scientific-agent-skills

Auto-Empirical Research Skills curates more than 23,000 reusable skills across eight social-science disciplines, giving researchers and agents a large catalog of empirical methods and workflows. The repository also includes numeric benchmark tasks and behavioral evaluation scenarios intended to test reproducibility and methodological rigor.

Equip Claude Code, Cursor, Codex, Gemini CLI, and other agents to choose Apify Actors for scraping social, search, maps, commerce, and review platforms. Separate skills help create, debug, and deploy new JavaScript, TypeScript, or Python Actors, wrap existing scripts as Actors, generate output schemas, and integrate runs through the SDK or REST API. The collection supports both one-off data requests and maintainable automation workflows.

This library gives medical and biomedical researchers more than 550 skills spanning evidence discovery, protocol design, clinical statistics, bioinformatics, academic writing, and lab operations. The skills work with several SKILL.md-compatible agents, including Claude Code and Codex, and the project states that each one is evaluated through its medical research skill audit framework before release.

Research Skills packages Claude Code workflows for medical-imaging literature reviews, PhD proposals, stylized paper slides, and editable academic presentations. Its writing workflows require collecting and verifying sources before drafting, auditing citations, and completing submission checks, while scholar-slides needs an additional Python and Node toolchain.