Auto-Empirical-Research-Skills

Scientific Agent Skills packages 148 reusable skills and access paths to more than 100 scientific databases across biology, chemistry, medicine, drug discovery, materials science, and scientific computing. It follows the open Agent Skills standard and can be installed in Cursor, Claude Code, Codex, and other compatible agents for multi-step research workflows.

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.