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baoyu-image-gen宝玉图像生成器

Agent Skill

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

总安装

474

周安装

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GitHub Stars

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下载量

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CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:baoyu-image-gen(宝玉图像生成器)
来源仓库:https://github.com/tentacle-pro/skills
仓库路径:skills/baoyu-image-gen
安装命令:
npx skills add https://github.com/tentacle-pro/skills --skill baoyu-image-gen
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/tentacle-pro/skills --skill baoyu-image-gen

简介

baoyu-image-gen 用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流,适合让 Agent 根据文本生成图片或处理背景。

  • 适用于图像处理、视觉素材生成等场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,具体用法可参考原始 README。
  • 使用时需确认输入图片、版权来源和输出格式;涉及人物、品牌或公开展示素材时应额外核对授权和合规性。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Image Generation (AI SDK)

Official API-based image generation. Supports OpenAI, Google, DashScope (阿里通义万象) and Replicate providers.

Script Directory

Agent Execution:

  1. SKILL_DIR = this SKILL.md file's directory
  2. Script path = ${SKILL_DIR}/scripts/main.ts

Usage

# Basic
bun .agents/skills/baoyu-image-gen/scripts/main.ts --prompt "A cat" --image cat.png

# With aspect ratio
bun .agents/skills/baoyu-image-gen/scripts/main.ts --prompt "A landscape" --image out.png --ar 16:9

# High quality
bun .agents/skills/baoyu-image-gen/scripts/main.ts --prompt "A cat" --image out.png --quality 2k

# From prompt files
bun .agents/skills/baoyu-image-gen/scripts/main.ts --promptfiles system.md content.md --image out.png

# With reference images (Google multimodal or OpenAI edits)
bun .agents/skills/baoyu-image-gen/scripts/main.ts --prompt "Make blue" --image out.png --ref source.png

# With reference images (explicit provider/model)
bun .agents/skills/baoyu-image-gen/scripts/main.ts --prompt "Make blue" --image out.png --provider google --model gemini-3-pro-image-preview --ref source.png

# Specific provider
bun .agents/skills/baoyu-image-gen/scripts/main.ts --prompt "A cat" --image out.png --provider openai

# DashScope (阿里通义万象)
bun .agents/skills/baoyu-image-gen/scripts/main.ts --prompt "一只可爱的猫" --image out.png --provider dashscope

# Replicate (google/nano-banana-pro)
bun .agents/skills/baoyu-image-gen/scripts/main.ts --prompt "A cat" --image out.png --provider replicate

# Replicate with specific model
bun .agents/skills/baoyu-image-gen/scripts/main.ts --prompt "A cat" --image out.png --provider replicate --model google/nano-banana

Options

OptionDescription
--prompt <text>, -pPrompt text
--promptfiles <files...>Read prompt from files (concatenated)
--image <path>Output image path (required)
`--provider google\openai\dashscope\replicate`Force provider (default: google)
--model <id>, -mModel ID (Google: gemini-3-pro-image-preview, gemini-3.1-flash-image-preview; OpenAI: gpt-image-1.5)
--ar <ratio>Aspect ratio (e.g., 16:9, 1:1, 4:3)
--size <WxH>Size (e.g., 1024x1024)
`--quality normal\2k`Quality preset (default: 2k)
`--imageSize 1K\2K\4K`Image size for Google (default: from quality)
--ref <files...>Reference images. Supported by Google multimodal (gemini-3-pro-image-preview, gemini-3-flash-preview, gemini-3.1-flash-image-preview) and OpenAI edits (GPT Image models). If provider omitted: Google first, then OpenAI
--n <count>Number of images
--jsonJSON output

Environment Variables

VariableDescription
OPENAI_API_KEYOpenAI API key
GOOGLE_API_KEYGoogle API key
DASHSCOPE_API_KEYDashScope API key (阿里云)
REPLICATE_API_TOKENReplicate API token
OPENAI_IMAGE_MODELOpenAI model override
GOOGLE_IMAGE_MODELGoogle model override
DASHSCOPE_IMAGE_MODELDashScope model override (default: z-image-turbo)
REPLICATE_IMAGE_MODELReplicate model override (default: google/nano-banana-pro)
OPENAI_BASE_URLCustom OpenAI endpoint
GOOGLE_BASE_URLCustom Google endpoint
DASHSCOPE_BASE_URLCustom DashScope endpoint
REPLICATE_BASE_URLCustom Replicate endpoint

Load Priority: CLI args > env vars > .agents/skills/.env

Model Resolution

Model priority (highest → lowest), applies to all providers:

  1. CLI flag: --model <id>
  2. Env var: <PROVIDER>_IMAGE_MODEL (e.g., GOOGLE_IMAGE_MODEL)
  3. Built-in default

Agent MUST display model info before each generation:

  • Show: Using [provider] / [model]
  • Show switch hint: Switch model: --model <id> | env <PROVIDER>_IMAGE_MODEL

Replicate Models

Supported model formats:

  • owner/name (recommended for official models), e.g. google/nano-banana-pro
  • owner/name:version (community models by version), e.g. stability-ai/sdxl:<version>

Examples:

# Use Replicate default model
bun .agents/skills/baoyu-image-gen/scripts/main.ts --prompt "A cat" --image out.png --provider replicate

# Override model explicitly
bun .agents/skills/baoyu-image-gen/scripts/main.ts --prompt "A cat" --image out.png --provider replicate --model google/nano-banana

Provider Selection

  1. --ref provided + no --provider → auto-select Google first, then OpenAI, then Replicate
  2. --provider specified → use it (if --ref, must be google, openai, or replicate)
  3. Only one API key available → use that provider
  4. Multiple available → default to Google

Quality Presets

PresetGoogle imageSizeOpenAI SizeUse Case
normal1K1024pxQuick previews
2k (default)2K2048pxCovers, illustrations, infographics

Google imageSize: Can be overridden with --imageSize 1K|2K|4K

Aspect Ratios

Supported: 1:1, 16:9, 9:16, 4:3, 3:4, 2.35:1

  • Google multimodal: uses imageConfig.aspectRatio
  • Google Imagen: uses aspectRatio parameter
  • OpenAI: maps to closest supported size

Generation Mode

Default: Sequential generation (one image at a time). This ensures stable output and easier debugging.

Parallel Generation: Only use when user explicitly requests parallel/concurrent generation.

ModeWhen to Use
Sequential (default)Normal usage, single images, small batches
ParallelUser explicitly requests, large batches (10+)

Parallel Settings (when requested):

SettingValue
Recommended concurrency4 subagents
Max concurrency8 subagents
Use caseLarge batch generation when user requests parallel

Agent Implementation (parallel mode only):

# Launch multiple generations in parallel using Task tool
# Each Task runs as background subagent with run_in_background=true
# Collect results via TaskOutput when all complete

Error Handling

  • Missing API key → error with setup instructions
  • Generation failure → auto-retry once
  • Invalid aspect ratio → warning, proceed with default
  • Reference images with unsupported provider/model → error with fix hint (switch to Google multimodal: gemini-3-pro-image-preview, gemini-3.1-flash-image-preview; or OpenAI GPT Image edits)

Configuration

Use .agents/skills/.env for provider keys and defaults.

适合场景

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用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

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需要对比不同来源的安装命令和来源信息时

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能力 2

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能力 3

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能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

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按下载量换算58

Claude

28.03%
按下载量换算43

Cursor

16.63%
按下载量换算26

Gemini CLI

8.53%
按下载量换算13

安全审计

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可疑

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通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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