screenshot-feature-extractor_skill
- Python
20.6k
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill davila7/claude-code-templates --skill screenshot-feature-extractor- SKILL.md5.0 KB
Overview
This skill analyzes product screenshots to extract feature lists and generate executable development task checklists. It uses a coordinated multi-agent pipeline to produce concise, user-focused feature descriptions and - [ ] style task breakdowns suitable for PRDs and sprint planning. It emphasizes WHAT to build (features and interactions), not implementation details.
How this skill works
The skill runs three specialized analyzers in parallel (UI, interaction, and business) to capture visual design, user flows, and domain intent from each screenshot. A synthesizer merges those JSON analyses into a unified feature list and detailed checklist, then a reviewer validates completeness and quality. Final output is written as a dated feature plan and presented as a summarized task list.
When to use it
- Extract features from competitor screenshots for competitive analysis
- Generate PRD-style task lists from UI mockups or design screens
- Batch-analyze many app screens to produce a consolidated feature backlog
- Identify gaps and unique features across similar products for product strategy
- Prepare development checklists from final visual designs before sprint planning
Best practices
- Provide clear context and product name for each screenshot to improve synthesis accuracy
- Upload high-resolution screenshots and include multiple states if available (e.g., modal open, item selected)
- Group related screens and indicate which belong to the same product or flow to enable deduplication
- Expect concise, user-facing feature descriptions; iterate with clarifying screenshots or notes if needed
- Use the produced - [ ] task checklist directly in planning tools after review and assignment
Example use cases
- Competitive feature audit: extract unique UI elements and business logic from competitor screenshots
- PRD generation: convert UI designs into a prioritized task checklist for engineering
- Batch processing: analyze an app’s screens to produce a single consolidated feature plan
- Gap analysis: highlight missing or poorly supported flows compared to competitors
- Sprint prep: break extracted features into small, testable subtasks for immediate planning
FAQ
It writes a dated feature plan file and returns a summarized task list using - [ ] checkbox format so items can be moved directly into trackers.
How does parallel analysis speed things up?
Three specialized analyzers run in parallel (UI, interaction, business) to capture different perspectives simultaneously; a synthesizer then merges results for higher coverage and faster turnaround.
