AI Image Generation and Editing
zhayujie/CowAgent
Generates or edits images from text prompts through a Python script that picks an image backend based on which API keys are configured.
Specifies how to write the final image prompt for a story prop: one item on a pure white background in a standard product-photo view, with true proportions.
SKILL.md written in Chinese; this summary is our English description.
Install Prop Product-Shot Prompt Spec
$ npx skills add chatfire-AI/huobao-drama --skill prop-prompt -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install chatfire-AI/huobao-drama prop-prompt --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/chatfire-AI/huobao-drama.git skills-src && mkdir -p .claude/skills && cp -r skills-src/backend/workspace/skills/prompt-generator/prop-prompt .claude/skills/prop-prompt && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "prop-prompt" agent skill from https://github.com/chatfire-AI/huobao-drama/tree/master/backend/workspace/skills/prompt-generator/prop-prompt into .claude/skills/prop-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prop-prompt", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/chatfire-AI/huobao-drama/tree/master/backend/workspace/skills/prompt-generator/prop-promptType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add chatfire-AI/huobao-drama --skill prop-prompt -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install chatfire-AI/huobao-drama prop-prompt --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chatfire-AI/huobao-drama.git skills-src && mkdir -p .agents/skills && cp -r skills-src/backend/workspace/skills/prompt-generator/prop-prompt .agents/skills/prop-prompt && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "prop-prompt" agent skill from https://github.com/chatfire-AI/huobao-drama/tree/master/backend/workspace/skills/prompt-generator/prop-prompt into .agents/skills/prop-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prop-prompt", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add chatfire-AI/huobao-drama --skill prop-prompt -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install chatfire-AI/huobao-drama prop-prompt --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chatfire-AI/huobao-drama.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/backend/workspace/skills/prompt-generator/prop-prompt .cursor/skills/prop-prompt && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "prop-prompt" agent skill from https://github.com/chatfire-AI/huobao-drama/tree/master/backend/workspace/skills/prompt-generator/prop-prompt into .cursor/skills/prop-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prop-prompt", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/chatfire-AI/huobao-drama.git --path backend/workspace/skills/prompt-generator/prop-prompt--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add chatfire-AI/huobao-drama --skill prop-prompt -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install chatfire-AI/huobao-drama prop-prompt --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chatfire-AI/huobao-drama.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/backend/workspace/skills/prompt-generator/prop-prompt .gemini/skills/prop-prompt && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "prop-prompt" agent skill from https://github.com/chatfire-AI/huobao-drama/tree/master/backend/workspace/skills/prompt-generator/prop-prompt into .gemini/skills/prop-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prop-prompt", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install chatfire-AI/huobao-drama prop-promptInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add chatfire-AI/huobao-drama --skill prop-prompt -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/chatfire-AI/huobao-drama.git skills-src && mkdir -p .github/skills && cp -r skills-src/backend/workspace/skills/prompt-generator/prop-prompt .github/skills/prop-prompt && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "prop-prompt" agent skill from https://github.com/chatfire-AI/huobao-drama/tree/master/backend/workspace/skills/prompt-generator/prop-prompt into .github/skills/prop-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prop-prompt", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add chatfire-AI/huobao-drama --skill prop-prompt -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install chatfire-AI/huobao-drama prop-prompt --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chatfire-AI/huobao-drama.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/backend/workspace/skills/prompt-generator/prop-prompt .opencode/skills/prop-prompt && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "prop-prompt" agent skill from https://github.com/chatfire-AI/huobao-drama/tree/master/backend/workspace/skills/prompt-generator/prop-prompt into .opencode/skills/prop-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prop-prompt", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
prop-prompt- GitHub stars
- 16k
- Token cost
- ~262 tokens
- SKILL.md length
- 33 words
- Files
- 4
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Specifies how to write the final image prompt for a story prop: one item on a pure white background in a standard product-photo view, with true proportions.
- Works in 3 steps: 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 → 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 → 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
- Writing the final image prompt for a prop in an AI-generated short drama
- SKILL.md covers 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）, 生成规则, 禁止事项 and 保存
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
The prompt describes a single prop alone on a plain white background, shot like a standard product photo with nothing else in frame: no hands, people, other objects or scenery. Three firm requirements apply: the parts of the item keep accurate proportions, the whole item stays inside the frame with margin around it, and the background carries no story content.
The prompt is built as one coherent description from the prop's name and appearance, covering material, color, shape, size, age and wear. The camera is a slight overhead three-quarter view, or straight top-down for flat items such as papers, ID cards and photos, under soft even studio light with light shadows and no cinematic wording. Packaging, stands, watermarks, colored light and distortion are excluded. The result is saved with `save_prop_final_prompt`, which adds the project style at the start. The skill is written in Chinese.
When your agent uses it
- Writing the final image prompt for a prop in an AI-generated short drama
- Producing clean product-style reference images of objects on white backgrounds
- Checking that a prop prompt avoids people, scenery and cropped edges
Example prompts
- “Write the final prompt for the prop called antique brass key with a worn handle.”
- “Make a white-background product shot prompt for a crumpled paper map.”
- “Check this prop prompt for story hints or style words that should not be in it.”
Requirements
- An image workflow that provides the `save_prop_final_prompt` tool
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- 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
- 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
- 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
What it can do on your machine
Read from SKILL.md and the folder at commit 26de7df. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Prop Product-Shot Prompt Spec loads about 262 tokens when it runs. Until then it costs about 14 tokens; SKILL.md has 33 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 33 words (~262 tokens).
- name
- prop-prompt
Files
SKILL.md and 3 other files in backend/workspace/skills/prompt-generator/prop-prompt of chatfire-AI/huobao-drama.
- SKILL.md
- SKILL.en.md
- SKILL.ja.md
- SKILL.ko.md
Open the folder on GitHubat commit 26de7df
Compare with similar skills
Prop Product-Shot Prompt Spec next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Prop Product-Shot Prompt Spec this skillchatfire-AI/huobao-drama | 16k | — | ~262 | Automated safety check: Pass | Custom licence | |
| AI Image Generation and Editingzhayujie/CowAgent | 47k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Structured Image Generationbytedance/deer-flow | 84k | 4 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Xiaohei Chinese Article Illustrationshelloianneo/ian-xiaohei-illustrations | 12k | 3 repos | ~470 | Automated safety check: Warn | MIT | |
| Canghe Comicfreestylefly/canghe-skills | 461 | 8 repos | ~3.2k | Automated safety check: Pass | None | |
| Nano Banana Pro Prompts Recommend SkillYouMind-OpenLab/nano-banana-pro-prompts-recommend-skill | 1.9k | 1 repos | ~4.1k | Automated safety check: Pass | None |
Similar skills
Structured Image Generation
bytedance/deer-flow
Turns an image request into a structured JSON prompt and runs a bundled Python script to generate the picture, optionally guided by reference images.
Xiaohei Chinese Article Illustrations
helloianneo/ian-xiaohei-illustrations
Plans and generates 16:9 hand-drawn illustrations for Chinese articles on a white background, with a recurring black character and a few red, orange and blue handwritten notes.
Canghe Comic
freestylefly/canghe-skills
Knowledge comic creator supporting multiple art styles and tones.
Nano Banana Pro Prompts Recommend Skill
YouMind-OpenLab/nano-banana-pro-prompts-recommend-skill
Recommend suitable prompts from 10,000+ Nano Banana Pro image generation prompts based on user needs.
Generate Image
ynulihao/AgentSkillOS
Generate or edit images using AI models (FLUX, Gemini). An agent skill from ynulihao/AgentSkillOS.
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Rewrites narrated novel chapters into a formatted screenplay with scene headers and dialogue, keeping the plot and cutting camera directions.
Drama Script Entity Extractor
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Rules for pulling characters, scenes and key props out of a short-drama episode script and saving them without duplicates, written in Chinese.
Storyboard Breakdown Rules
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Rules for splitting a script into storyboard segments of several sub-shots each, with timing, shot elements, and links to scenes, characters and props.
Related
Categories
Questions about Prop Product-Shot Prompt Spec
What does Prop Product-Shot Prompt Spec do?
Specifies how to write the final image prompt for a story prop: one item on a pure white background in a standard product-photo view, with true proportions. The prompt describes a single prop alone on a plain white background, shot like a standard product photo with nothing else in frame: no hands, people, other objects or scenery. Three firm requirements apply: the parts of the item keep accurate proportions, the whole item stays inside the frame with margin around it, and the background carries no story content.
When should I use Prop Product-Shot Prompt Spec?
Prop Product-Shot Prompt Spec fits situations like: writing the final image prompt for a prop in an AI-generated short drama; producing clean product-style reference images of objects on white backgrounds; checking that a prop prompt avoids people, scenery and cropped edges.
How do I install Prop Product-Shot Prompt Spec in Claude Code?
Run `npx skills add chatfire-AI/huobao-drama --skill prop-prompt -a claude-code`. Or copy the skill folder (backend/workspace/skills/prompt-generator/prop-prompt in chatfire-AI/huobao-drama) into .claude/skills/prop-prompt in your project. Claude Code loads it when a task matches its description.
How do I install Prop Product-Shot Prompt Spec in Codex?
Run `npx skills add chatfire-AI/huobao-drama --skill prop-prompt -a codex`. Or copy the skill folder (backend/workspace/skills/prompt-generator/prop-prompt in chatfire-AI/huobao-drama) into .agents/skills/prop-prompt in your project. Codex loads it when a task matches its description.
Can I use Prop Product-Shot Prompt Spec in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add chatfire-AI/huobao-drama --skill prop-prompt -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prop-prompt, .gemini/skills/prop-prompt, .github/skills/prop-prompt and .opencode/skills/prop-prompt in your project.
What does Prop Product-Shot Prompt Spec need to run?
SKILL.md names no scripts, command-line tools or credentials: Prop Product-Shot Prompt Spec is instructions for the agent only. Our summary lists: An image workflow that provides the `save_prop_final_prompt` tool.
Does Prop Product-Shot Prompt Spec access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Prop Product-Shot Prompt Spec safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Prop Product-Shot Prompt Spec use?
Prop Product-Shot Prompt Spec has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Prop Product-Shot Prompt Spec use?
About 262 tokens (SKILL.md is roughly 1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Prop Product-Shot Prompt Spec?
Skills that share tags, products or a category with Prop Product-Shot Prompt Spec: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Structured Image Generation (bytedance/deer-flow, 84k stars), Xiaohei Chinese Article Illustrations (helloianneo/ian-xiaohei-illustrations, 12k stars) and Canghe Comic (freestylefly/canghe-skills, 461 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Prop Product-Shot Prompt Spec?
chatfire-AI (a GitHub organization) maintains it in chatfire-AI/huobao-drama, which has 15,945 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 5, 2026.
Source: chatfire-AI/huobao-drama on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.