Agent skill · writing content · aiskillstore
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.
Why this skill is useful
Adds a multi-agent analysis pipeline that automates feature extraction from screenshots, generating detailed task lists that the AI cannot produce without this structured approach.
What it needs
About 2k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
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: 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 Agent 2: screenshot-interaction-analyzer Agent 3: screenshot-business-analyzer 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 Phase 4: Review Launch the reviewer agent to validate the output: Agent 5: screenshot-reviewer 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
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/screenshot-feature-extractor