Skills

Build and visualize a citation network from a source/target CSV to identify key papers, communities, and emerging hotspots; use when you have citation pairs and need fast literature review or trend analysis.

Verify, normalize, and enrich a single citation or paper identifier. Use when the user pastes a DOI, URL, arXiv ID, PubMed ID, citation string, or paper title and wants it checked.

Compile LaTeX paper to PDF, fix errors, and verify output. Use when user says \"编译论文\", \"compile paper\", \"build PDF\", \"生成PDF\", or wants to compile LaTeX into a submission-ready PDF.

Automatically scan document reference lists and check against Retraction.

Use only SciAtlas search-papers to take a novice user from zero setup to an evidence-grounded evaluation of a research idea's novelty, feasibility, soundness, and differentiation. Trigger when the user asks whether an idea is worth pursuing or needs literature-backed critique.

Use only SciAtlas search-papers to take a novice user from zero setup to literature-grounded research idea seeds. Trigger when the user wants new research directions, hypotheses, cross-topic combinations, project ideas, or brainstorming grounded in retrieved papers.

Use only SciAtlas search-papers to take a novice user from zero setup to prior-art grounding for a research idea. Trigger when the user gives an idea and asks for similar work, differentiation evidence, related work, motivation support, or literature-grounded refinement.

Use only SciAtlas search-papers to take a novice user from zero setup to an evidence-grounded literature review, related-work summary, survey outline, or reading list. Trigger when the user asks for a literature review, related work section, paper map, or topic overview.

Use only SciAtlas search-papers to take a novice user from zero setup to a small evidence-backed paper search result. Trigger when the user wants a quick paper check, first-pass literature evidence, a retrieval smoke test, or help deciding which deeper SciAtlas agent skill to use next.

Use only SciAtlas search-papers to take a novice user from zero setup to an evidence-grounded researcher profile from retrieved papers. Trigger when the user asks for a researcher's background, representative works, topic trajectory, or author-centered literature overview.

Use only SciAtlas search-papers to take a novice user from zero setup to a timeline-oriented research trend report. Trigger when the user asks for topic history, field evolution, recent trends, representative papers over time, or emerging directions.

Generates publication-ready scientific figures in Python/matplotlib with consistent house style (Helvetica/Arial-like fonts, high-contrast palettes, minimal spines, frameless legends). Use when creating bar, trend, scatter, heatmap, or multi-panel figures for papers, slides, or reports that must match repository aesthetics and print/vector export.

Build and maintain a cross-platform local Zotero semantic index using metadata embeddings and PDF full-text chunk embeddings. Use when the user asks to vectorize a Zotero library, create or refresh metadata_vectors.json or fulltext_vectors.json, check for new Zotero items missing from the vector store, incrementally update a Zotero semantic/RAG index, verify vector store counts and sizes, or reproduce this workflow on Windows, macOS, or Linux.

Solve Fraud_and_General_Macro_Analysis questions in the dabstep payment processing dataset. Use this skill for macro-level transaction analysis questions: fraud rates, fraud comparisons by segment, percentage calculations, correlation analysis, most-frequent category lookups, and population-level statistics across merchants, countries, card schemes, and payment methods. Trigger whenever questions ask about fraud rates, fraudulent disputes, transaction counts by category, most/highest/lowest statistics, percentage of transactions, or correlation between payment attributes.

Use when you need to connect to the SciGraph SCP server for ADR-Graph (drug–adverse reaction knowledge graph dataset for link prediction/side-effect discovery, used with EdgePrediction) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for AEQG-Physics (AEQG-MCQ-Distractors-Physics high-school physics concept-map knowledge graph for MCQ generation and distractors) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for BEACON (Bridging Chemical Structure and Conceptual Knowledge; CPI prediction) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for BioActivity/TarIKGC (semantics-enhanced KG for target identification in small-molecule drug discovery) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for Biomedical-Drug (DREAMwalk multi-layer heterogeneous biomedical knowledge graph for drug repurposing) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for CISREG (genomic regulation knowledge graph about enhancers, TADs, genes, proteins, phenotypes) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for ClinicalKG/CKG (Clinical Knowledge Graph database dump for building Neo4j; proteomics + clinical decision support) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for the DDKG biomedical knowledge graph (drug–drug interaction prediction) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for DTINet (Drug-Target Interaction Network knowledge graph for predicting novel drug–target interactions from heterogeneous biomedical networks) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for E-Coli (antibiotic resistance knowledge graph; KIDS framework) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for ElementKG 2.0 / InstructProteinKG and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including configuration (streamableHttp + SCP-HUB-API-KEY) and Python 3.10+ client usage examples.

Use when you need to connect to the SciGraph SCP server for GraPhysics (physics equation-centered knowledge graph of laws/constants with bridge relations between equations) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for Healx (rare disease drug repositioning biomedical knowledge graph by Healx Ltd.) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for IDP-KG (Intrinsically Disordered Protein Knowledge Graph) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for iKraph (large-scale biomedical knowledge graph from PubMed + external databases like Hetionet) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for InstructProteinKG (UniProt/Swiss-Prot derived protein knowledge graph for sequence-text alignment and instruction learning) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for KANO-ChEBI / ElementKG-CHEBI (knowledge graph integrating element properties and functional group hierarchies from Periodic Table/Wikipedia/ChEBI to support KANO molecular representation learning and functional prompting) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for KCL (knowledge graph of microscopic chemical associations among common elements; supports knowledge-guided augmentation/message passing for molecular graphs) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for KG-FM (framework-material knowledge graph dataset; see npj Computational Materials 2025 paper) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for KG-MTL (knowledge graph enhanced multi-task learning framework for molecular interaction prediction: DTI/CPI) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for KGNN (Knowledge Graph Neural Network; drug-drug interaction prediction dataset/framework) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for KnowDDI (knowledge subgraph learning for accurate + interpretable drug-drug interaction prediction; supports zero-shot DDI) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for MarineExpert (marine expert management knowledge graph integrating experts/publications/institutions/collaborations/fields from multi-source marine info) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for Material (materials-science knowledge graph built from ~150k papers via an LLM-based NLP pipeline; contains materials, formulas, properties, synthesis conditions) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for MatKG (autonomously generated materials-science knowledge graph extracted from >5M papers; entities include materials/properties/applications/synthesis) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for MatMechOnto (MaterioMiner dataset linking a materials mechanics ontology with fine-grained literature entity annotations; supports NER and CPMP relation extraction) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.