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内容创作 #image #video #writing

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 官方收录技能 质量 优秀 · 90 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=minimax-ai-minimax-h3-skills-h3-prompt-writing-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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.
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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