/screenshot-analyze
SkillDev toolsPerform comprehensive analysis of screenshots using Sonnet sub-agents for detailed visual inspection.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the /screenshot-analyze skill
About this capability
A comprehensive knowledge management system for Solutions Architects using AI
What this skill tells your AI
The instructions your AI receives, as published by davidroliverba/architectkb in .claude/skills/screenshot-analyze/SKILL.md and read by ahel’s review.
Perform comprehensive analysis of screenshots using Sonnet sub-agents for detailed visual inspection.
Usage
/screenshot-analyze <image-path>
/screenshot-analyze +Attachments/error-screenshot.png
/screenshot-analyze +Attachments/ui-mockup.png --context "login flow"
Instructions
This skill uses Sonnet model sub-agents for thorough image analysis with vision capabilities.
Phase 1: Image Loading
- Verify the image exists at the specified path
- Check file type is supported (PNG, JPG, JPEG, GIF, WebP)
- Note any context provided by user
Phase 2: Comprehensive Analysis (Sonnet Sub-Agents)
Launch these sub-agents using model: "sonnet":
Agent 1: Content Extraction (Sonnet)
Task: Extract all visible content from the image
- Read the image file using the Read tool
- Extract all visible text (OCR)
- Identify UI elements, buttons, labels
- Note any error messages or notifications
- Capture data values, IDs, or codes visible
Return: Complete text extraction with location context
Agent 2: Visual Structure Analysis (Sonnet)
Task: Analyse the visual structure and layout
- Read the image file
- Identify the type of content (UI, diagram, document, error, etc.)
- Map the visual hierarchy and layout
- Note colour schemes, branding elements
- Identify interactive elements
- Assess visual quality and clarity
Return: Structural analysis with element inventory
Agent 3: Context & Purpose Analysis (Sonnet)
Task: Understand the purpose and context
- Read the image file
- Determine what application/system is shown
- Identify the workflow or process stage
- Note any problems or issues visible
- Assess what action might be needed
- Connect to known YourOrg systems if recognisable
Return: Contextual interpretation with system identification
Phase 3: Compile Report
# Screenshot Analysis
**Image**: {{filename}}
**Analysed**: {{DATE}}
**Type**: {{UI/Error/Diagram/Document/Other}}
## Summary
{{2-3 sentence overview of what the image shows}}
## Extracted Content
### Text Found
{{all readable text, organised by location}}
### UI Elements
| Element | Type | Label/Text | State |
|---------|------|------------|-------|
{{element inventory}}
### Data Values
{{any IDs, codes, numbers, or data visible}}
## Visual Analysis
### Layout Structure
{{description of visual hierarchy}}
### Application/System
- **Identified as**: {{system name if known}}
- **Screen/Page**: {{specific view or page}}
- **Context**: {{workflow stage}}
## Observations
### Key Findings
{{important observations}}
### Issues Detected
{{any errors, warnings, or problems visible}}
### Recommendations
{{suggested actions based on analysis}}
## Related Notes
{{suggest links to related vault notes if system is recognised}}
Notes
- Sonnet provides superior visual analysis capabilities
- Works with screenshots, UI mockups, error messages, dashboards
- Can recognise YourOrg systems like SAP, MROPlatform, Confluence, etc.
Signals
- GitHub stars
- 52
- Forks
- 12
- Last commit
- Mar 2026
Advanced
- Catalog kind
- skill
- Gateway key
screenshot-analyze- Source
- github.com/davidroliverba/architectkb