Vision Support

Community

WALKERKILLER

vision-support

为非多模态模型（如 deepseek-v4-pro、GLM-5.1、mimo-v2.5-pro 等纯文本模型）提供图片识别能力。当主模型无法识别图片、用户发送了截图/设计稿/UI 截图需要分析、或者用户说'看看这张图'、'分析这个截图'、'这张图片有什么问题'时，自动触发此技能。也适用于用户粘贴了图片但当前模型不支持图片输入的任何场景。支持同时识别多张图片，通过配置多个识图模型实现主备回退。使用指令 /skill:vision-support 或 /vision 也可手动触发。铁律：本技能配置的模型仅用于图片内容识别，绝不参与主逻辑推理。注意：如果当前模型本身是多模态模型（如 Claude Sonnet 4、GPT-4o、Gemini 等可以直接识图的模型），不要使用此技能，直接让主模型识别即可。

Overview

Publisher	WALKERKILLER
Repository	`Look-Tongji-Notes`
Skill name	`vision-support`
Stars	51
Forks	7
Bundled files	16
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
16 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by WALKERKILLER on GitHub. Read the source before you install it.

Installation

Install the Vision Support AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/WALKERKILLER/Look-Tongji-Notes/tree/main/vision-support
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/WALKERKILLER/Look-Tongji-Notes.git /tmp/Look-Tongji-Notes
mkdir -p .claude/skills
cp -r /tmp/Look-Tongji-Notes/vision-support .claude/skills/vision-support

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vision Support in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Vision Support on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Vision Support is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Vision Support — 非多模态模型的图片识别桥接

铁律：本技能配置的所有模型仅用于图片内容识别，绝不参与主逻辑推理。 这些模型不会代替主模型做任何决策、分析或编码，它们只负责"看"图片然后把看到的内容用文字描述出来。

什么时候使用此技能

用户在对话中附带了图片，但当前模型不支持图片理解
用户提到截图/图片/界面/设计："看看这个截图"、"界面有问题"、"这个设计稿"
用户描述了一个视觉问题但说不清楚："网页显示不对"、"布局乱了"
agent 在工作中遇到图片文件（PNG/JPG/WebP 等）
通过指令 /vision 或 /skill:vision-support 手动触发

首次使用 — 一键初始化

bash
node SKILL_DIR/scripts/vision.mjs init

交互式引导，只需三步：

选 Provider — 从预置的主流平台列表中选择
填密钥 — 输入 API Key（或环境变量名）
选模型 — 自动从 API 拉取可用模型列表供选择（如拉取失败则显示推荐列表）

支持的平台覆盖国内外主流：

分类	平台
国际	OpenAI、Google Gemini、Anthropic Claude、DeepSeek、Groq、Mistral、xAI (Grok)、OpenRouter、Fireworks AI
国内	通义千问 (Qwen VL)、智谱 GLM (GLM-4V)、Moonshot (Kimi)、阶跃星辰 (Step)、MiniMax、SiliconFlow (硅基流动)、小米 MiMo
本地	Ollama、LM Studio
自定义	任何 OpenAI 兼容的第三方平台（自填 baseUrl）

添加备用模型

bash
node SKILL_DIR/scripts/vision.mjs config add

同样的交互式引导，添加的模型作为 fallback 回退。主模型失败后自动尝试。

所有配置命令

bash
# 交互式
node SKILL_DIR/scripts/vision.mjs init                    # 初始化主模型
node SKILL_DIR/scripts/vision.mjs config add              # 添加 fallback
node SKILL_DIR/scripts/vision.mjs config edit [name]      # 编辑模型

# 快捷命令
node SKILL_DIR/scripts/vision.mjs config list             # 列出所有模型
node SKILL_DIR/scripts/vision.mjs config primary [name]   # 设置主模型
node SKILL_DIR/scripts/vision.mjs config remove <name>    # 删除模型
node SKILL_DIR/scripts/vision.mjs config set-key <name> <key>   # 设置密钥
node SKILL_DIR/scripts/vision.mjs config set-url <name> <url>   # 设置 API 地址
node SKILL_DIR/scripts/vision.mjs config test [name]      # 测试连通性

使用方法 — 识别图片

单张

bash
node SKILL_DIR/scripts/vision.mjs ./screenshot.png
node SKILL_DIR/scripts/vision.mjs ./ui.png "这个界面的布局有什么问题？"
node SKILL_DIR/scripts/vision.mjs "https://example.com/img.png" "描述这张图片"

多张

bash
node SKILL_DIR/scripts/vision.mjs img1.png img2.png "对比这两张图的差异"
node SKILL_DIR/scripts/vision.mjs ./screenshots/*.png "分析这些界面截图"
node SKILL_DIR/scripts/vision.mjs ./local.png https://example.com/remote.jpg "描述这两张"

查找图片

如果用户提到图片但没给路径，先搜索：

bash
find . -name "*.png" -o -name "*.jpg" -o -name "*.webp" | head -20
ls -lt *.png *.jpg *.webp 2>/dev/null

获取结果后的工作流

脚本成功后 stdout 输出的纯文本就是识别结果（stderr 是日志不影响）。

读取识别结果：stdout 内容即为图片描述
结合用户问题：把描述和用户需求结合
主模型继续工作：用识别结果作为上下文，主模型完成后续任务

回退机制

config list 中排第一位的 ★ 主模型优先调用。失败后自动依次尝试后续模型。所有模型都失败则非零退出码退出。

环境变量

变量	说明
`VISION_CONFIG_PATH`	自定义配置文件路径
`VISION_DEFAULT_MODEL`	临时覆盖主模型（按 name 匹配）
`VISION_API_KEY`	全局密钥回退

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Vision Support AI skill do?

Why use Vision Support on TypingMind?

Because you install it once and use it with any model. Vision Support is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Vision Support in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/WALKERKILLER/Look-Tongji-Notes/tree/main/vision-support. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Vision Support?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Vision Support?

As many as you like. As long as a model supports skills, you can use Vision Support with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Vision Support AI skill free?

Yes. It is published on GitHub by WALKERKILLER under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Vision Support — 非多模态模型的图片识别桥接

什么时候使用此技能

首次使用 — 一键初始化

添加备用模型

所有配置命令

使用方法 — 识别图片

单张

多张

查找图片

获取结果后的工作流

回退机制

环境变量

Bundled files

Frequently asked questions

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