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Prop Prompt

OrganizationPopular
chatfire-AI
prop-prompt

道具最终提示词规范 — 白底单品静物,标准产品摄影视角:比例准确、边缘完整、背景不承载叙事

Overview

Publisherchatfire-AI
Repositoryhuobao-drama
Skill nameprop-prompt
Stars
15.3K
Forks
2.8K
Bundled files
3
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 chatfire-AI on GitHub. Read the source before you install it.

Installation

Install the Prop 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.
  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/chatfire-AI/huobao-drama.git /tmp/huobao-drama
mkdir -p .claude/skills
cp -r /tmp/huobao-drama/backend/workspace/skills/prompt-generator/prop-prompt .claude/skills/prop-prompt
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prop 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 Prop 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 Prop 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.

道具最终提示词(白底单品 · 标准产品摄影)

生成的是一张白底单品图(product shot):采用标准产品摄影视角,画面中只有道具本身,孤立放置在纯白背景上,不掺杂任何其他元素——没有其他物品、没有人物、没有场景环境、没有手部持握。

三条硬性要求:

  1. 物品各部分比例准确——不要夸张、变形或风格化拉伸,道具的相对尺寸关系必须真实
  2. 边缘完整——道具整体完整入镜,四周留白,任何部分都不得被画面边缘裁切
  3. 背景不承载任何叙事内容——纯白背景只是衬底,不带场景感、不带情节暗示、不带装饰元素

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)

单品产品图,标准产品摄影视角,[道具名 + 材质/颜色/形状/大小 + 新旧程度与磨损细节],
物品各部分比例准确,孤立放置在纯白背景上,居中完整入镜,边缘完整无裁切,
背景纯净不承载任何叙事内容,无其他物品、无人物、无场景,
柔和均匀的影棚光,轻淡阴影,高细节

生成规则

  • 以道具 name(名称)与 description(物品外貌)为核心:材质、颜色、形状、大小、新旧程度、磨损痕迹等物理细节逐项落地,这是道具辨识度的来源
  • 标准产品摄影视角:微俯视 3/4 视角(同时看清顶面与侧面,最有立体感);扁平道具(纸张、证件、照片)用正俯视平铺
  • 单品居中完整呈现,四周留白,比例准确、边缘完整,不要裁切道具主体
  • 柔和均匀的影棚光,阴影轻淡,高细节
  • 只描写物品本身,不要提及剧情、角色或用途(背景与画面都不承载叙事内容)
  • 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;不要"电影质感"类词汇(道具图是产品图不是剧照)

禁止事项

  • 手部持握、人物、其他物品、场景环境入镜
  • 包装、底座、展示架(除非它就是道具本体的一部分)
  • 文字、水印、签名(道具本体上印刷的文字图案可以保留并描述)
  • 环境反光、彩色光
  • 夸张透视、变形、比例失真、边缘裁切

保存

调用 save_prop_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

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 Prop Prompt AI skill do?

道具最终提示词规范 — 白底单品静物,标准产品摄影视角:比例准确、边缘完整、背景不承载叙事

Why use Prop Prompt on TypingMind?

Because you install it once and use it with any model. Prop 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 Prop Prompt in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chatfire-AI/huobao-drama/tree/master/backend/workspace/skills/prompt-generator/prop-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 Prop 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 Prop Prompt?

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

Is the Prop Prompt AI skill free?

It is published on GitHub by chatfire-AI. Check the repository for licensing terms. 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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