Skills
Curated Skills for Researchers
One best pick per category. No decision fatigue — just install and go.
Literature Search
Find papers across PubMed, arXiv, bioRxiv, and more
openalex-database
Search 240M+ scholarly works across all fields. Author/institution analysis, citation tracking, open-access discovery. Completely free, no API key needed. The best all-around starting point.
pubmed-database
Best for biomedical research. Advanced Boolean/MeSH queries, batch processing, filter by RCT/meta-analysis/systematic review. The gold standard for life sciences literature.
arxiv-database
Best for CS/ML/physics/math preprints. Search by keywords, authors, IDs, date ranges, and 8 category groups. No key needed.
aminer-data-search
Best for exploring scholar networks. 28 APIs for scholar/paper/institution/journal/patent queries. Natural language Q&A like "latest advances in Transformers".
Systematic Review & Deep Research
PRISMA reviews, meta-analysis, and autonomous research pipelines
deep-research
The most comprehensive single skill for literature review. 13 agents, 7 modes: full research, quick brief, paper review, PRISMA systematic review with meta-analysis, Socratic dialogue, and fact-check. Unmatched depth.
lit-synthesizer
Best for finding research gaps. PubMed MeSH + bioRxiv/medRxiv search with citation graph construction and gap analysis. Identifies understudied areas. No extra key needed.
literature-review
Solid all-rounder for systematic reviews. PRISMA-style searches, cross-database synthesis, citation verification. Outputs in APA/Nature/Vancouver format.
Data Analysis
RNA-seq, scRNA-seq, statistical modeling, and visualization
medical-research-toolkit
14+ biomedical databases unified in one skill: ChEMBL, PubMed, ClinicalTrials.gov, OpenTargets, OpenFDA, OMIM, Reactome, KEGG, UniProt. Drug repurposing, target discovery, and more.
AIPOCH Evidence Insights
200+ medical research skills covering the full workflow. R/Python bioinformatics code generation, statistical modeling, ML pipelines, data cleaning, and visualization.
autoresearch
End-to-end autonomous AI research pipeline: literature survey → experiment → paper. Two-loop architecture for overnight runs. Best for ML/AI research experiments.
Academic Writing
Paper drafting, LaTeX, and format conversionacademic-pipeline
10-stage academic writing pipeline: research → draft → peer review → revise → finalize. Multi-perspective review with 0-100 rubrics. Outputs APA 7.0, IEEE, or Chicago format.
latex-paper-conversion
Convert academic LaTeX papers between publisher formats: Springer → MDPI, IEEE → Nature, etc. Automates template injection and compilation debugging.
Citation & Reference
BibTeX, DOI lookup, and anti-hallucination verificationcitation-management
Multi-source citation tool: Google Scholar + PubMed + CrossRef + arXiv. DOI/PMID/arXiv ID to BibTeX. Validates citations to prevent AI-fabricated references.
Ideation & Novelty Check
Generate research ideas and verify novelty against literature
ARIS /idea-discovery
Full autonomous pipeline: literature scan → idea creation → novelty check → peer review → iterative refinement. From a topic to a validated, pilot-tested research plan.
ARIS /novelty-check
Verify if your research idea is truly novel. Extracts 3-5 core claims, searches each independently, then runs adversarial cross-model review to probe blind spots.