Screenshot Feature Extractor
Software development skill, available on Zeplik
Screenshot Feature Extractor is a ready-to-run software development skill on Zeplik. Analyze product screenshots to extract feature lists and generate PRD/dev task checklists for competitive analysis. Ask in plain language and Zeplik applies the skill's method for you inside the conversation, on whichever AI model you prefer. It returns a structured checklist you can keep and reuse: Checklist artifact -- actionable checked items with state, grouped by phase (see artifact-templates/checklist.md).
The Screenshot Feature Extractor skill loads automatically when your request matches it, or you can invoke it directly by typing /screenshot-feature-extractor in any chat. It works with attachments, connectors, and any model that supports the task, so you get the same expert method every time without setting anything up.
What the Screenshot Feature Extractor skill can do
- Extract UI components and layout patterns from product screenshots
- Identify user interactions, navigation flows, and state transitions
- Map business functions, data entities, and domain logic from visuals
- Generate a synthesized, reviewed PRD checklist as markdown tasks
Try these prompts on Zeplik
Pick a prompt to open it in the Zeplik app. If you are not signed in yet, your prompt is waiting for you the moment you do.
How the Screenshot Feature Extractor skill works
Screenshot Analyzer (Multi-Agent)
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
How to use the Screenshot Feature Extractor skill
Sign in to Zeplik
Create a free Zeplik account or sign in. New accounts start with free credits, so you can try the Screenshot Feature Extractor skill right away.
Describe your software development task
Ask in plain language, or type /screenshot-feature-extractor to invoke the skill directly. Zeplik recognizes the Screenshot Feature Extractor skill and applies its method.
Review and refine the result
Zeplik returns a structured checklist you can edit, download, and reuse. Ask follow-ups to refine it.
Source and credit
- Author
- davila7 (D7 Class-A standalone)
- License
- MIT
Adapted from the open-source davila7/claude-code-templates project and tuned to run natively on Zeplik. View source on GitHub.
Frequently asked questions
- What is the Screenshot Feature Extractor skill?
- Screenshot Feature Extractor is a ready-to-run software development skill on Zeplik. Analyze product screenshots to extract feature lists and generate PRD/dev task checklists for competitive analysis. Ask in plain language and Zeplik applies the skill's method for you inside the conversation, on whichever AI model you prefer. It returns a structured checklist you can keep and reuse: Checklist artifact -- actionable checked items with state, grouped by phase (see artifact-templates/checklist.md).
- How do I use Screenshot Feature Extractor on Zeplik?
- Sign in to Zeplik and ask in plain language, or type /screenshot-feature-extractor in any chat to invoke it directly. The skill applies its method and returns a result you can refine in the same conversation.
- Which AI model does the Screenshot Feature Extractor skill use?
- Any model you choose. Zeplik works across every model in one chat, so the Screenshot Feature Extractor skill runs on your preferred model for the task.
- Where does the Screenshot Feature Extractor skill come from?
- The Screenshot Feature Extractor skill is adapted from the open-source davila7/claude-code-templates project (MIT) and tuned to run natively on Zeplik. The original source is linked on this page.
- How much does the Screenshot Feature Extractor skill cost?
- Using the skill is free to start. You only spend Zeplik credits when the assistant runs, and new accounts begin with free credits.
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