菜单
Describe images (charts, diagrams, tables, screenshots) using Vision AI. Use as fallback when you cannot read an image file directly. Supports batch processing of folders.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/Wide-Moat/open-computer-use --skill describe-image命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
COSTLY: Spawns a separate sub-agent CLI session. Use ONLY for complex CODE tasks requiring 10+ iterative tool calls (multi-file refactoring with tests, code review with fixes, test-fix cycles). IMPORTANT: Always run the model discovery script first before any sub_agent call. Do NOT use for presentations, research, documentation, or any task completable in fewer than 10 tool calls.
Use this skill when a file has been uploaded but its content is NOT in your context — only its path at /mnt/user-data/uploads/ is listed in an uploaded_files block. This skill is a router: it tells you which tool to use for each file type (pdf, docx, xlsx, csv, json, images, archives, ebooks) so you read the right amount the right way instead of blindly running cat on a binary. Triggers: any mention of /mnt/user-data/uploads/, an uploaded_files section, a file_path tag, or a user asking about an uploaded file you have not yet read. Do NOT use this skill if the file content is already visible in your context inside a documents block — you already have it.
Use this skill when you need to read, inspect, or extract content from PDF files — especially when file content is NOT in your context and you need to read it from disk. Covers content inventory, text extraction, page rasterization for visual inspection, embedded image/attachment/table/form-field extraction, and choosing the right reading strategy for different document types (text-heavy, scanned, slide-decks, forms, data-heavy). Do NOT use this skill for PDF creation, form filling, merging, splitting, watermarking, or encryption — use the pdf skill instead.
基于 SOC 职业分类
正在显示 SKILL.md
| name | describe-image |
| description | Describe images (charts, diagrams, tables, screenshots) using Vision AI. Use as fallback when you cannot read an image file directly. Supports batch processing of folders. |
Analyze images using Vision AI and generate detailed text descriptions in Russian.
# Single image
python /mnt/skills/public/describe-image/scripts/describe.py \
-i /path/to/image.png
# Folder with images
python /mnt/skills/public/describe-image/scripts/describe.py \
-i /path/to/folder
| Parameter | Default | Description |
|---|---|---|
-i, --input | required | Image file or folder path |
-c, --context | "" | (optional) Context for better accuracy (e.g., "Sales dashboard Q4") |
--page | 1 | (optional) Page number for folder processing |
--page-size | 50 | (optional) Images per page (max 100) |
--quiet | false | (optional) Suppress per-image logging in single-file mode |
Single image:
python /mnt/skills/public/describe-image/scripts/describe.py \
-i /home/assistant/document/images/img_001.jpg
With context for better accuracy:
python /mnt/skills/public/describe-image/scripts/describe.py \
-i dashboard.png \
-c "Quarterly sales report showing EMEA region performance"
Folder with images (batch processing):
# Process first 50 images
python /mnt/skills/public/describe-image/scripts/describe.py \
-i /home/assistant/assessment/images/
# Process images 51-100 (page 2)
python /mnt/skills/public/describe-image/scripts/describe.py \
-i /home/assistant/assessment/images/ --page 2
# Process with custom page size
python /mnt/skills/public/describe-image/scripts/describe.py \
-i /home/assistant/assessment/images/ --page-size 100
Single image: Returns structured description to stdout.
Folder: Creates manifest-N.md file in the folder. Use view to read it.
Console output:
Processed 50/150 images
Created: /home/assistant/assessment/images/manifest-1.md
Remaining pages: 2 (use --page 2, --page 3)
Use: view /home/assistant/assessment/images/manifest-1.md
After running the command, use the view tool to read the manifest file.
Manifest format (LLM-friendly XML):
<images folder="/home/assistant/assessment/images" page="1" total_pages="3">
<image path="img_001.jpg">
Horizontal bar chart showing deviations from the average score...
</image>
<image path="img_002.jpg">
Diagram with five rating categories: "Below expectations", "Needs development"...
</image>
</images>
Requires VISION_API_KEY environment variable.