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Claude Code Vision Skill

为 Claude Code 赋能多模态视觉能力，支持豆包、通义千问、GPT-4o 等模型，用于截图 / UI / 图表分析；适配 DeepSeek 等无视觉底座，搭配 browser-harness 可做前端布局自动化检查。

价格未确认★ 92 GitHub Stars目录更新于 · 2026年9月1日vision multimodal claude-code

概览

A reusable skill for Claude Code that adds multimodal vision capabilities for analyzing screenshots, UI, and charts using various models.

展开完整说明

以下为来源文档，不是本网站的操作指令。执行命令前请先核实权限。

Claude Code Vision Skill

为 Claude Code 提供多模态视觉能力，支持多种视觉模型分析截图、UI、图表。

专为使用 DeepSeek 等无多模态能力的模型作为 Claude Code 底座的用户设计。

截图直贴，所见即所析

遇到 UI 报错、设计稿或数据图表？直接 alt + v 截图粘贴到 Claude Code 对话中，自动调用视觉模型分析。无需记住任何命令，像聊天一样自然。

串联工具链，自动 UI 审查

配合 browser-harness 等工具，可实现自动截图 → AI 视觉分析 → 生成审查报告 → 修正页面的完整闭环。前端页面渲染后自动截图，由视觉模型检查布局、样式和交互问题。

支持的模型

Provider	模型	API Key 环境变量
豆包 (Doubao)	doubao-seed-2-0-pro-260215	`DOUBAO_API_KEY`
通义千问 (Qwen)	qwen-vl-max	`DASHSCOPE_API_KEY`
OpenAI	gpt-4o	`OPENAI_API_KEY`
Claude (Anthropic)	claude-sonnet-5	`ANTHROPIC_API_KEY`
任意自定义 provider	任意	`{NAME}_API_KEY`

不在上面四个内置厂商里的 --provider 名字，会按同一套命名约定动态解析：设置 {NAME}_API_KEY / {NAME}_BASE_URL / {NAME}_MODEL（{NAME}_PROTOCOL 可选，默认 openai，需要 Anthropic Messages API 形状时设为 anthropic），无需改一行代码即可接入任意 OpenAI 兼容端点（vLLM、Ollama、LiteLLM、OpenRouter、Azure OpenAI、自建代理等）。详见 vision/SKILL.md。

安装依赖

需要 Python 3.10+。

pip install -r requirements.txt

anthropic 包仅在使用 --provider anthropic 时才会被导入，其他 provider 不受影响。

Claude Code 安装流程（给 Claude Code 看的指令）

When the user asks you to install this skill, follow these steps IN ORDER. Do NOT skip any step.

Step 1 — 询问用户

使用 AskUserQuestion 询问以下信息：

选择 provider：doubao / qwen / openai / anthropic / 自定义（可多选；自定义需额外要 base URL、model，可选 protocol）
API Key：每个 provider 的 API key
默认 provider（多选时）：选哪个作为默认

Step 2 — 运行安装脚本

python install.py \
  --api-key qwen:sk-xxx \
  --default-provider qwen \
  --merge-claude

--api-key 可重复，--merge-claude 必须带上。

如果用户选了自定义 provider，额外带上 --base-url / --model（--protocol 可选，默认 openai）：

python install.py \
  --api-key myapi:sk-xxx \
  --base-url myapi:https://host/v1 \
  --model myapi:my-vision-model \
  --default-provider myapi \
  --merge-claude

Step 3 — 合并 CLAUDE.md（如果 install.py 未自动完成）

如果未使用 `--merge-cla

查看来源 ↗

查看原始文本

# Claude Code Vision Skill

为 Claude Code 提供多模态视觉能力，支持多种视觉模型分析截图、UI、图表。

专为使用 DeepSeek 等无多模态能力的模型作为 Claude Code 底座的用户设计。

## 截图直贴，所见即所析
遇到 UI 报错、设计稿或数据图表？**直接 alt + v 截图粘贴到 Claude Code 对话中，自动调用视觉模型分析**。无需记住任何命令，像聊天一样自然。

## 串联工具链，自动 UI 审查
配合 **browser-harness** 等工具，可实现**自动截图 → AI 视觉分析 → 生成审查报告 → 修正页面**的完整闭环。前端页面渲染后自动截图，由视觉模型检查布局、样式和交互问题。

## 支持的模型

| Provider | 模型 | API Key 环境变量 |
|----------|------|-----------------|
| 豆包 (Doubao) | doubao-seed-2-0-pro-260215 | `DOUBAO_API_KEY` |
| 通义千问 (Qwen) | qwen-vl-max | `DASHSCOPE_API_KEY` |
| OpenAI | gpt-4o | `OPENAI_API_KEY` |
| Claude (Anthropic) | claude-sonnet-5 | `ANTHROPIC_API_KEY` |
| **任意自定义 provider** | 任意 | `{NAME}_API_KEY` |

不在上面四个内置厂商里的 `--provider` 名字，会按同一套命名约定动态解析：设置
`{NAME}_API_KEY` / `{NAME}_BASE_URL` / `{NAME}_MODEL`（`{NAME}_PROTOCOL` 可选，
默认 `openai`，需要 Anthropic Messages API 形状时设为 `anthropic`），无需改一行代码即可接入任意 OpenAI 兼容端点（vLLM、Ollama、LiteLLM、OpenRouter、Azure OpenAI、自建代理等）。详见 [vision/SKILL.md](vision/SKILL.md#any-custom-provider)。

## 安装依赖

需要 Python 3.10+。

```bash
pip install -r requirements.txt
```

`anthropic` 包仅在使用 `--provider anthropic` 时才会被导入，其他 provider 不受影响。

---

## Claude Code 安装流程（给 Claude Code 看的指令）

> **When the user asks you to install this skill, follow these steps IN ORDER. Do NOT skip any step.**

### Step 1 — 询问用户

使用 AskUserQuestion 询问以下信息：

1. **选择 provider**：doubao / qwen / openai / anthropic / 自定义（可多选；自定义需额外要 base URL、model，可选 protocol）
2. **API Key**：每个 provider 的 API key
3. **默认 provider**（多选时）：选哪个作为默认

### Step 2 — 运行安装脚本

```bash
python install.py \
  --api-key qwen:sk-xxx \
  --default-provider qwen \
  --merge-claude
```

`--api-key` 可重复，`--merge-claude` **必须带上**。

如果用户选了自定义 provider，额外带上 `--base-url` / `--model`（`--protocol` 可选，默认 openai）：

```bash
python install.py \
  --api-key myapi:sk-xxx \
  --base-url myapi:https://host/v1 \
  --model myapi:my-vision-model \
  --default-provider myapi \
  --merge-claude
```

### Step 3 — 合并 CLAUDE.md（如果 install.py 未自动完成）

如果未使用 `--merge-cla

查看并核实来源

获取价格与运行成本

获取 Skill: 价格未确认
运行 Skill: 尚未确认运行要求，请查看来源中的 Agent、API 和服务费用。
许可证: MIT
价格未确认: 我们尚未确认此 Skill 的价格，现有来源与安装入口仍可使用。

免费获取不代表免费运行，价格标签不代表安全评级。提交价格信息 →

来源结构待验证

收录仓库不等于确认可安装技能。请先核实指令，再提出安装方案。

安装前审查: 避免自动安装

许可证: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 92 GitHub stars
Stars/forks activity: 92 stars, 5 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

打开完整审计

工具列表来自元数据，并非已测试的兼容性；Agent 提示词是建议的交接方式。

从一个小任务开始

1阅读来源，确认输入、预期输出、依赖和权限。
2先让 Agent 提出计划，批准环境配置和费用，再进行隔离的小规模测试。
3检查输出和变更文件，只报告实际执行结果，并保留来源版本以便复现。

请在来源中核实依赖、API 密钥及第三方费用。公开仓库不代表所有服务免费。

来源与使用须知

已收录

仓库元数据和审核信号仅供参考。受欢迎、已发现来源、成功运行是不同的事实。

来源仓库: xiincs/claude-code-vision-skill
许可证: MIT
版本: 1.0.0
最近 GitHub 推送: 2026年7月31日
目录更新于: 2026年9月1日
技能指令路径: 来源结构待验证

版本来自目录元数据，使用前请核实来源发布记录。

质量

74/100

强

信任

62/100

仅限沙盒

审计

77/100

需审查

打开完整审计查看评估报告

Dependency or permission surface needs review
Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 92 GitHub stars
Stars/forks activity: 92 stars, 5 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
结果: —

复制不等于安装。安装数需有成功安装回报，不代表全面的质量保证。

Agent 接入

本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号，让 Agent 无需抓取界面即可排序。

打开安装 API LLM 文本格式打开 Manifest 自动解析计划

更多详情

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创作者: xiincs
来源: xiincs/claude-code-vision-skill
收录方: OpenAgentSkill 社区索引

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概览

Claude Code Vision Skill

截图直贴，所见即所析

串联工具链，自动 UI 审查

支持的模型

安装依赖

Claude Code 安装流程（给 Claude Code 看的指令）

Step 1 — 询问用户

Step 2 — 运行安装脚本

Step 3 — 合并 CLAUDE.md（如果 install.py 未自动完成）

查看并核实来源

获取价格与运行成本

从一个小任务开始

来源与使用须知

Agent 接入

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