edsl-research

Claude Code skills for experimental social science and computational text analysis: conjoint design, diagnostics, and data cleaning, survey design, list experiments, cross-national design, topic modeling, LLM text classification, VLM-based OCR pipelines, post-OCR cleanup, paper pre-submission review, hypothesis building, narrative building, pre-registration, and methods reporting. Invoke as /skill-name or let Claude auto-trigger based on context.

Orchestrate manuscript revision by routing feedback to specialized writing skills

PhD-level research capabilities: literature review, multi-source investigation, critical analysis, hypothesis-driven exploration, quantitative/qualitative methods, and lateral thinking

Autonomous research orchestration: agents for hypothesis-driven investigation, experiment running, fresh-eyes review, and batch evaluation.

Oh My Paper research harness: memory system, Codex delegation, and pipeline commands for academic research projects.

Computational-science methodology for Claude Code: research framing, pre-registration, reproducible analysis, anomaly investigation, and red-team review