Screenshot Analyzer (Multi-Agent)
SkillProductivityLets your agent look at product screenshots and pull out feature lists plus task checklists.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Screenshot Analyzer (Multi-Agent) skill
About this skill
Analyze product screenshots to extract feature lists and generate development task checklists. Use when: (1) Analyzing competitor product screenshots for feature extraction, (2) Generating PRD/task lists from UI designs, (3) Batch analyzing multiple app screens, (4) Conducting competitive analysis f
What this skill tells your AI
The instructions your AI receives, as published by davila7/claude-code-templates in cli-tool/components/skills/development/screenshot-feature-extractor/SKILL.md and read by ahel’s review.
Extract product features from UI screenshots using a coordinated multi-agent analysis pipeline.
Core principle: Describe WHAT to build (features/interactions), NOT HOW (no tech stack).
Multi-Agent Architecture
This skill orchestrates 5 specialized agents for comprehensive analysis:
┌─────────────────┐
│ Coordinator │
│ (this skill) │
└────────┬────────┘
│
┌───────────────────┼───────────────────┐
│ │ │
▼ ▼ ▼
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ UI Analyzer │ │ Interaction │ │ Business │
│ (parallel) │ │ Analyzer │ │ Analyzer │
│ │ │ (parallel) │ │ (parallel) │
└────────┬────────┘ └────────┬────────┘ └────────┬────────┘
│ │ │
└───────────────────┼───────────────────┘
▼
┌─────────────────┐
│ Synthesizer │
│ (sequential) │
└────────┬────────┘
│
▼
┌─────────────────┐
│ Reviewer │
│ (sequential) │
└─────────────────┘
Process
Phase 1: Screenshot Collection
Gather all screenshots to analyze:
- Read the screenshot file(s) provided by the user
- For each screenshot, note the file path and any context provided
- If multiple screenshots, determine if they are from the same product
Phase 2: Parallel Analysis
Launch THREE Task agents IN PARALLEL for each screenshot:
Agent 1: screenshot-ui-analyzer
Analyze this screenshot for UI components, layout structure, and design patterns.
Screenshot: [file path]
Return your analysis as JSON.
Agent 2: screenshot-interaction-analyzer
Analyze this screenshot for user interactions, navigation flows, and state transitions.
Screenshot: [file path]
Return your analysis as JSON.
Agent 3: screenshot-business-analyzer
Analyze this screenshot for business functions, data entities, and domain logic.
Screenshot: [file path]
Return your analysis as JSON.
IMPORTANT: Use the Task tool with THREE parallel calls in a single message to maximize efficiency.
Phase 3: Synthesis
After all parallel analyses complete, launch the synthesizer agent:
Agent 4: screenshot-synthesizer
Synthesize these analysis results into a unified development task list.
UI Analysis:
[paste UI analyzer result]
Interaction Analysis:
[paste Interaction analyzer result]
Business Analysis:
[paste Business analyzer result]
Product Name: [product name]
Output file: docs/plans/YYYY-MM-DD-<product>-features.md
Phase 4: Review
Launch the reviewer agent to validate the output:
Agent 5: screenshot-reviewer
Review this task list for completeness and quality.
Original screenshot(s): [file paths]
Task list: [synthesized output]
If issues found, provide corrections.
Phase 5: Output
- Write final task list to
docs/plans/YYYY-MM-DD-<product>-features.md - Use format from references/output-format.md
- Present summary to user
Key Guidelines
- Use
- [ ]checkbox format for all tasks - Break features into small, executable subtasks
- Focus on user interactions, not implementation details
- For multiple screenshots: deduplicate features across all screens
- For competitive analysis: highlight unique features and gaps
Benefits of Multi-Agent Approach
- Thoroughness - Three specialized perspectives catch more details
- Speed - Parallel analysis reduces total time
- Quality - Synthesis + Review ensures coherent, complete output
- Specialization - Each agent focuses on its domain expertise
Signals
- GitHub stars
- 32k
- Forks
- 4k
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
screenshot-feature-extractor- Source
- github.com/davila7/claude-code-templates