What problem does it solve?
It helps you discover and translate insights from arbitrary web pages and visual content into concrete, Claude Code–aligned recommendations, so you can improve skills, agents, and project workflows without manual triage.
Core Features & Use Cases
- URL & Image Intelligence: Analyzes URLs and images (repos, articles, tweets, screenshots, videos, podcasts) and classifies them as Tool/API, Pattern/Technique, Product/Feature, or Infrastructure.
- Targeted Relevance Scoring: Scores recommendations against only the Claude Code setup and the ExampleProject scope, reducing irrelevant or speculative outputs.
- Actionable Recommendation Report: Produces a structured plan with Claude Setup Recommendations and, when relevant, ExampleProject recommendations plus optional memory capture guidance.
- Multi-Extractor Pipeline: Extracts content using Firecrawl (primary) with fallbacks through Exa, Scrapling (stealth where needed), WebFetch, and AV summarization when applicable.
Quick Start
Use the /research command with a URL or an image path like /research https://github.com/user/repo to generate a categorized improvement report for your Claude Code setup.