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canghe-image-gen苍河图像生成器

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。

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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:canghe-image-gen(苍河图像生成器)
来源仓库:https://github.com/freestylefly/canghe-skills
仓库路径:skills/canghe-image-gen
安装命令:
npx skills add https://github.com/freestylefly/canghe-skills --skill canghe-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/freestylefly/canghe-skills --skill canghe-image-gen

简介

用于辅助图像生成、图片编辑和视觉素材处理工作流。

  • 适合根据文本生成图片、处理背景或调用图像工具。
  • 使用时需确认输入图片、版权来源、输出格式和模型限制。
  • 安装命令:npx skills add https://github.com/freestylefly/canghe-skills --skill canghe-image-gen
  • 涉及人物、品牌或公开展示素材时,应额外核对授权与内容合规边界。

SKILL.md

Image Generation (AI SDK)

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

Script Directory

Agent Execution:

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

Preferences (EXTEND.md)

Use Bash to check EXTEND.md existence (priority order):

# Check project-level first
test -f .canghe-skills/canghe-image-gen/EXTEND.md && echo "project"

# Then user-level (cross-platform: $HOME works on macOS/Linux/WSL)
test -f "$HOME/.canghe-skills/canghe-image-gen/EXTEND.md" && echo "user"

┌──────────────────────────────────────────────────┬───────────────────┐ │ Path │ Location │ ├──────────────────────────────────────────────────┼───────────────────┤ │.canghe-skills/canghe-image-gen/EXTEND.md │ Project directory │ ├──────────────────────────────────────────────────┼───────────────────┤ │ $HOME/.canghe-skills/canghe-image-gen/EXTEND.md │ User home │ └──────────────────────────────────────────────────┴───────────────────┘

┌───────────┬───────────────────────────────────────────────────────────────────────────┐ │ Result │ Action │ ├───────────┼───────────────────────────────────────────────────────────────────────────┤ │ Found │ Read, parse, apply settings │ ├───────────┼───────────────────────────────────────────────────────────────────────────┤ │ Not found │ Use defaults │ └───────────┴───────────────────────────────────────────────────────────────────────────┘

EXTEND.md Supports: Default provider | Default quality | Default aspect ratio | Default image size | Default models

Schema: references/config/preferences-schema.md

Usage

# Basic
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image cat.png

# With aspect ratio
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A landscape" --image out.png --ar 16:9

# High quality
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --quality 2k

# From prompt files
npx -y bun ${SKILL_DIR}/scripts/main.ts --promptfiles system.md content.md --image out.png

# With reference images (Google multimodal or OpenAI edits)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Make blue" --image out.png --ref source.png

# With reference images (explicit provider/model)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Make blue" --image out.png --provider google --model gemini-3-pro-image-preview --ref source.png

# Specific provider
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider openai

# DashScope (阿里通义万象)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "一只可爱的猫" --image out.png --provider dashscope

# Canghe third-party gateway
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "一只可爱的猫" --image out.png --provider canghe

Options

OptionDescription
--prompt <text>, -pPrompt text
--promptfiles <files...>Read prompt from files (concatenated)
--image <path>Output image path (required)
`--provider google\openai\dashscope\canghe`Force provider (default: google)
--model <id>, -mModel ID (--ref with OpenAI requires GPT Image model, e.g. 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, OpenAI edits (GPT Image models), and Canghe (image_url). If provider omitted: Google first, then OpenAI, then Canghe
--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)
CANGHE_API_KEYCanghe API key
OPENAI_IMAGE_MODELOpenAI model override
GOOGLE_IMAGE_MODELGoogle model override
DASHSCOPE_IMAGE_MODELDashScope model override (default: z-image-turbo)
CANGHE_IMAGE_MODELCanghe model override (default: gemini-3-pro-image-preview)
OPENAI_BASE_URLCustom OpenAI endpoint
GOOGLE_BASE_URLCustom Google endpoint
DASHSCOPE_BASE_URLCustom DashScope endpoint
CANGHE_BASE_URLCustom Canghe endpoint (default: https://api.canghe.ai/v1)

Load Priority: CLI args > EXTEND.md > env vars > <cwd>/.canghe-skills/.env > ~/.canghe-skills/.env

Provider Selection

  1. --ref provided + no --provider → auto-select Google first, then OpenAI, then Canghe
  2. --provider specified → use it (if --ref, must be google or openai or canghe)
  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 or OpenAI GPT Image edits)

Extension Support

Custom configurations via EXTEND.md. See Preferences section for paths and supported options.

适合场景

01

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

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

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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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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