This skill runs a multi-source academic literature search that parallelizes queries across scholar lookup, consensus, and a personal bib. It deduplicates results, resolves DOIs and journals, and produces a ranked JSON output with citations and takeaways—ideal for literature reviews and citation discovery.
Use this skill when asked to find academic papers, perform literature searches, gather citations, or summarize what the research says on a topic (e.g., "find papers on X", "literature review of Y"). It's designed for queries that benefit from cross-source aggregation and DOI resolution.
scripts/research.py (parallelizes sources, supports streaming and batch modes)domain-knowledge.local.md file for trusted-journal checkspython3 scripts/research.py "<query>" [--n N] [--min-citations N]Likely compatible with agents that can run Python scripts and call external CLIs (Claude Code, generic LLM agents with script-run capabilities).
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Development Worktree
Create an isolated git worktree for feature work, auto-run project setup, and verify a clean test baseline before development.
WRDS Query & ETL Enforcement
Standards and enforcement guidance for querying WRDS data and running SAS/ETL on the WRDS grid—includes query validation, SGE submission patterns, and performan
