screenshot-feature-extractor

davila7/claude-code-templates · updated Apr 8, 2026

$npx skills add https://github.com/davila7/claude-code-templates --skill screenshot-feature-extractor
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summary

Extract product features from UI screenshots using a coordinated multi-agent analysis pipeline.

skill.md

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

Discussion

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general reviews

Ratings

4.848 reviews
  • Pratham Ware· Dec 16, 2024

    Registry listing for screenshot-feature-extractor matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Camila Mehta· Dec 12, 2024

    screenshot-feature-extractor reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Xiao Kapoor· Dec 8, 2024

    Useful defaults in screenshot-feature-extractor — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ren Farah· Dec 8, 2024

    screenshot-feature-extractor is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ren Nasser· Nov 27, 2024

    Solid pick for teams standardizing on skills: screenshot-feature-extractor is focused, and the summary matches what you get after install.

  • Min White· Nov 27, 2024

    screenshot-feature-extractor has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Maya Lopez· Nov 27, 2024

    Keeps context tight: screenshot-feature-extractor is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Yash Thakker· Nov 7, 2024

    screenshot-feature-extractor reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Charlotte Abebe· Nov 3, 2024

    Registry listing for screenshot-feature-extractor matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Dhruvi Jain· Oct 26, 2024

    I recommend screenshot-feature-extractor for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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