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Describe Image Skill — Development skill for Claude Code

Development community

让无视觉能力的模型(如 DeepSeek v4)也能'看懂'图片 Enable vision‑incapable models (e.g., DeepSeek‑v4) to also "understand" images(claude code and opencode).

How to install Describe Image Skill

This entry records only its repository, not the path inside it, so there is no exact command to give. Open foorgange/describe-image-skill and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Describe Image Skill does

让无视觉能力的模型(如 DeepSeek v4)也能'看懂'图片 Enable vision‑incapable models (e.g., DeepSeek‑v4) to also "understand" images(claude code and opencode).

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README

describe-image

Let non-vision models "see" images: hand the image to a separate vision model, get its description as text, and let your host model answer from that text.

让没有视觉能力的模型也能"看懂"图片:把图片交给一个独立的视觉模型转述成文字,再由你的宿主模型基于这段文字回答。

预览 / Preview

屏幕截图 2026-08-06 143215 屏幕截图 2026-08-06 144028

目前实测支持 claude code、opencode,并内置 Codex、Gemini CLI 的会话记录解析与记忆写入;其他宿主可在 `config.json` 里指定扫描路径与记忆文件。

If your model does not accept images (e.g. DeepSeek, some local models), pasted screenshots only appear to you as `[Image: ...]` / `[Unsupported Image]` placeholders — you never see the pixels. This skill is built for exactly that case: it forwards the image to a vision model (SiliconFlow / OpenAI / Ollama / any OpenAI-compatible endpoint) and returns the recognition result as plain text that you can reason over.

如果你的模型不接收图片(例如 DeepSeek、部分本地模型),用户在对话里粘贴截图时,你只能看到 `[Image: ...]`、`[Unsupported Image]` 这类占位符,看不到像素。这个技能就是为这种情况准备的:它把图片交给一个视觉模型(SiliconFlow / OpenAI / Ollama / 任意 OpenAI 兼容端点),把识别结果以纯文本返回,你再用这段文本回答用户。

Use cases: screenshot content recognition, transcribing text inside images, UI description, interpreting charts / documents / photos, and any "what is in this image" question.

适用场景:截图内容识别、图片里的文字转录、UI 界面描述、图表/文档/照片解读,以及一切"图片里有什么"的问题。

Why / 为什么需要它

  • Your host model has no vision capability (DeepSeek, certain local models, etc.).
  • 你的宿主模型没有视觉能力(DeepSeek、某些本地模型等)。
  • The user pasted an image, but all you get is a placeholder; the actual pixels only live in the session transcript.
  • 用户粘贴了图片,但你能拿到的只是占位符文本,图片本体只在底层会话记录里。
  • You do not want to switch models over a single image — you just want to call a vision model on demand.
  • 你不想因为一张图换掉整个模型,只想在需要的时候临时调用一个视觉模型。

This skill does not require you to change models or to have a hos