claude-vision-setup
Interactive setup wizard for claude-vision - configures Docker images and platform settings
DeepseekModel
Curated skill
Quality Good · 48
v1.0.0
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https://deepseekmodel.com/api/download.php?id=ellyseum-claude-vision-skills-claude-vision-setup-skill-md&format=skill
Download .skill
Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name claude-vision-setup description Interactive setup wizard for claude-vision - configures Docker images and platform settings Instructions When invoked with /claude-vision-setup : Step 1: Read Environment Detection The environment has already been detected by a hook. Check the system-reminder for "Environment detection results:" which contains key=value pairs: OS_TYPE - wsl, macos, or linux DOCKER_OK - true/false GPU_OK - true/false GPU_NAME - GPU model name (if detected) NVIDIA_TOOLKIT - true/false CONFIG_EXISTS - true/false IMAGE_VARIANT - lite/full (if config exists) SCREENSHOT_DIR - path (if config exists) Present a summary to the user: OS: [detected] Docker: Available/Not available GPU: [name] with NVIDIA Container Toolkit / Not detected If CONFIG_EXISTS=true, also show current settings. Step 2: Existing Config Flow If CONFIG_EXISTS=true, use AskUserQuestion: Question: "What would you like to do?" Options: Keep current settings - Verify everything works Reconfigure - Start fresh with new settings Switch image variant - Change between lite/full Update screenshot directory - Change where screenshots are found If they choose "Keep current settings", skip to Step 6 (Verify Setup). Step 3: Image Choice (new config or reconfigure) Use AskUserQuestion: Question: "Which Docker image do you want?" Options: Lite (Recommended) ~500 MB, includes ffmpeg + yt-dlp For YouTube videos, screen recordings Full (with Whisper) ~4 GB, includes ffmpeg + yt-dlp + whisper For local videos needing speech transcription GPU speeds up transcription (detected: [GPU_OK]) Step 4: Screenshot Directory Based on OS_TYPE, suggest default: wsl: /mnt/c/Users/<username>/Pictures/Screenshots macos: ~/Pictures/Screenshots linux: ~/Pictures/Screenshots Use AskUserQuestion with suggested default + "Custom path" option. Step 5: Save Configuration mkdir -p " $HOME /.claude/claude-vision" cat > " $HOME /.claude/claude-vision/config.json" << EOF { "mode": "docker", "os": "$OS_TYPE", "image_variant": "$IMAGE_VARIANT", "screenshot_dir": "$SCREENSHOT_DIR", "created": "$(date -Iseconds)", "version": "1.0" } EOF Step 6: Verify Setup cv-run --status If cv-run fails, check if Docker image exists and offer to pull/build. Step 7: Show Summary === claude-vision Setup Complete === Configuration: OS: $OS_TYPE Image: $IMAGE_VARIANT Screenshot dir: $SCREENSHOT_DIR GPU: $GPU_STATUS Available commands: /clipboard - Read from clipboard (text or image) /screenshot - Analyze latest screenshot /video - Analyze videos (YouTube or local) Notes Config: ~/.claude/claude-vision/config.json Video cache: ~/.claude/claude-vision/video-cache/ Use cv-run --status to check container status Use cv-run --stop to stop container when not in use
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The downloaded .skill package contains the following fields.
| Field | Description |
|---|---|
| format | Format tag (skill/v1) |
| skill_id | Unique skill ID |
| name | Skill name |
| version | Version |
| description | Description |
| category | Categories (array) |
| trigger_words | Trigger words |
| tags | Tags |
| source | Source |
| source_url | Source URL (this page) |
| exported_at | Exported at (set per download) |
| system_prompt | System prompt body |
| model_config | Model config: provider / model / temperature / max_tokens / top_p |
| examples | Examples |
| install_guide | Import guide for Coze / Dify / Claude / custom frameworks |
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