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.
DeepseekModel
キュレーション済みスキル
品質 優秀 · 90
v1.0.0
取得
https://deepseekmodel.com/api/download.php?id=minimax-ai-minimax-h3-skills-h3-prompt-writing-skill-md&format=skill
ダウンロード .skill
標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name h3-prompt-writing description 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. compatibility Portable to any agent that can read local files — no external API calls, MiniMax Hub tools, or proprietary runtime required. The agents/openai.yaml file only adds optional ChatGPT/Codex UI metadata; it does not restrict the skill to OpenAI agents. H3 Prompt Writing Workflow Identify the input mode: T2VA, I2VA, FL2VA, L2VA, or full-reference Ref2VA. For base text/keyframe modes, read references/base-en.txt and follow its final prompt structure. For full-reference mode, read references/ref-en.txt and follow its six-section rewrite format. 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.
このスキルを起動するキーワード。クリックでコピーできます。
このスキルにはトリガーワードがありません。
ダウンロードした .skill に含まれるフィールド。
| フィールド | 説明 |
|---|---|
| format | フォーマット識別子(skill/v1) |
| skill_id | スキル固有 ID |
| name | スキル名 |
| version | バージョン |
| description | 説明 |
| category | カテゴリ(配列) |
| trigger_words | トリガーワード |
| tags | タグ |
| source | ソース |
| source_url | ソース URL(本ページ) |
| exported_at | エクスポート日時(ダウンロード毎) |
| system_prompt | システムプロンプト本文 |
| model_config | モデル設定:provider / model / temperature / max_tokens / top_p |
| examples | サンプル |
| install_guide | 各プラットフォームの導入説明(Coze / Dify / Claude / カスタム) |