Editorial and source context
What this Skill does
Literature Review is a source-indexed Agent Skill for data, research & analysis work. Based on the SKILL.md description, it focuses on conduct comprehensive, systematic literature reviews using multiple academic databases (pubmed, arxiv,…. Use the linked GitHub file to confirm scope and prerequisites before enabling it.
What the author says
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).
Compatibility and requirements
- Use an agent runtime that supports Agent Skills and the linked SKILL.md format.
- Confirm the source repository's tools, SDKs, and platform prerequisites for academic research work.
How to install or import it
- Open the linked GitHub SKILL.md and review its scope and setup instructions.
- Install or import the skill using the agent runtime's documented workflow.
- Run a small, non-sensitive test and verify the output before broader use.
Permissions and risks
- Review every command, file path, network request, dependency, and credential scope before enabling it.
- GitHub stars indicate popularity, not safety or correctness; validate the source and test with non-sensitive data.
Example workflows
- Ask an AI agent to apply Literature Review to academic research work described in the source record.
- Have the agent state assumptions, required tools, and expected output before using this data, research & analysis skill.
- Compare the result with the linked GitHub SKILL.md and verify it against your project requirements.
Related Agent Skills
More source records in Data, Research & Analysis.