Getting Started with Research Superpowers
Getting Started with Research Superpowers
Research Superpowers gives Claude Code systematic workflows for literature searching and review.
Focus: Finding, screening, and extracting data from published papers. NOT for analyzing experimental data or designing experiments.
What You Can Do
Use these skills for systematic literature reviews:
- Search literature - PubMed and Semantic Scholar integration
- Build screening rubrics - Define and test relevance criteria collaboratively
- Screen papers - Two-stage screening (abstract → deep dive) with scoring
- Extract data - Find specific methods, results, measurements from papers
- Traverse citations - Smart backward/forward citation following
- Large-scale screening - Parallel subagent processing for 50+ papers
- Track findings - Organized research sessions with summaries, PDFs, and deduplication
Available Skills
More from kthorn/research-superpower
subagent-driven literature review
Use parallel subagents for large-scale paper screening and deep dive analysis
2checking chembl for structured sar data
Check if medicinal chemistry papers are in ChEMBL database to access curated bioactivity data
2searching scientific literature
PubMed search with keyword optimization, result parsing, and metadata extraction
2finding open access papers
Use Unpaywall API to find free full-text versions of paywalled papers
2cleaning up research sessions
Safely remove intermediate files from completed research sessions while preserving important data
2answering research questions
Main orchestration workflow for systematic literature research - search, evaluate, traverse, synthesize
2