tooluniverse
Router skill for ToolUniverse tasks. First checks if specialized tooluniverse skills (34+ skills covering disease/drug/target research, clinical decision support, genomics, epigenomics, chemical safety, systems biology, and more) can solve the problem, then falls back to general strategies for using 1400+ scientific tools. Covers tool discovery, multi-hop queries, comprehensive research workflows, disambiguation, evidence grading, and report generation. Use when users need to research any scientific topic, find biological data, or explore drug/target/disease relationships.
Best use case
tooluniverse is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Router skill for ToolUniverse tasks. First checks if specialized tooluniverse skills (34+ skills covering disease/drug/target research, clinical decision support, genomics, epigenomics, chemical safety, systems biology, and more) can solve the problem, then falls back to general strategies for using 1400+ scientific tools. Covers tool discovery, multi-hop queries, comprehensive research workflows, disambiguation, evidence grading, and report generation. Use when users need to research any scientific topic, find biological data, or explore drug/target/disease relationships.
Teams using tooluniverse should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/tooluniverse/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How tooluniverse Compares
| Feature / Agent | tooluniverse | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Router skill for ToolUniverse tasks. First checks if specialized tooluniverse skills (34+ skills covering disease/drug/target research, clinical decision support, genomics, epigenomics, chemical safety, systems biology, and more) can solve the problem, then falls back to general strategies for using 1400+ scientific tools. Covers tool discovery, multi-hop queries, comprehensive research workflows, disambiguation, evidence grading, and report generation. Use when users need to research any scientific topic, find biological data, or explore drug/target/disease relationships.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# ToolUniverse Router
Route user questions to specialized skills. If no skill matches, use general strategies from [references/general-strategies.md](references/general-strategies.md).
## Routing Workflow
1. **Extract keywords** from user's question
2. **Scan routing table** below for keyword matches
3. **Take action**:
- **1 clear match** → invoke that skill NOW using the Skill tool
- **Multiple matches** → ask user which they prefer (AskUserQuestion)
- **No match** → use general strategies (load [references/general-strategies.md](references/general-strategies.md))
4. **If ambiguous** (e.g., "Tell me about aspirin") → ask user to clarify intent
**CRITICAL**: Actually INVOKE skills — don't describe them or show the routing table to the user.
**Language**: If the user writes in a non-English language, extract keywords for routing but respond in their language. All tool calls use English terms.
---
## Routing Table
### 1. Data Retrieval
| Keywords | Action |
|----------|--------|
| "get", "retrieve", "**chemical compound**", "PubChem", "ChEMBL", "drug molecule", "SMILES", "InChI" | `Skill(skill="tooluniverse-chemical-compound-retrieval")` |
| "get", "retrieve", "**expression data**", "gene expression", "omics dataset", "ArrayExpress", "RNA-seq", "microarray" | `Skill(skill="tooluniverse-expression-data-retrieval")` |
| "get", "retrieve", "**protein structure**", "PDB", "AlphaFold", "crystal structure", "3D model" | `Skill(skill="tooluniverse-protein-structure-retrieval")` |
| "get", "retrieve", "**sequence**", "DNA sequence", "RNA sequence", "protein sequence", "FASTA" | `Skill(skill="tooluniverse-sequence-retrieval")` |
### 2. Research & Profiling
| Keywords | Action |
|----------|--------|
| "research", "profile", "**disease**", "syndrome", "disorder", "comprehensive report on [disease]" | `Skill(skill="tooluniverse-disease-research")` |
| "research", "profile", "**drug**", "medication", "therapeutic agent", "tell me about [drug]" | `Skill(skill="tooluniverse-drug-research")` |
| "**literature review**", "papers about", "publications on", "research articles", "recent studies" | `Skill(skill="tooluniverse-literature-deep-research")` |
| "research", "profile", "**target**", "protein target", "gene target", "target validation" | `Skill(skill="tooluniverse-target-research")` |
### 3. Clinical Decision Support
| Keywords | Action |
|----------|--------|
| "**drug safety**", "adverse events", "side effects", "pharmacovigilance", "pharmacogenomics", "FAERS", "black box warning" | `Skill(skill="tooluniverse-pharmacovigilance")` |
| "**adverse event signal**", "safety signal detection", "disproportionality", "PRR", "ROR" | `Skill(skill="tooluniverse-adverse-event-detection")` |
| "**drug safety profile**", "drug safety assessment", "comprehensive safety" | `Skill(skill="tooluniverse-drug-safety-profiling")` |
| "**chemical safety**", "ADMET", "chemical toxicity", "environmental toxicity", "toxic effects" | `Skill(skill="tooluniverse-chemical-safety")` |
| "**cancer treatment**", "precision oncology", "tumor mutation", "targeted therapy", "EGFR", "KRAS", "BRAF" | `Skill(skill="tooluniverse-precision-oncology")` |
| "**cancer driver**", "driver gene", "driver mutation", "IntOGen", "cBioPortal" | `Skill(skill="tooluniverse-cancer-driver-analysis")` |
| "**somatic mutation interpretation**", "cancer variant", "oncogenic variant", "tumor variant" | `Skill(skill="tooluniverse-cancer-variant-interpretation")` |
| "**immunotherapy response**", "checkpoint inhibitor response", "TMB", "MSI", "PD-L1", "ICI response" | `Skill(skill="tooluniverse-immunotherapy-response-prediction")` |
| "**rare disease diagnosis**", "differential diagnosis", "phenotype matching", "HPO", "patient with [symptoms]" | `Skill(skill="tooluniverse-rare-disease-diagnosis")` |
| "**variant interpretation**", "VUS", "pathogenicity", "clinical significance", "is [variant] pathogenic" | `Skill(skill="tooluniverse-variant-interpretation")` |
| "**clinical guidelines**", "practice guidelines", "treatment guidelines", "dosing recommendations", "standard of care" | `Skill(skill="tooluniverse-clinical-guidelines")` |
| "**patient stratification**", "precision medicine", "biomarker stratification", "treatment selection" | `Skill(skill="tooluniverse-precision-medicine-stratification")` |
### 4. Discovery & Design
| Keywords | Action |
|----------|--------|
| "**find binders**", "virtual screening", "hit identification", "compounds for [target]", "**IC50**", "**bioactivity**", "**binding affinity**", "**potency**", "**selectivity**", "**SAR**", "**structure-activity**", "**lead optimization**", "**hit-to-lead**" | `Skill(skill="tooluniverse-binder-discovery")` |
| "**drug repurposing**", "new indication", "existing drugs for [disease]", "repurpose [drug]" | `Skill(skill="tooluniverse-drug-repurposing")` |
| "**drug target validation**", "target druggability", "validate target", "target assessment" | `Skill(skill="tooluniverse-drug-target-validation")` |
| "**network pharmacology**", "polypharmacology", "compound-target network", "multi-target" | `Skill(skill="tooluniverse-network-pharmacology")` |
| "**design protein**", "protein binder", "de novo protein", "RFdiffusion", "ProteinMPNN" | `Skill(skill="tooluniverse-protein-therapeutic-design")` |
| "**antibody engineering**", "antibody design", "humanization", "affinity maturation" | `Skill(skill="tooluniverse-antibody-engineering")` |
### 5. Genomics & Variant Analysis
| Keywords | Action |
|----------|--------|
| "**GWAS study**", "genome-wide association", "GWAS catalog", "GWAS for [trait]" | `Skill(skill="tooluniverse-gwas-study-explorer")` |
| "**GWAS trait to gene**", "trait-associated genes", "causal genes", "genes for [trait]" | `Skill(skill="tooluniverse-gwas-trait-to-gene")` |
| "**fine-mapping**", "credible sets", "causal variants", "statistical refinement" | `Skill(skill="tooluniverse-gwas-finemapping")` |
| "**SNP interpretation**", "rsID", "rs[number]", "variant annotation" | `Skill(skill="tooluniverse-gwas-snp-interpretation")` |
| "**polygenic risk**", "PRS", "genetic risk", "risk score for [disease]" | `Skill(skill="tooluniverse-polygenic-risk-score")` |
| "**structural variant**", "SV", "CNV", "deletion", "duplication", "chromosomal rearrangement" | `Skill(skill="tooluniverse-structural-variant-analysis")` |
| "**VCF**", "variant calling", "mutation analysis", "variant annotation pipeline" | `Skill(skill="tooluniverse-variant-analysis")` |
### 6. Systems & Network Analysis
| Keywords | Action |
|----------|--------|
| "**protein interactions**", "PPI", "interactome", "binding partners", "protein complexes" | `Skill(skill="tooluniverse-protein-interactions")` |
| "**systems biology**", "pathway analysis", "network analysis", "gene set enrichment" | `Skill(skill="tooluniverse-systems-biology")` |
| "**metabolomics**", "metabolite identification", "metabolic pathway" | `Skill(skill="tooluniverse-metabolomics")` |
| "**epigenomics**", "gene regulation", "transcription factor", "TF binding", "enhancers", "chromatin", "ChIP-seq" | `Skill(skill="tooluniverse-epigenomics")` |
| "**gene enrichment**", "pathway enrichment", "GO enrichment", "GSEA", "overrepresentation", "gene list analysis" | `Skill(skill="tooluniverse-gene-enrichment")` |
| "**multi-omics**", "omics integration", "transcriptomics + proteomics", "integrated analysis" | `Skill(skill="tooluniverse-multi-omics-integration")` |
| "**multi-omic disease**", "disease characterization", "genomic + transcriptomic + proteomic" | `Skill(skill="tooluniverse-multiomic-disease-characterization")` |
### 7. Screening & Functional Genomics
| Keywords | Action |
|----------|--------|
| "**CRISPR screen**", "genetic screen", "screen hits", "essential genes" | `Skill(skill="tooluniverse-crispr-screen-analysis")` |
| "**drug-drug interaction**", "DDI", "drug combination", "polypharmacy" | `Skill(skill="tooluniverse-drug-drug-interaction")` |
| "**differential expression**", "DESeq2", "RNA-seq analysis", "DE genes", "fold change" | `Skill(skill="tooluniverse-rnaseq-deseq2")` |
| "**proteomics**", "mass spectrometry", "protein quantification", "TMT", "iTRAQ", "label-free" | `Skill(skill="tooluniverse-proteomics-analysis")` |
| "**immune repertoire**", "TCR", "BCR", "T-cell receptor", "B-cell receptor", "clonotype" | `Skill(skill="tooluniverse-immune-repertoire-analysis")` |
| "**spatial transcriptomics**", "Visium", "MERFISH", "seqFISH", "Slide-seq", "spatial gene expression" | `Skill(skill="tooluniverse-spatial-transcriptomics")` |
| "**spatial omics**", "spatial proteomics", "spatial multi-omics" | `Skill(skill="tooluniverse-spatial-omics-analysis")` |
| "**microscopy**", "image analysis", "cell counting", "colony morphometry", "fluorescence quantification" | `Skill(skill="tooluniverse-image-analysis")` |
| "**phylogenetics**", "phylogenetic tree", "sequence alignment", "evolutionary analysis" | `Skill(skill="tooluniverse-phylogenetics")` |
| "**statistical modeling**", "regression analysis", "logistic regression", "survival analysis", "Cox" | `Skill(skill="tooluniverse-statistical-modeling")` |
| "**metabolomics analysis**", "LC-MS analysis", "metabolite quantification", "metabolic flux" | `Skill(skill="tooluniverse-metabolomics-analysis")` |
### 8. Clinical Trials & Study Design
| Keywords | Action |
|----------|--------|
| "**clinical trial design**", "trial protocol", "study design", "endpoint selection" | `Skill(skill="tooluniverse-clinical-trial-design")` |
| "**clinical trial matching**", "patient-to-trial", "trial eligibility", "find trials for patient" | `Skill(skill="tooluniverse-clinical-trial-matching")` |
| "**GWAS drug discovery**", "genetic target validation", "GWAS to drug" | `Skill(skill="tooluniverse-gwas-drug-discovery")` |
### 9. Outbreak Response
| Keywords | Action |
|----------|--------|
| "**pathogen**", "infectious disease", "outbreak", "emerging infection", "novel virus" | `Skill(skill="tooluniverse-infectious-disease")` |
### 10. Infrastructure & Setup
| Keywords | Action |
|----------|--------|
| "**setup**", "install", "configure", "API keys", "upgrade", "**how to use**", "**get started**", "**CLI**", "**tu command**", "MCP vs CLI vs SDK", "**what is ToolUniverse**", "**what can this do**", "**what databases**", "**demo**", "**tutorial**", "**quickstart**", "**I'm new**" | `Skill(skill="setup-tooluniverse")` |
| "**SDK**", "Python SDK", "build AI scientist", "programmatic access", "**import tooluniverse**", "**coding API**", "**tu build**", "**typed wrappers**" | `Skill(skill="tooluniverse-sdk")` |
| "**install skills**", "missing skills", "skill not found", "add skills" | `Skill(skill="tooluniverse-install-skills")` |
---
## Tie-Breaking Rules
1. **Domain Over Setup**: When "how do I", "help me", "explain", or "what is" co-occurs with a **domain entity** (drug, gene, protein, disease, variant, pathway name), route to the **domain skill**, NOT setup.
- "how do I find interactions for TP53?" → protein-interactions
- "help me research metformin" → drug-research
- "what is EGFR?" → target-research
- "I'm new, can you research diabetes?" → disease-research
- Only route to setup when NO domain entity present ("how do I use this?")
2. **Specificity Rule**: More specific beats general.
- "cancer treatment" → precision-oncology (not disease-research)
3. **Data Type Rule**: "get/retrieve/fetch" → retrieval skills.
- "get compound structure" → chemical-compound-retrieval (not drug-research)
4. **Still ambiguous**: Ask user with AskUserQuestion.
---
## When to Use General Strategies
Only when no specialized skill matches:
- Meta-questions about ToolUniverse itself (no domain entity)
- Custom workflows combining multiple skills
- User explicitly says "don't use specialized skills"
**WARNING**: "how do I find interactions for TP53?" is NOT a meta-question — route to protein-interactions.
When using general strategies, load [references/general-strategies.md](references/general-strategies.md) and **execute** them (run actual queries, don't just describe).
---
## Routing Examples
**Clear match**: "comprehensive research report on breast cancer" → `Skill(skill="tooluniverse-disease-research", args="breast cancer")`
**Ambiguous**: "Tell me about aspirin" → AskUserQuestion: drug profile, safety, chemical data, or repurposing?
**No match**: "How can I find all tools related to proteomics?" → General strategies: run find_tools queries
**Domain + setup keyword**: "help me understand BRCA1 variants" → `Skill(skill="tooluniverse-variant-interpretation", args="BRCA1")`Related Skills
tooluniverse-variant-interpretation
Systematic clinical variant interpretation from raw variant calls to ACMG-classified recommendations with structural impact analysis. Aggregates evidence from ClinVar, gnomAD, CIViC, UniProt, and PDB across ACMG criteria. Produces pathogenicity scores (0-100), clinical recommendations, and treatment implications. Use when interpreting genetic variants, classifying variants of uncertain significance (VUS), performing ACMG variant classification, or translating variant calls to clinical actionability.
tooluniverse-variant-analysis
Production-ready VCF processing, variant annotation, mutation analysis, and structural variant (SV/CNV) interpretation for bioinformatics questions. Parses VCF files (streaming, large files), classifies mutation types (missense, nonsense, synonymous, frameshift, splice, intronic, intergenic) and structural variants (deletions, duplications, inversions, translocations), applies VAF/depth/quality/consequence filters, annotates with ClinVar/dbSNP/gnomAD/CADD via ToolUniverse, interprets SV/CNV clinical significance using ClinGen dosage sensitivity scores, computes variant statistics, and generates reports. Solves questions like "What fraction of variants with VAF < 0.3 are missense?", "How many non-reference variants remain after filtering intronic/intergenic?", "What is the pathogenicity of this deletion affecting BRCA1?", or "Which dosage-sensitive genes overlap this CNV?". Use when processing VCF files, annotating variants, filtering by VAF/depth/consequence, classifying mutations, interpreting structural variants, assessing CNV pathogenicity, comparing cohorts, or answering variant analysis questions.
tooluniverse-target-research
Gather comprehensive biological target intelligence from 9 parallel research paths covering protein info, structure, interactions, pathways, expression, variants, drug interactions, and literature. Features collision-aware searches, evidence grading (T1-T4), explicit Open Targets coverage, and mandatory completeness auditing. Use when users ask about drug targets, proteins, genes, or need target validation, druggability assessment, or comprehensive target profiling.
tooluniverse-systems-biology
Comprehensive systems biology and pathway analysis using multiple pathway databases (Reactome, KEGG, WikiPathways, Pathway Commons, BioModels). Performs pathway enrichment, protein-pathway mapping, keyword searches, and systems-level analysis. Use when analyzing gene sets, exploring biological pathways, or investigating systems-level biology.
tooluniverse-structural-variant-analysis
Comprehensive structural variant (SV) analysis skill for clinical genomics. Classifies SVs (deletions, duplications, inversions, translocations), assesses pathogenicity using ACMG-adapted criteria, evaluates gene disruption and dosage sensitivity, and provides clinical interpretation with evidence grading. Use when analyzing CNVs, large deletions/duplications, chromosomal rearrangements, or any structural variants requiring clinical interpretation.
tooluniverse-statistical-modeling
Perform statistical modeling and regression analysis on biomedical datasets. Supports linear regression, logistic regression (binary/ordinal/multinomial), mixed-effects models, Cox proportional hazards survival analysis, Kaplan-Meier estimation, and comprehensive model diagnostics. Extracts odds ratios, hazard ratios, confidence intervals, p-values, and effect sizes. Designed to solve BixBench statistical reasoning questions involving clinical/experimental data. Use when asked to fit regression models, compute odds ratios, perform survival analysis, run statistical tests, or interpret model coefficients from provided data.
tooluniverse-spatial-transcriptomics
Analyze spatial transcriptomics data to map gene expression in tissue architecture. Supports 10x Visium, MERFISH, seqFISH, Slide-seq, and imaging-based platforms. Performs spatial clustering, domain identification, cell-cell proximity analysis, spatial gene expression patterns, tissue architecture mapping, and integration with single-cell data. Use when analyzing spatial transcriptomics datasets, studying tissue organization, identifying spatial expression patterns, mapping cell-cell interactions in tissue context, characterizing tumor microenvironment spatial structure, or integrating spatial and single-cell RNA-seq data for comprehensive tissue analysis.
tooluniverse-spatial-omics-analysis
Computational analysis framework for spatial multi-omics data integration. Given spatially variable genes (SVGs), spatial domain annotations, tissue type, and disease context from spatial transcriptomics/proteomics experiments (10x Visium, MERFISH, DBiTplus, SLIDE-seq, etc.), performs comprehensive biological interpretation including pathway enrichment, cell-cell interaction inference, druggable target identification, immune microenvironment characterization, and multi-modal integration. Produces a detailed markdown report with Spatial Omics Integration Score (0-100), domain-by-domain characterization, and validation recommendations. Uses 70+ ToolUniverse tools across 9 analysis phases. Use when users ask about spatial transcriptomics analysis, spatial omics interpretation, tissue heterogeneity, spatial gene expression patterns, tumor microenvironment mapping, tissue zonation, or cell-cell communication from spatial data.
tooluniverse-single-cell
Production-ready single-cell and expression matrix analysis using scanpy, anndata, and scipy. Performs scRNA-seq QC, normalization, PCA, UMAP, Leiden/Louvain clustering, differential expression (Wilcoxon, t-test, DESeq2), cell type annotation, per-cell-type statistical analysis, gene-expression correlation, batch correction (Harmony), trajectory inference, and cell-cell communication analysis. NEW: Analyzes ligand-receptor interactions between cell types using OmniPath (CellPhoneDB, CellChatDB), scores communication strength, identifies signaling cascades, and handles multi-subunit receptor complexes. Integrates with ToolUniverse gene annotation tools (HPA, Ensembl, MyGene, UniProt) and enrichment tools (gseapy, PANTHER, STRING). Supports h5ad, 10X, CSV/TSV count matrices, and pre-annotated datasets. Use when analyzing single-cell RNA-seq data, studying cell-cell interactions, performing cell type differential expression, computing gene-expression correlations by cell type, analyzing tumor-immune communication, or answering questions about scRNA-seq datasets.
tooluniverse-sequence-retrieval
Retrieves biological sequences (DNA, RNA, protein) from NCBI and ENA with gene disambiguation, accession type handling, and comprehensive sequence profiles. Creates detailed reports with sequence metadata, cross-database references, and download options. Use when users need nucleotide sequences, protein sequences, genome data, or mention GenBank, RefSeq, EMBL accessions.
tooluniverse-sdk
Build AI scientist systems using ToolUniverse Python SDK for scientific research. Use when users need to access 1000++ scientific tools through Python code, create scientific workflows, perform drug discovery, protein analysis, genomics analysis, literature research, or any computational biology task. Triggers include requests to use scientific tools programmatically, build research pipelines, analyze biological data, search literature, predict drug properties, or create AI-powered scientific workflows.
tooluniverse-rnaseq-deseq2
Production-ready RNA-seq differential expression analysis using PyDESeq2. Performs DESeq2 normalization, dispersion estimation, Wald testing, LFC shrinkage, and result filtering. Handles multi-factor designs, multiple contrasts, batch effects, and integrates with gene enrichment (gseapy) and ToolUniverse annotation tools (UniProt, Ensembl, OpenTargets). Supports CSV/TSV/H5AD input formats and any organism. Use when analyzing RNA-seq count matrices, identifying DEGs, performing differential expression with statistical rigor, or answering questions about gene expression changes.