Unified biological database evidence owner. Use for gene annotation, variant clinical significance, cancer mutation evidence, GWAS trait associations, pathway mapping, target-disease evidence, protein structures, protein interaction networks, reference single-cell census queries, and cross-database biological ID mapping. Do not use for full single-cell analysis, bulk RNA-seq differential expression, BAM/VCF processing, protein embedding models, metabolic flux modeling, genomic interval ML, or flow-cytometry file parsing.
1k tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
2583
stars on the repo
on the repository, not the skill itself
Install
one command, takes just this skill from the repository
Pathway mapping, ID conversion, KEGG pathways, Reactome enrichment, disease pathways, and pathway evidence.
Target-disease association evidence, tractability, safety, known drugs, and Open Targets evidence.
Protein structure evidence from AlphaFold DB or RCSB PDB, including UniProt IDs, mmCIF/PDB downloads, pLDDT, PAE, and structure metadata.
Protein-protein interaction evidence, STRING networks, hub proteins, and enrichment evidence.
Reference single-cell data lookup from CELLxGENE Census when the user asks for census metadata or expression data, not full downstream analysis.
Cross-database biological ID mapping and evidence tables across multiple resources.
Do Not Use This Skill For
Single-cell RNA-seq analysis, clustering, UMAP, marker genes, cell annotation, AnnData/h5ad container editing, or scVI/scANVI batch-correction planning. Use scanpy.
Bulk RNA-seq differential expression. Use pydeseq2.
BAM, SAM, CRAM, VCF, pileup, coverage, or region extraction as a primary file-processing task.
deepTools signal-track processing and heatmaps.
Protein language models, embeddings, inverse folding, or protein-design workflows.
Constraint-based metabolic modeling, FBA, or metabolic-engineering simulation.
BED/genomic interval embeddings, genomic-region ML, or gene regulatory network inference.
FCS or flow-cytometry file parsing.
Workflow
Identify the biological entity type: gene, transcript, variant, pathway, target, protein structure, protein interaction, trait association, or reference cell population.
Pick the narrowest source that answers the evidence question.
Preserve source names, query terms, access dates, identifiers, and API caveats in the result.
Return evidence in a table when comparing multiple sources.
State when authentication, license, rate limits, or non-public access restricts a source.
Source Guide
See references/database-evidence-sources.md for source-specific boundaries and query notes.
How to use it
Copy the folder
Take foryourhealth111-pixel/bio-database-evidence from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
Check the name does not clash
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.