Prompt AI skill free?

Yes. It is published on GitHub by unknowlei under the MIT license. 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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