Indexado por la comunidad

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。

Precio sin confirmar★ 92 Estrellas de GitHubRegistro actualizado · 1 sept 2026vision multimodal claude-code

Resumen

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

Leer documentación completa

Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

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

Ver fuente ↗

Ver texto original

# 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

Revisar el código fuente

Precio y costes de ejecución

Obtener el skill: Precio sin confirmar
Ejecutarlo: Requisitos sin confirmar. Consulta los costes del agente, API y servicios en la fuente.
Licencia: MIT
Precio sin confirmar: No hemos confirmado el precio. Los enlaces existentes al código y a la instalación siguen disponibles.

Obtener gratis no significa ejecutar gratis. El precio no es una evaluación de seguridad. Enviar información de precio →

Estructura sin verificar

Publicar un repositorio no demuestra que sea un skill instalable. Revisa las instrucciones antes de proponer una instalación.

Revisar antes de instalar: Evitar instalación automática

Licencia: 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

Abrir auditoría completa

Las herramientas son indicios de metadatos, no compatibilidad probada. Los prompts son sugerencias.

Empieza con una tarea pequeña

1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.

Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.

Fuente y notas de uso

Indexado

Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.

Repositorio fuente: xiincs/claude-code-vision-skill
Licencia: MIT
Versión: 1.0.0
Último push de GitHub: 31 jul 2026
Registro actualizado: 1 sept 2026
Ruta de instrucciones: Estructura sin verificar

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

74/100

Sólido

Confianza

62/100

Solo sandbox

Auditoría

77/100

Requiere revisión

Abrir auditoría completa Ver informe de evaluación

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: —
Resultados: —

Copiar no es instalar. Los recuentos requieren un informe de instalación correcta, no garantizan calidad general.

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Creador: xiincs
Fuente: xiincs/claude-code-vision-skill
Indexado por: Índice comunitario de OpenAgentSkill

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Resumen

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）

Revisar el código fuente

Precio y costes de ejecución

Empieza con una tarea pequeña

Fuente y notas de uso

Acceso para agentes

Skills relacionados

Para el creador

Indexado por la comunidad

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