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screenshot-feature-extractor

Converts visual product designs into actionable development checklists.

Install

mkdir -p .claude/skills/screenshot-feature-extractor && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/4438" && unzip -o skill.zip -d .claude/skills/screenshot-feature-extractor && rm skill.zip

Installs to .claude/skills/screenshot-feature-extractor

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

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 from visual references.
322 chars✓ has a “when” triggerlonger than Claude Code's old 250-char listing cap (fine on current versions)
Intermediate

Key capabilities

  • Performs parallel feature identification from screenshots
  • Extracts interaction patterns and UX flows
  • Synthesizes visual data into structured task lists
  • Executes multi-agent reviews to minimize hallucination
  • Categorizes features from competitor UI examples

How it works

Uses a coordinator to split the image analysis into parallel streams, then synthesizes the output through sequential Reviewer agents to verify completeness.

Inputs & outputs

You give it
Product screenshot files
You get back
Feature checklist and development task list

When to use screenshot-feature-extractor

  • Analyzing competitor product features
  • Generating development checklists from UI mockups
  • Batch processing multiple application screens for requirements
  • Conducting competitive analysis based on visuals

About this skill

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:

  1. Read the screenshot file(s) provided by the user
  2. For each screenshot, note the file path and any context provided
  3. 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

  1. Write final task list to docs/plans/YYYY-MM-DD-<product>-features.md
  2. Use format from references/output-format.md
  3. 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

  1. Thoroughness - Three specialized perspectives catch more details
  2. Speed - Parallel analysis reduces total time
  3. Quality - Synthesis + Review ensures coherent, complete output
  4. Specialization - Each agent focuses on its domain expertise

When not to use it

  • With low-resolution or blurry screenshots that lack clear UI elements
  • For designs that are purely creative/abstract without standard interactions
  • When the user needs actual code output rather than task lists

Prerequisites

screenshotsMulti-agent framework access

Limitations

  • Requires clear visual UI hierarchies to be effective
  • Multi-agent coordination can be non-deterministic
  • Cannot infer backend requirements from frontend visuals

How it compares

It keeps the output tech-agnostic and strictly feature-focused, whereas typical tools might guess component libraries or tech stacks prematurely.

Compared to similar skills

screenshot-feature-extractor side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
screenshot-feature-extractor (this skill)17moNo flagsIntermediate
spec-workflow108moNo flagsIntermediate
executing-plans63moNo flagsIntermediate
feature-design-assistant67moNo flagsIntermediate

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