Data Researcher vs Scientific Literature Researcher

Data Researcher and Scientific Literature Researcher are both Claude Code sub-agents, but they're optimized for different use cases. Data Researcher focuses on Expert data researcher specializing in discovering, collecting, and analyzing diverse data sources. Masters data mining, statistical analysis, and pattern recognition with focus on extracting meaningful insights from complex datasets to support evidence-based decisions. Use when researching data sources or datasets., while Scientific Literature Researcher is better suited for Use when you need to search scientific literature and retrieve structured experimental data from published studies. Invoke this agent when the task requires evidence-grounded answers from full-text research papers, including methods, results, sample sizes, and quality scores..

The best choice depends on your specific needs. Use Data Researcher when you need Expert data researcher specializing in discovering, collecting, and analyzing diverse data sources. Masters data mining, statistical analysis, and pattern recognition with focus on extracting meaningful insights from complex datasets to support evidence-based decisions. Use when researching data sources or datasets.. Choose Scientific Literature Researcher when your work requires Use when you need to search scientific literature and retrieve structured experimental data from published studies. Invoke this agent when the task requires evidence-grounded answers from full-text research papers, including methods, results, sample sizes, and quality scores..

Yes! You can combine multiple sub-agents by including their prompts in your CLAUDE.md file. Many developers use different agents for different parts of their workflow or project.