返回 Skill 列表
extension
分类: 内容与媒体无需 API Key

screenshot-feature-extractor

分析产品截图以提取功能列表并生成开发任务检查表。使用场景:(1) 从竞争对手产品截图中提取功能,(2) 从UI设计生成产品需求文档/任务列表,(3) 批量分析多个应用程序界面,(4) 通过视觉参考资料进行竞争分析。

person作者: jakexiaohubgithub

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