freestylefly/canghe-skills

canghe-image-gen

AI image generation with OpenAI, Google, DashScope and Canghe APIs. Supports text-to-image, reference images, aspect ratios. Sequential by default; parallel generation available on request. Use when user asks to generate, create, or draw images.

First seen Feb 24, 2026

Installation

$ npx skills add freestylefly/canghe-skills --skill canghe-image-gen

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 448
License MIT
Default branch master
Open issues 1
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents gemini

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 8,616 B
  • docs SUMMARY.md 3,217 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 582 installs

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

Option Description
--prompt <text>, -p Prompt 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>, -m Model 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
--json JSON output

Environment Variables

Variable Description
OPENAIAPIKEY OpenAI API key
GOOGLEAPIKEY Google API key
DASHSCOPEAPIKEY DashScope API key (阿里云)
CANGHEAPIKEY Canghe API key
OPENAIIMAGEMODEL OpenAI model override
GOOGLEIMAGEMODEL Google model override
DASHSCOPEIMAGEMODEL DashScope model override (default: z-image-turbo)
CANGHEIMAGEMODEL Canghe model override (default: gemini-3-pro-image-preview)
OPENAIBASEURL Custom OpenAI endpoint
GOOGLEBASEURL Custom Google endpoint
DASHSCOPEBASEURL Custom DashScope endpoint
CANGHEBASEURL Custom 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

Preset Google imageSize OpenAI Size Use Case
normal 1K 1024px Quick previews
2k (default) 2K 2048px Covers, 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.

Mode When to Use
Sequential (default) Normal usage, single images, small batches
Parallel User explicitly requests, large batches (10+)

Parallel Settings (when requested):

Setting Value
Recommended concurrency 4 subagents
Max concurrency 8 subagents
Use case Large 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.