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H3 Video Prompt Enhancer

Community
benjiyaya
h3-video-prompt-enhancer

Use when making MiniMax H3 video prompts from media + ideas.

Overview

Publisherbenjiyaya
RepositoryMinimax-H3-Prompt-AgentSkill
Skill nameh3-video-prompt-enhancer
Stars
150
Forks
12
Bundled files
3
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.

  • 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 benjiyaya on GitHub. Read the source before you install it.

Installation

Install the H3 Video Prompt Enhancer 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/benjiyaya/Minimax-H3-Prompt-AgentSkill/tree/main
  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/benjiyaya/Minimax-H3-Prompt-AgentSkill.git \
  .claude/skills/h3-video-prompt-enhancer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable H3 Video Prompt Enhancer 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 Video Prompt Enhancer 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 Video Prompt Enhancer 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 Video Prompt Enhancer

Overview

Transform a user's rough video idea + attached assets into a production-grade MiniMax H3 video generation prompt. The skill handles two H3 generation modes:

  • Ref2VA — when the user provides reference assets (character sheets, style images, reference videos, voice samples). Outputs a 6-section structured prompt. Load references/ref2va-format.md for the full spec.
  • Base MultiShot (T2VA / I2VA / FL2VA / L2VA) — for text-to-video or image-anchored generation. Outputs a timed multi-shot prompt. Load references/base-multishot-format.md for the full spec.

The skill's distinctive value: it doesn't just format-comply — it creatively enhances the brief with professional-grade cinematic detail (camera aesthetics, visual texture, lighting design, pacing arcs, spatial choreography, continuity tracking) before mapping everything into the exact H3 output format. Load references/creative-showcase.md for quality benchmarks and pattern examples from advanced long-form prompts.

When to Use

Trigger when the user:

  • Attaches 1+ images/videos/audio files and describes a video they want to create
  • Says "make a video prompt" / "enhance this for H3" / "write a Ref2VA prompt" / "img2vid" / "txt2vid"
  • Provides a video concept and wants it structured for MiniMax H3 generation
  • Mentions H3, MiniMax, Ref2VA, ComfyUI video generation
  • Pastes a creative brief (CAMERA/LOOK/STYLE format) and wants it converted to H3 format

Don't use for:

  • Non-H3 video models (Sora, Runway, Kling, etc.) — the output format is H3-specific
  • Pure image generation prompts
  • Video editing tasks that don't involve new generation

Step 0: Classify the Mode

Determine the H3 mode from what the user attached and stated:

User providesModeFormat reference
Reference images/videos/audio (character sheets, style refs, voice clips)Ref2VAreferences/ref2va-format.md
Nothing — just a text ideaT2VA (text-to-video)references/base-multishot-format.md
1 image as the first frameI2VA (image-to-video)references/base-multishot-format.md
2 images (first frame + last frame)FL2VA (first-last-to-video)references/base-multishot-format.md
1 image as the last frame onlyL2VA (last-frame-to-video)references/base-multishot-format.md

Key distinction: An image used as a first/last frame anchor = I2VA/FL2VA/L2VA. An image used as a character/style reference (not a frame position) = Ref2VA. When ambiguous, ask the user: "Is this image a frame anchor (first/last frame of the video) or a reference (character/style/scene)?"

Step 1: Gather Parameters

Confirm these before enhancing (ask if missing, but proceed if the idea is clear enough):

  • duration_s: 4–15 seconds (integer). Default to 8 if unspecified.
  • aspect ratio: 16:9, 9:16, 1:1, 4:3, 21:9. Default to 16:9.
  • shot count: Let the planner decide, or respect user's explicit count. Budget: 4–6s → 1–2 shots; 7–10s → 2–3 shots; 11–15s → 3–5 shots.
  • asset inventory: What each attached file is and its role. Numbering per modality defines labels: Image k → <Picture k> or <Subject N>; Video k → <Video k>; Audio k → <Audio k>.

Step 2: Creative Enhancement

This is the core value-add. Take the user's idea and enrich it across seven dimensions. The goal: produce a prompt with the depth and cinematic intelligence of a professional storyboard. Consult references/creative-showcase.md for full examples of each pattern.

Enhancement Dimensions

1. Camera Identity — Assign a distinct camera aesthetic that matches the scene's tone:

  • Physical type: handheld, tripod, drone, steadicam, dolly, security cam, dashcam, POV, arc shot
  • Imperfections to preserve (when stylistically appropriate): hand tremor, autofocus hunting, exposure fluctuation, lens flare, motion blur, awkward zoom
  • Format/aesthetic hint: 16mm film, DV tape, digital clean, anamorphic, vintage camcorder, broadcast

2. Visual Texture (LOOK) — Define the image quality and color science:

  • Grain/noise: film grain, electronic noise, clean digital, VHS tracking, subtle blur
  • Color palette: warm/cool, saturated/desaturated, high/low contrast, natural skin tones
  • Lighting design: natural, studio, neon, golden hour, mixed sources, practical lights
  • Lighting transitions: if locations change across shots, describe how the light shifts

3. Pacing Arc — Plan the energy progression across the full duration:

  • Build patterns: quiet→energetic, tense→release, slow build→explosive peak→settle, steady rhythm
  • Cut rhythm: accelerating cuts toward climax, slow contemplative holds, musical cutting on beats
  • Match the pacing arc to the emotional intent of the brief

4. Character Detail — Flesh out every on-screen person with specificity:

  • Physical: age range, build, hair color/style, skin tone, distinctive features (scars, freckles, heterochromia)
  • Wardrobe: specific garments with colors, materials, textures, accessories — note changes across locations or time
  • Visual signature: a recurring color or visual element that makes the character instantly recognizable in every shot (e.g., "electric purple energy trails", "glossy teal jacket reflections", "always wears a red scarf")
  • Coverage note: describe outfits fully — avoid implying revealing clothing unless the user explicitly requests it

5. Spatial Geography — For action sequences or multi-location videos:

  • Screen direction: who enters from where, movement vectors (Left→Right, Deep→Front, foreground↔background)
  • Key action moments: the 2–3 critical motion beats that define the sequence
  • Environmental layout: what's in the space, how it's lit, reflective surfaces, depth

6. Continuity Progression — Track what changes across shots so the video feels coherent:

  • Physical state: damage accumulates, hair gets messier, clothes get wet/torn/dusty
  • Environmental: props move, lights flicker, weather shifts, debris scatters
  • Emotional: expressions and body language evolve naturally across the timeline

7. Sound Design Plan — Map the full audio landscape:

  • Ambience: room tone, environmental atmosphere, background chatter, traffic, wind
  • Physical action sounds: footsteps, impacts, fabric rustling, door creaks, liquid pouring
  • Non-diegetic score: instrumentation, tempo, rhythm, dynamic changes (goes in non_diegetic_music field)
  • Diegetic music: source-visible music — radio, speaker, live performance (goes in shot description)
  • Dialogue vs. voiceover: clearly mark which is spoken on-camera vs. off-screen narration

Per-Shot Quality Bar

Every shot in the storyboard must specify:

  • Composition: framing (wide, medium, close-up, extreme close-up, macro), angle (eye-level, low, high, overhead, Dutch)
  • Camera motion: type + amplitude + speed in natural English (e.g., "The camera pushes in with small amplitude at slow speed")
  • Subject action: exactly ONE dominant action per shot — never cram multiple actions
  • Environment/lighting: what's visible, how it's lit, time of day cues
  • Sound cue: what's audible in this specific moment
  • Reference labels (Ref2VA only): where referenced content appears or takes effect

Step 3: Format and Output

Load the appropriate format reference and produce the final H3 prompt.

For Ref2VA → Load references/ref2va-format.md. Output exactly 6 sections in order:

  1. subject_definitions: — one line per tracked item
  2. summary: — task-type prefix + one paragraph
  3. retention_analysis: — fidelity markers per label
  4. detailed_description: — 350–500 words, opens with style, then [Shot N] timeline
  5. overall_soundscape: — 1–4 sentences
  6. non_diegetic_music: — 1–3 sentences or N/A

For Base MultiShot → Load references/base-multishot-format.md. Output:

  1. Instruction line (I2VA/FL2VA/L2VA only — exact template from reference)
  2. integrated_multimodal_description: — timed multi-shot timeline
  3. overall_soundscape: — 1–4 sentences
  4. non_diegetic_music: — 1–3 sentences or N/A

Critical Format Rules (both modes)

  • Output ONLY the specified fields — no preamble, no explanation, no markdown fences, no commentary
  • Write everything in English. Exceptions: dialogue/lyrics inside <d> tags and visible on-screen text keep their original language verbatim
  • Timestamps: [Shot 1] has NO timestamp and opens with style + initial composition. Later shots: [Shot N] At MM:SS.mmm, the camera cuts to ... with strictly increasing times within duration
  • A cut must add NEW information (subject, space, state, viewpoint, time). If only distance/angle changes, use camera motion instead of a cut
  • Camera motion = motion type + amplitude + speed as natural English action, not stacked labels
  • Dialogue format: identifying phrase + speaker ID + delivery OUTSIDE <d>; inside <d> ONLY language tag + exact words: <d>[English] Wait for us!</d>
  • Preserve the user's dialogue verbatim — never translate, rewrite, or paraphrase
  • Voiceover: exact phrase "says in an off-screen voiceover" + immediately state "while his/her lips remain completely closed"
  • On-screen text (signs, neon, subtitles): English double quotation marks, verbatim, no translation
  • Avoid named third-party IP, real celebrities, trademarked characters — describe them generically

Camera Motion Vocabulary

Types: Zoom In/Out, Push In/Pull Out, Pan L/R, Truck L/R, Tilt Up/Down, Pedestal Up/Down, Arc Shot, Tracking Shot, Static Shot, Shake Slightly/Strongly, POV, Roll CW/CCW. Amplitude: "with small amplitude" / "with large amplitude" (omit when medium). Speed: "at slow speed" / "at fast speed" (omit when normal).

Step 4: Present to User

After generating the H3 prompt:

  1. Present the full prompt in a code block so it can be copied directly
  2. State which mode was detected and why
  3. Flag any assumptions made (e.g., "Assumed 8s duration and 16:9 — adjust if needed")
  4. Offer to refine specific aspects: camera aesthetic, pacing, character detail, shot count, sound design

Creative Patterns from Showcase

The user maintains advanced long-form prompt examples representing the quality bar. Load references/creative-showcase.md for full examples. Key transferable patterns:

Long-form Storytelling (montage, day-in-the-life, narrative):

  • Explicit CAMERA/LOOK/STYLE blocks defining the aesthetic before the storyboard
  • Outfit and location progression across time, with lighting transitions
  • Voiceover carrying emotional narrative over non-synchronized visuals
  • Pace building from quiet opening to high-energy finale
  • Per-shot storyboard with timing, action, and VO lines

Action Choreography (combat, chase, sports):

  • Per-character color lock — each character has a signature color for their effects/trails/reflections
  • Explicit spatial layout with screen directions (Deep→Front, Left→Right)
  • Action vectors — the key motion moment that defines each shot
  • Progressive continuity — damage accumulates, hair gets windblown, dust/cracks appear
  • Strict shot count enforcement — state the count and hold it
  • Environmental reactivity — holograms flicker, floors reflect, walls crack in response to action

Common Pitfalls

  1. Treating Ref2VA reference images as frame anchors. A character sheet or style reference is a <Subject>, not a <Picture>. Only use <Picture N> standalone when the image IS a concrete frame position (first frame, keyframe, last frame). When in doubt, cite the image inside the relevant <Subject N> line.

  2. Cramming multiple actions into one shot. One dominant action per shot — this is a hard H3 constraint. If the brief describes sequential actions, split them across multiple shots with cuts.

  3. Forgetting camera motion. Every shot needs an explicit camera movement specification — even "Static Shot" if the camera doesn't move. Omitting it leaves the model guessing.

  4. Inconsistent character identity across shots. Repeat identity anchors (hair, clothing, key props) in every shot, phrased freshly but consistently. If hair gets messy in shot 3, it stays messy in shot 4.

  5. Wrong shot count for duration. Respect the budget: 4–6s → 1–2 shots; 7–10s → 2–3 shots; 11–15s → 3–5 shots. Don't plan 5 shots for a 5-second video.

  6. Mixing diegetic and non-diegetic music. Music audible to characters (radio, live performance, phone speaker) goes in the shot description. Background score the characters can't hear goes in non_diegetic_music. Never put the same music in both.

  7. Inventing reference labels (Ref2VA). Never create labels beyond those defined in subject_definitions. <Subject 3> means the same thing in every section where it appears. Different indices for different modalities are numbered independently.

  8. Translating or rewriting dialogue. Preserve the user's exact words inside <d> tags — including punctuation, hesitations, and language. Never translate to English if the user wrote in another language.

  9. Skipping the style opener. The detailed_description (Ref2VA) or integrated_multimodal_description (Base) MUST open with 1–2 sentences of overall style BEFORE [Shot 1]. Don't jump straight into the first shot.

  10. Flat timestamps. [Shot 1] never has a timestamp. Every subsequent shot needs At MM:SS.mmm with strictly increasing times. Convert duration to seconds with proper formatting (8s → 8.00 for the instruction line).

Verification Checklist

  • Mode correctly detected from attached assets and user intent
  • All seven enhancement dimensions applied (camera, look, pacing, character, spatial, continuity, sound)
  • Output contains ONLY the required H3 fields — no preamble, no markdown fences, no extra commentary
  • Timestamps are strictly increasing and fall within duration_s
  • Exactly ONE dominant action per shot
  • Camera motion specified for every shot (type + amplitude + speed)
  • Character identity consistent across all shots (repeat anchors every shot)
  • Dialogue preserved verbatim in <d>[Language] ...</d> format
  • Style opener present before [Shot 1]
  • Reference labels (Ref2VA only) used consistently and never invented beyond subject_definitions
  • Duration (4–15s) and aspect ratio specified or assumed-and-flagged
  • No named IP, celebrities, or trademarked character names
  • Diegetic music in shot descriptions, non-diegetic score in non_diegetic_music

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 Video Prompt Enhancer AI skill do?

Use when making MiniMax H3 video prompts from media + ideas.

Why use H3 Video Prompt Enhancer on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/benjiyaya/Minimax-H3-Prompt-AgentSkill/tree/main. 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 Video Prompt Enhancer?

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 Video Prompt Enhancer?

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

Is the H3 Video Prompt Enhancer AI skill free?

Yes. It is published on GitHub by benjiyaya 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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