The "empirical-research" topic on GitHub groups 2 open-source projects in the DeepSeek Harness (DSH) ecosystem, led by Auto-Empirical-Research-Skills with 3.8k GitHub stars. Auto-Empirical-Research-Skills — A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. Every project here is indexed by DSH Universe with live GitHub data — stars, activity and install status — so you can compare and install directly.
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | Curated library of 23,000+ AI Agent skills covering empirical research across 8 social science disciplines. CoPaper.AI completes a reproducible, standards-compliant empirical paper in 20 minutes, and supports user-uploaded Skills.-- Maintained by CoPaper.AI from Stanford REAP.
Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, Management World, Economic Research Journal & 200+ more — your fast track to getting published. | Claude Code/Codex journal skill packs covering mainstream journals, from topic selection and identification strategy to table formatting and reviewer responses—the full workflow helps you publish papers quickly.