screenshot-feature-extractor

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.

242 stars

Best use case

screenshot-feature-extractor is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. 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.

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.

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "screenshot-feature-extractor" skill to help with this workflow task. Context: 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.

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/screenshot-feature-extractor/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/notedit/screenshot-feature-extractor/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/screenshot-feature-extractor/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How screenshot-feature-extractor Compares

Feature / Agentscreenshot-feature-extractorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 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](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

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