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// Claude Skills

hello-multimodal

Claude Code skill: visual understanding & image generation with multi-channel fallback

// Claude Skills[ api ][ desktop ][ web ][ claude ]#claude#skillsApache-2.0$open-sourceupdated 15 days ago
Actively maintained
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last commit 23 days ago
last release none
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// install
git clone https://github.com/hellowind777/hello-multimodal

HelloMultimodal

Visual understanding & image generation skill for Claude Code. Multi-provider, multi-channel fallback. v0.3.2 — Pure stdlib, zero external dependencies.

English | 中文


🏅 This project is linked & recognized by the LINUX DO community.


English

A Claude Code skill that provides visual understanding and image generation capabilities through external multimodal APIs. Fully self-contained — zero external dependencies, pure Python stdlib, runs anywhere.

Design Philosophy

This skill follows the official Anthropic Agent Skills standard: it describes when it should be invoked without constraining or commenting on the host model's capabilities. Trigger logic is based on message content (presence of images), not keywords. The host model tries native processing first; the skill handles the fallback when needed.

Highlights

  • Message-driven activation — triggers when user messages contain images, not by keyword matching
  • Try-first-then-fallback — host model attempts native processing; skill steps in only when needed
  • Multi-provider vision — GPT-4o, Kimi K2.6, MiniMax-M3, Claude Sonnet/Opus, Ollama, vLLM, and any OpenAI-compatible proxy
  • Multi-endpoint generationresponsesimagesimages-editschat auto-fallback chain, plus SD WebUI (A1111) support
  • Pure stdlib — both vision.py and generate.py use only the Python standard library
  • Safe output paths — blocks writes to Desktop, Downloads, Documents, etc.; defaults to stdout for vision, ./output/ for generation
  • Windows UTF-8 support — automatic stdout/stderr encoding fix at module level
  • Path normalization — backslash-to-forward-slash for Windows shell compatibility

Quick Start

cp config.example.json config.json
# Edit config.json with your API credentials
ln -s "$(pwd)" ~/.claude/skills/hello-multimodal

Supported Providers

Vision

Providerapi_formatbase_urlModel Example
OpenAIopenaihttps://api.openai.com/v1gpt-4o
Kimi (Moonshot)openaihttps://api.moonshot.ai/v1kimi-k2.6
MiniMaxopenaihttps://api.minimax.io/v1MiniMax-M3
Claude (Anthropic)anthropichttps://api.anthropic.comclaude-sonnet-4-20250514
Ollama (local)openaihttp://localhost:11434/v1minicpm-v:latest
vLLM / LocalAIopenaihttp://localhost:8000/v1Qwen2.5-VL-7B

Any OpenAI-compatible proxy works with api_format: "openai".

Image Generation

Providerendpoint_modebase_url
OpenAI / GPT-imageautohttps://api.openai.com
AI/ML API (Nano Banana Pro)imageshttps://api.aimlapi.com/v1
fal.ai (Nano Banana Pro)imageshttps://fal.run
SD WebUI (A1111)sd-webuihttp://localhost:7860

See config.example.json for complete channel templates.

Usage

Vision Analysis

python scripts/vision.py --image screenshot.png --prompt "Describe this UI"
python scripts/vision.py --image-dir ./pages/ --prompt "Extract key info"
python scripts/vision.py --channel 2 --image ./img.png --prompt "..."

Image Generation

python scripts/generate.py --prompt "A safety infographic" --output ./output/chart.png
python scripts/generate.py --prompt "oil painting style" --image ./sketch.png --output ./output/painting.png
python scripts/generate.py --prompt "fantasy concept" --count 3 --output ./output/monster.png
python scripts/generate.py --endpoint-mode sd-webui --prompt "a cat" --output ./output/cat.png
python scripts/generate.py --prompt "test" --dry-run

Routing

TaskBehavior
Image in messageHost model tries first. If it can't process the image, the skill handles it via an external vision API.
Image generationAlways handled by the skill.

Configuration

Each channel in config.json supports:

FieldDescription
api_key / image_api_keySeparate credentials for vision vs generation
model / image_modelDifferent models for different tasks
responses_model / chat_modelModel overrides for specific endpoints
image_base_urlSeparate base URL for image generation
api_formatopenai (default), anthropic (Claude native), sd-webui (A1111)
vision / generateEnable/disable capabilities per channel
priorityLower = tried first, auto-fallback on failure

Repository

hello-multimodal/
├── SKILL.md              # Skill definition for Claude Code
├── README.md
├── LICENSE
├── VERSION
├── config.example.json   # Provider templates
├── config.json           # Your credentials (gitignored)
├── .gitignore
└── scripts/
    ├── vision.py         # Visual understanding (stdlib only)
    └── generate.py       # Image generation (stdlib only)

Changelog

v0.3.2

  • SKILL.md: rewritten to follow official Anthropic Agent Skills standard — third-person, message-driven activation, no keyword matching, no model capability commentary
  • SKILL.md: simplified body — removed proxy-mapping, capability-probe, and error-recognition sections that constrained the host model
  • vision.py: module-level UTF-8 stdout/stderr encoding fix for Windows (avoids GBK errors)
  • vision.py: path normalization — backslash → forward slash for Windows shell compatibility
  • vision.py: graceful error on missing image files (structured JSON error instead of FileNotFoundError crash)
  • generate.py: module-level UTF-8 encoding fix
  • generate.py: reference image path normalization
  • vision.py + generate.py: output path safety — blocks writes to Desktop, Downloads, Documents, etc.
  • SKILL.md: Windows path guidance note added

v0.3.1

  • Anthropic native Messages API support, stdlib-only refactor, webp/gif support, SD WebUI support, browser UA, semantic error matching, 10 provider templates

v0.2.1

  • Timeout calibration, Retry-After header support, 402 fast-fail, bugfixes

v0.2.0

  • gpt-image-2 --thinking and --seed, multi-image --count, endpoint mode, dry-run, quiet mode, semantic layout analysis

v0.1.0

  • Initial release: visual understanding + image generation via config.json channels

License

Apache 2.0 — see LICENSE


中文

一个 Claude Code 技能,通过外部多模态 API 提供视觉理解和图片生成能力。完全自包含——零外部依赖,纯 Python 标准库,随处可跑。

设计哲学

遵循 Anthropic 官方 Agent Skills 标准:描述何时应被调用,不约束或评论主模型的能力。基于消息内容(图片存在性)触发,不依赖关键词匹配。主模型优先尝试原生处理,必要时技能介入。

亮点

  • 消息驱动激活 — 用户消息含图片即触发,不靠关键词匹配
  • 先试后降级 — 主模型先尝试,不行再由技能接管
  • 多渠道视觉 — GPT-4o、Kimi K2.6、MiniMax-M3、Claude Sonnet/Opus、Ollama、vLLM 及任意 OpenAI 兼容代理
  • 多端点生图responsesimagesimages-editschat 自动 fallback 链,支持 SD WebUI (A1111)
  • 纯标准库 — vision.py 和 generate.py 仅依赖 Python 标准库
  • 安全输出路径 — 阻止写入桌面、下载、文档等目录;视觉默认 stdout,生图默认 ./output/
  • Windows UTF-8 — 模块级自动 stdout/stderr 编码修复
  • 路径归一化 — Windows 反斜杠自动转正斜杠

快速开始

cp config.example.json config.json
# 编辑 config.json 填入 API 凭据
ln -s "$(pwd)" ~/.claude/skills/hello-multimodal

支持的提供商

视觉理解

提供商api_formatbase_url模型示例
OpenAIopenaihttps://api.openai.com/v1gpt-4o
Kimi(月之暗面)openaihttps://api.moonshot.ai/v1kimi-k2.6
MiniMaxopenaihttps://api.minimax.io/v1MiniMax-M3
Claude(Anthropic)anthropichttps://api.anthropic.comclaude-sonnet-4-20250514
Ollama(本地)openaihttp://localhost:11434/v1minicpm-v:latest
vLLM / LocalAIopenaihttp://localhost:8000/v1Qwen2.5-VL-7B

任意 OpenAI 兼容代理使用 api_format: "openai" 即可。

图片生成

提供商endpoint_modebase_url
OpenAI / GPT-imageautohttps://api.openai.com
AI/ML API(Nano Banana Pro)imageshttps://api.aimlapi.com/v1
fal.ai(Nano Banana Pro)imageshttps://fal.run
SD WebUI (A1111)sd-webuihttp://localhost:7860

完整模板见 config.example.json

使用

视觉分析

python scripts/vision.py --image screenshot.png --prompt "描述这张UI"
python scripts/vision.py --image-dir ./pages/ --prompt "提取关键信息"
python scripts/vision.py --channel 2 --image ./img.png --prompt "..."

图片生成

python scripts/generate.py --prompt "施工安全信息图" --output ./output/chart.png
python scripts/generate.py --prompt "变成油画风格" --image ./sketch.png --output ./output/painting.png
python scripts/generate.py --prompt "幻想生物概念" --count 3 --output ./output/monster.png
python scripts/generate.py --endpoint-mode sd-webui --prompt "一只猫" --output ./output/cat.png
python scripts/generate.py --prompt "test" --dry-run

路由

场景行为
消息含图片主模型先尝试,无法处理时由技能通过外部视觉 API 接管
要求生图始终由技能处理

配置

每个渠道支持:

字段说明
api_key / image_api_key视觉/生图分离凭据
model / image_model不同任务用不同模型
responses_model / chat_model特定端点模型覆盖
image_base_url生图专用 base URL
api_formatopenai(默认)、anthropic(Claude 原生)、sd-webui(A1111)
vision / generate按渠道启停能力
priority越小越优先,失败自动 fallback

仓库结构

hello-multimodal/
├── SKILL.md              # Claude Code 技能定义
├── README.md
├── LICENSE
├── VERSION
├── config.example.json   # 提供商模板
├── config.json           # 凭据(已 gitignored)
├── .gitignore
└── scripts/
    ├── vision.py         # 视觉理解(纯标准库)
    └── generate.py       # 图片生成(纯标准库)

更新日志

v0.3.2

  • SKILL.md:遵循 Anthropic 官方 Agent Skills 标准重写 — 第三人称、消息驱动激活、无关键词匹配、不评论模型能力
  • SKILL.md:精简 body — 移除代理映射、capability-probe、报错识别等约束主模型的章节
  • vision.py:模块级 UTF-8 编码修复(Windows GBK 错误)
  • vision.py:路径归一化 — 反斜杠自动转正斜杠
  • vision.py:图片不存在时优雅报错(JSON 错误取代 FileNotFoundError 崩溃)
  • generate.py:模块级 UTF-8 编码修复
  • generate.py:参考图路径归一化
  • vision.py + generate.py:输出路径安全 — 阻止写入桌面/下载/文档等目录
  • SKILL.md:新增 Windows 路径注意事项

v0.3.1

  • Anthropic 原生 Messages API、纯标准库重构、webp/gif 支持、SD WebUI、浏览器 UA、语义错误匹配、10 提供商模板

v0.2.1

  • 超时校准、Retry-After 头支持、402 快速失败、bug 修复

v0.2.0

  • gpt-image-2 --thinking--seed、多图 --count、端点模式、调试模式、语义画幅分析

v0.1.0

  • 初始版本:视觉理解 + 图片生成

许可证

Apache 2.0 — 详见 LICENSE


🏅 此项目已链接认可 LINUX DO 社区。

// compatibility

Platformsapi, desktop, web
Operating systems
AI compatibilityclaude
LicenseApache-2.0
Pricingopen-source
LanguagePython

// faq

What is hello-multimodal?

Claude Code skill: visual understanding & image generation with multi-channel fallback. It is open-source on GitHub.

Is hello-multimodal free to use?

hello-multimodal is open-source under the Apache-2.0 license, so it is free to use.

What category does hello-multimodal belong to?

hello-multimodal is listed under skills in the Claudeers registry of Claude-compatible tools.

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