ClawBio
Official@clawbio
🦖 The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Built on OpenClaw.
Agent Skills by ClawBio
Showing 95 vetted skills indexed across 1 GitHub repositories.
ClawBiode-summary
Summarizes pre-computed differential expression results into ranked gene lists and biological themes.
ClawBiobioconductor-bridge
Recommends Bioconductor packages and workflows using live metadata and BiocManager.
ClawBionutrigx
Generates personalised nutrition reports from consumer genetic data files.
ClawBiovariant-annotation
Annotate VCF variants with Ensembl VEP, ClinVar significance, and gnomAD frequencies.
ClawBiodeepspot-m
Predicts per-gene expression values from 224x224 H&E histology tiles using the DeepSpot-M foundation model.
ClawBiofastreer
Generate phylogenetic trees and distance matrices from VCF or FASTA genomic data.
ClawBioarticle-data-fetcher
Discovers and downloads genomics data files deposited in public repositories for a given article DOI or PMID.
ClawBiohla-typing
Performs HLA allele typing from WGS/WES VCF data and generates structured reports.
ClawBiobigquery-public
Executes read-only SQL against BigQuery public datasets with cost safeguards and reproducibility outputs.
ClawBiogi-annotation
Predicts gene and transcript structures from DNA sequences via the Genomic Intelligence annotation API.
ClawBioclinical-variant-reporter
Classify germline VCF variants using the ACMG/AMP 28-criteria framework and generate clinical interpretation reports.
ClawBioaffinity-proteomics
Analyze Olink NPX and SomaLogic SomaScan proteomics data with platform-aware QC and differential abundance testing.
ClawBiobioqc-mcp
Runs FastQC and MultiQC pipelines on FASTQ files and generates QC visualizations.
ClawBioeqtl-catalogue-region-fetch
Fetch cis-eQTL summary statistics for a genomic region from EBI eQTL Catalogue via tabix.
ClawBioancestry-risk-profiler
Infers genetic super-population ancestry from 23andMe files and computes ancestry-stratified disease odds ratios.
ClawBioskill-builder
Scaffold new ClawBio skills from JSON or YAML specs into SKILL.md, Python, and test files.
ClawBioprotocols-io
Search and retrieve scientific protocols from protocols.io via its REST API.
ClawBioclinical-trial-finder
Find clinical trials by gene, variant, or condition from ClinicalTrials.gov with FHIR R4 output.
ClawBiogi-enhancer
Predict enhancer activity in FASTA sequences via the Genomic Intelligence DeepSTARR API.
ClawBiogi-splice
Detect splice donor and acceptor sites in FASTA sequences via the Genomic Intelligence API.
ClawBiogwas-catalog-region-fetch
Fetch regional GWAS summary statistics from the NHGRI-EBI GWAS Catalog via tabix-on-FTP.
ClawBioflow-bio
Authenticate, browse, upload samples, and launch Nextflow pipelines on Flow.bio via its REST API.
ClawBiomarker-dominance-mapper
Assigns tissue-region labels to spot-level marker count CSVs by dominant marker expression.
ClawBiold-1000g-region-compute
Compute pairwise r² between a lead variant and window variants using the 1000 Genomes Phase 3 GRCh38 panel.
Frequently Asked Questions About ClawBio
FAQPage SchemaWhat specific bioinformatics tasks can be performed using these capabilities?▼
These capabilities enable VCF annotation, polygenic risk score calculation, protein structure prediction, single-cell RNA sequencing analysis, and metagenomic taxonomy profiling. Users can also synthesize PubMed literature and generate reproducible analysis bundles using containerized environments.
Which research personas benefit from these bioinformatics modules?▼
Bioinformaticians, computational biologists, and clinical geneticists utilize these modules to process raw genotype files, perform variant evidence aggregation, and compute diversity metrics. The library is designed for researchers requiring local-first, reproducible analysis of genomic and sequencing data.
What are the prerequisites for running these bioinformatics modules?▼
Execution requires raw genotype files from providers like 23andMe or AncestryDNA, or standard bioinformatics formats such as VCF, FASTQ, and AnnData .h5ad files. Users must have a local environment configured for containerized execution and dependency management via Conda.