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Comprehensive academic research assistant with paper search, analysis, and citation management capabilities
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Based on SOC occupation classification
| name | academic-research |
| description | Comprehensive academic research assistant with paper search, analysis, and citation management capabilities |
This built-in skill provides comprehensive academic research capabilities for AI agents to search, analyze, and manage academic papers, citations, and research data.
tool: academic-research
action: search_papers
query: "large language models for code generation"
databases: ["arxiv", "semantic_scholar"]
date_range:
start: "2023-01-01"
end: "2026-03-13"
max_results: 20
sort_by: "relevance"
tool: academic-research
action: analyze_paper
paper_id: "arxiv:2305.12345"
analysis_type: "comprehensive"
include:
- "summary"
- "methodology"
- "results"
- "limitations"
- "citations"
tool: academic-research
action: generate_citations
papers:
- "arxiv:2305.12345"
- "doi:10.1038/s41586-023-12345-6"
format: "apa"
include_doi: true
include_urls: true
The academic-research skill can be configured with the following parameters:
default_databases: Default academic databases to search (default: arxiv, semantic_scholar)citation_format: Default citation format (default: apa)max_papers_per_search: Maximum papers to return per search (default: 50)api_keys: API keys for premium academic database accesscache_duration: Duration to cache search results (default: 7 days)export_formats: Supported export formats (bibtex, ris, csv, json)This skill is essential for any agent that needs to conduct academic research, write scholarly papers, or stay current with scientific literature. It provides comprehensive research support while maintaining academic integrity and copyright compliance.