scene-prompt
chatfire-AI/huobao-drama · Agent Skill
Generates static, wide-angle establishing shots of scenes without people, clearly defining object placement for future reference.
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| Publisher | |
|---|---|
| Repository | chatfire-AI/huobao-drama ↗ |
| Skill folder | scene-prompt |
| Stars | 14,828 |
| Bundled files | 1 |
| License | not specified — check with the author |
| Last updated | August 3, 2026 |
| Links | Skill source ↗ · Repository ↗ |
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Installation
A skill is a folder with a SKILL.md file. Pick your agent and run the commands in a terminal (macOS, Linux or Git Bash on Windows) from your project root.
Copy the prompt into Claude, Codex or another assistant: it will review the skill and install it for you.
Install the “scene-prompt” skill from mozgi.io (https://mozgi.io/skills/scene-prompt/) for me. 1. Download the archive: https://mozgi.io/skills/scene-prompt/download If it fails, take the skill folder from the source: https://github.com/chatfire-AI/huobao-drama/tree/master/backend/workspace/skills/prompt-generator/scene-prompt 2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me. 3. Put the “scene-prompt” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.). 4. Make sure <skills folder>/scene-prompt/SKILL.md exists. 5. Briefly tell me what this skill does and offer to try it on my task. If you cannot do a step yourself, tell me what to click or type.
git clone --depth 1 --branch master https://github.com/chatfire-AI/huobao-drama.git /tmp/huobao-drama mkdir -p .claude/skills cp -r /tmp/huobao-drama/backend/workspace/skills/prompt-generator/scene-prompt .claude/skills/scene-prompt
Restart Claude Code — the skill appears in the list; call it manually with /scene-prompt. For all projects use ~/.claude/skills.
git clone --depth 1 --branch master https://github.com/chatfire-AI/huobao-drama.git /tmp/huobao-drama mkdir -p .agents/skills cp -r /tmp/huobao-drama/backend/workspace/skills/prompt-generator/scene-prompt .agents/skills/scene-prompt
Codex looks for skills in .agents/skills from the current folder up to the repo root; call one with /skills or $scene-prompt. For all projects use ~/.agents/skills.
git clone --depth 1 --branch master https://github.com/chatfire-AI/huobao-drama.git /tmp/huobao-drama mkdir -p .cursor/skills cp -r /tmp/huobao-drama/backend/workspace/skills/prompt-generator/scene-prompt .cursor/skills/scene-prompt
Cursor picks the skill up on start; call it with “/” in Agent chat. Cursor also reads .claude/skills and .agents/skills. For all projects use ~/.cursor/skills.
git clone --depth 1 --branch master https://github.com/chatfire-AI/huobao-drama.git /tmp/huobao-drama mkdir -p .gemini/skills cp -r /tmp/huobao-drama/backend/workspace/skills/prompt-generator/scene-prompt .gemini/skills/scene-prompt
Gemini CLI offers to activate the skill when a task matches — you approve it. For all projects use ~/.gemini/skills.
Read SKILL.md and any companion files before deciding whether to install. Click a file to preview it.
SKILL.md contents
Original author text · read-only场景最终提示词(广角建立镜头 · 无人物空镜)
生成的是一张清晰的广角建立镜头(establishing shot)场景图:完全没有人物的纯场景空镜,完整展示前景、中景、后景、出入口、地面、墙面及主要陈设的固定相对位置,空间结构连续、自洽且可复用。
这张图会作为该场景所有镜头的背景参考锚点:观众和模型都必须能从这张图读懂整个空间的布局——从哪里进出、地面与墙面是什么质感、核心陈设各自固定在什么位置。视角必须稳定、通用。
输出结构(按此顺序组装单段连贯描述,语言跟随会话语言指令)
固定机位广角镜头,清晰的建立镜头,[地点 + 年代质感],[时间段],
前景([前景元素])、中景([中景主体空间])、后景([后景纵深])三层分层构图,
出入口([门/通道的位置与样式]),地面([地面材质与状态]),墙面([墙面材质与颜色]),
[主要陈设及其固定相对位置],
空间结构连续、自洽,
[光源 + 色温 + 明暗对比],[氛围],
画面中没有任何人物,空场景,电影质感
空间结构规则
空间必须读得懂、对得上、可复用:
- 前景:框景/遮挡物(门框、桌角、植物、设备边缘),制造纵深——写出 1-2 个具体元素
- 中景:场景的主体空间与核心陈设(流水线、床铺、柜台)
- 后景:空间的延伸(远处的墙、窗、走廊、城市轮廓)
- 出入口:门、楼梯、通道的位置与样式必须明确(如"画面左侧一扇铁门"),这是后续镜头调度人物进出的依据
- 地面与墙面:材质、颜色、状态具体化(如"水泥地面有油渍""墙面石灰斑驳")
- 主要陈设:写出 2-4 个核心陈设及它们的固定相对位置(如"流水线沿墙排开,尽头是吧台"),陈设之间的左右/远近关系要自洽,不要只罗列物品名
人物(硬性规则 · 最高优先级)
场景图中不能出现任何的人,只保留场景本身。
- 提示词中不描述人物、不提及任何与人物相关的内容
- 场景描述(prompt)中出现的人物信息一律忽略,不写入提示词
- 提示词结尾必须包含:"画面中没有任何人物,空场景"
prompt(场景描述)中的陈设、年代质感、关键视觉元素必须全部落地;lighting(场景光影)要具体化:光源方向、色温冷暖、明暗对比(如"头顶灯管发出冷白光,机器下方投下硬阴影")。
视角与氛围
- 稳定的平视或微俯广角,不要极端俯仰、鱼眼、倾斜构图(要作为固定场景反复复用)
- 以
location+time确定时间段与光线基调(日/夜/黄昏的光完全不同) - 氛围词具体化:"压抑" → "空气闷热、光线昏暗低沉",不要只写抽象情绪词
- 输出使用会话语言指令指定的目标语言,不要混入无关词汇
禁止事项
- 任何人物——场景图中不能出现任何的人,只保留场景本身
- 文字、招牌上的可读文字、水印、签名
- 动态模糊、运动中的物体(场景参考图必须静止稳定)
- 只罗列陈设清单而不交代相对位置(空间结构必须连续、自洽)
保存
调用 save_scene_final_prompt:prompt 参数不含风格词,项目视觉风格由工具自动注入到最终提示词的最前方。
Frequently asked questions
What does the scene-prompt skill do?
Generates static, wide-angle establishing shots of scenes without people, clearly defining object placement for future reference.
How do I install scene-prompt?
Open the “Installation” block on this page and pick your agent — Claude Code, Codex, Cursor or Gemini CLI — for ready-made commands that copy the skill folder to the right place. Or copy the prompt from the “Via assistant” tab and let the assistant review and install the skill.
Which AI models work with scene-prompt?
Skills are plain Markdown instructions (the Agent Skills format), so scene-prompt works with any agent that reads SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and more. The model loads the instructions only when a task matches the skill's description.
Is scene-prompt free?
The skill is published openly by chatfire-AI. The skill itself costs nothing — you only pay your AI provider for the tokens you use. No license is specified in the repository — check the terms with the author before commercial use.
Is it safe to install skills?
A skill is a set of instructions your agent will follow, so read SKILL.md and its companion files before installing. Scripts in the skill folder only run if your agent runs them — keep an eye on what it does and do not grant unnecessary permissions.
How is a skill different from an MCP server or a plugin?
An MCP server or plugin gives the model new tools — code that runs and returns a result. A skill gives it knowledge and process: how to approach a task, which steps to follow and what good output looks like. It needs no server or API key.