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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.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
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.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Suite of tools for creating elaborate, multi-component AI artifacts viewer HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
| 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.