Lov Describe Image logo

Lov Describe Image

Organization
lovstudio
lov-describe-image

给纯文本模型"看图"：调用智谱 GLM-4V-Flash（免费）把图片转成文字描述。当用户要求描述/识别/读取图片，或任务里出现图片文件（截图/图表/照片）而当前模型无法直接看图时，优先调用本 skill。需要图片磁盘路径，可附带具体问题。

Overview

Publisherlovstudio
Repositoryskills
Skill namelov-describe-image
Stars
67
Forks
17
Bundled files
2
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by lovstudio on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/lovstudio/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/describe-image .claude/skills/lov-describe-image
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lov Describe Image 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 Lov Describe Image 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 Lov Describe Image 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.

看图说话 · Image Narrator

给纯文本模型"看图"：把图片发送给视觉模型（智谱 GLM-4V-Flash，免费），返回文字描述，让本身不具备视觉能力的模型（如 deepseek-v4-flash）能间接"看到"图片内容。

Triggers

Activate when

  • 用户要求"看看/描述/识别/读懂/读取/识别这张图"，或询问图片里写了什么。
  • 任务上下文里出现图片文件（截图、图表、照片、海报、含文字的图），而当前模型无法直接看图。
  • 需要从含文字的图片（界面截图、文档扫描、图表）中提取具体信息，例如检查异常、转录文字、核对内容。

Do not activate when

  • 用户只是要求生成、编辑、压缩或转换图片，而不是理解图片内容。
  • 当前模型本身具备视觉能力、能直接看到图片，无需转述。
  • 用户明确要求走 dsh 的原生多模态管线、项目内置读图工具，或指定了其他视觉后端。

Usage

bash
python3 ~/.claude/skills/lov-describe-image/scripts/describe_image.py "<图片路径>" "[具体问题]"
  • <图片路径> 必填：绝对路径，或相对当前工作区的路径（建议绝对路径，避免歧义）。
  • [具体问题] 可选：想从图中知道的具体信息；省略则让视觉模型完整描述（物体/场景/布局/颜色/风格/所有文字）。

Behavior

  • 读取文件 → 超 5MB 自动用 sips 降采样到 2048px → base64 编码 → 调 GLM-4V-Flash（max_tokens 上限 1024）。
  • 返回的文本就是视觉模型的回答，直接向用户转述，不要添油加醋，也不要声称"看到了原图"。
  • 失败时（未设 key / 网络 / 尺寸超限）会打印明确错误，按提示处理即可。
  • 小模型对细节核对（逐字转写）置信度有限；重要结论建议用更强的视觉模型（如 Gemini）交叉验证。

Prerequisites

通用反馈闭环

用户在 Skill 驱动任务中提出修改意见时，继续当前产物前必须执行：

  1. 先判断意见是 task-specific（仅本次）还是 reusable（可跨任务复用）。
  2. task-specific 只修改当前任务，不改 Skill。
  3. reusable 先确定作用域：领域规则先更新对应 canonical Skill；适用于所有 Skill 的规则先更新共享规范。
  4. 完成规则更新、版本、lint 与分发核验后，再把修改应用到当前任务。
  5. reusable 修改会使此前的“确认”“继续”“发吧”失效；完成当前产物修改和回读后必须停下，等待用户下一步指示，不自动进入发布、提交或其他外部写入。

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 Lov Describe Image AI skill do?

给纯文本模型"看图"：调用智谱 GLM-4V-Flash（免费）把图片转成文字描述。当用户要求描述/识别/读取图片，或任务里出现图片文件（截图/图表/照片）而当前模型无法直接看图时，优先调用本 skill。需要图片磁盘路径，可附带具体问题。

Why use Lov Describe Image on TypingMind?

Because you install it once and use it with any model. Lov Describe Image 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 Lov Describe Image in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lovstudio/skills/tree/main/skills/describe-image. 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 Lov Describe Image?

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 Lov Describe Image?

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

Is the Lov Describe Image AI skill free?

Yes. It is published on GitHub by lovstudio 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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