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用多模型视觉能力分析图片内容、提取文字并回答图像相关问题。
复制安装指令，让 AI 自动完成配置 · 推荐新手
请帮我安装 askskill 上的 "image-vision" 技能： 1. 下载 https://raw.githubusercontent.com/microsoft/amplifier-bundle-skills/main/skills/image-vision/SKILL.md 2. 保存为 ~/.claude/skills/image-vision/SKILL.md 3. 装好后重载技能，告诉我可以用了
请分析这张图片的主要内容，列出关键对象、场景环境、可见文字，以及它可能传达的主题。
返回结构化的图像描述，包括主要元素、文字内容和主题判断。
请从这张图片中提取所有可见文字，按阅读顺序输出，并标注可能不清晰的部分。
输出按顺序整理的 OCR 文字结果，并提示识别不确定的内容。
请比较这两张图片的差异，从布局、颜色、文字、对象变化四个方面总结，并指出最明显的不同。
生成清晰的差异对比结果，便于审阅版本变化或设计修改。
Analyze images using state-of-the-art LLM vision models. Use the provided scripts for most tasks - custom code only needed for advanced scenarios.
→ Read setup.md for one-time environment and API key setup
→ Use "Quick Start" canned scripts below
→ Read patterns.md for advanced patterns
→ Check setup.md for troubleshooting
ALWAYS use the wrapper scripts - they handle venv setup automatically:
# Simple analysis (auto-creates venv on first use)
./vision-analyze.sh <provider> <image_path> <prompt>
# Robust analysis (auto-fallback if provider times out)
./vision-analyze-robust.sh <image_path> <prompt> [timeout_seconds]
The wrapper scripts automatically:
Example usage:
# Analyze a UI screenshot (Anthropic Claude)
./vision-analyze.sh anthropic screenshot.png "Describe any UI bugs or issues you see"
# Extract text (Google Gemini - fastest)
./vision-analyze.sh gemini document.jpg "Extract all text from this image"
# Robust analysis with auto-fallback (tries Gemini → Anthropic → OpenAI)
./vision-analyze-robust.sh photo.png "Describe this image in detail"
# With custom timeout (default is 60 seconds)
./vision-analyze-robust.sh large-image.png "Analyze this" 120
If you need to call the Python scripts directly, you MUST use the venv Python:
# ❌ WRONG - uses system Python, will fail
python examples/anthropic-vision.py image.png "prompt"
# ✅ CORRECT - uses venv Python
./.venv/bin/python examples/anthropic-vision.py image.png "prompt"
For agents: Always use the wrapper scripts to avoid setup issues.
| Provider | Model | Best For | Speed | Cost |
|---|---|---|---|---|
| Anthropic | claude-sonnet-4-5 | Latest, balanced quality/speed | Fast | $$ |
| Anthropic | claude-3-opus | Highest quality (older) | Slow | $$$ |
| Anthropic | claude-3-haiku | Fastest, simple tasks | Very Fast | $ |
| OpenAI | gpt-5 | Latest flagship model | Fast | $$$ |
| OpenAI | gpt-4.1 | High-volume production | Fast | $$ |
| Gemini | gemini-2.5-flash | Latest, excellent balance | Very Fast | $ |
| Gemini | gemini-2.5-pro | Large images, best quality | Medium | $$ |
| Azure | (deployment-based) | Enterprise, compliance | Varies | Varies |
Max sizes:
# UI/UX Analysis - High-level layout and spacing
./vision-analyze.sh anthropic app-screenshot.png \
"Analyze this UI for accessibility issues and suggest improvements"
# Bug Identification (use robust for auto-fallback)
./vision-analyze-robust.sh error-state.png \
"What's wrong with this interface? Describe any visual bugs."
# Content Moderation
./vision-analyze.sh openai user-upload.jpg \
"Does this image contain inappropriate content? Yes or no, and explain."
# Document Understanding (Gemini is fastest)
./vision-analyze.sh gemini invoice.png \
"Extract the total amount, date, and vendor name from this invoice"
# Design Review - Layout, color, hierarchy (not typography details)
./vision-analyze-robust.sh mockup.png \
"Provide design feedback on this mockup. Consider layout, color hierarchy, and spacing."
…
帮助你调研、规划并并行执行大规模代码变更，让多个代理分别提交 PR。
帮助开发者设计安全持久的配置与状态文件管理模式，兼顾默认值合并和崩溃恢复。
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帮助开发与运维设计兼顾本地顺畅和远程安全的认证与 TLS 接入方案。
帮助开发者设计易安装、易扩展且配置分层清晰的 CLI 工具模式。
帮助开发者设计可扩展系统，实现运行时插件发现、注册与校验。
帮助用户识别图片内容、提取图片文字，并用自定义提示完成视觉分析。
用视觉模型解析图片内容并生成详细描述，便于其他 AI 理解图像信息。
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让 AI 通过视觉模型分析图片视频、识别文字并比较视觉内容。
用支持视觉的 AI 模型完成图像分析、OCR、场景描述与图片比对。
使用 Qwen 视觉模型分析本地或远程图片内容并提取关键信息