Agent skill

Bioinformatics

by Tommy-yw in Tommy-yw/RunbookHermes

Gateway to 400+ bioinformatics skills from bioSkills and ClawBio.

MITAuto-check: notesResearch & Science

Install Bioinformatics

skills CLI
$ npx skills add Tommy-yw/RunbookHermes --skill bioinformatics -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Tommy-yw/RunbookHermes bioinformatics --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Tommy-yw/RunbookHermes.git skills-src && mkdir -p .claude/skills && cp -r skills-src/optional-skills/research/bioinformatics .claude/skills/bioinformatics && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
bioinformatics
GitHub stars
546
Used in
3 other repos
Token cost
~3.4k tokens
SKILL.md length
947 words
Files
1
Skills in repo
38
Repo updated
First seen
Licence
MIT

At a glance

Gateway to 400+ bioinformatics skills from bioSkills and ClawBio.

  • Works in 4 steps: Identify the domain and skill name from… → Clone the relevant repo (shallow clone… → Read the specific skill → …
  • Tasks that involve Bioinformatics
  • SKILL.md covers Sources, How to fetch and use a skill, Skill Index by Domain and Environment Setup, plus 1 more section
  • Calls git, pip and apt; reaches github.com

What it does

Bioinformatics is an agent skill from Tommy-yw/RunbookHermes. Gateway to 400+ bioinformatics skills from bioSkills and ClawBio. Covers genomics, transcriptomics, single-cell, variant calling, pharmacogenomics, metagenomics, structural biology, and more. Fetches domain-specific reference material on demand.

Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Bioinformatics. The repository describes itself as: Hermes-native AIOps agent for evidence-driven incident response, approval-gated remediation, and runbook learning. The licence is MIT.

When your agent uses it

  • Tasks that involve Bioinformatics

Example prompts

  • “/bioinformatics”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Identify the domain and skill name from the index below.
  2. Clone the relevant repo (shallow clone to save time)
  3. Read the specific skill
  4. Follow the fetched skill as reference material. These are NOT Hermes-format skills — treat them as expert domain guides. They contain…

What it can do on your machine

Read from SKILL.md and the folder at commit 7fd2b9a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • pip
    • apt
    • brew
    • conda

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Bioinformatics loads about 3.4k tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 947 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~3.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteRuns commands with sudoSKILL.md:219
    sudo apt install samtools bcftools ncbi-blast+ minimap2 bedtools

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Tommy-yw/RunbookHermes at commit 7fd2b9a, republished under its MIT licence (© Tommy-yw). 947 words, ~3,438 tokens.

Download SKILL.mdSave it as .claude/skills/bioinformatics/SKILL.md (or your agent's skills folder).
name
bioinformatics
description
Gateway to 400+ bioinformatics skills from bioSkills and ClawBio. Covers genomics, transcriptomics, single-cell, variant calling, pharmacogenomics, metagenomics, structural biology, and more. Fetches domain-specific reference material on demand.
version
1.0.0
platforms
linux, macos

Bioinformatics Skills Gateway

Use when asked about bioinformatics, genomics, sequencing, variant calling, gene expression, single-cell analysis, protein structure, pharmacogenomics, metagenomics, phylogenetics, or any computational biology task.

This skill is a gateway to two open-source bioinformatics skill libraries. Instead of bundling hundreds of domain-specific skills, it indexes them and fetches what you need on demand.

Sources

◆ bioSkills — 385 reference skills (code patterns, parameter guides, decision trees) Repo: https://github.com/GPTomics/bioSkills Format: SKILL.md per topic with code examples. Python/R/CLI.

◆ ClawBio — 33 runnable pipeline skills (executable scripts, reproducibility bundles) Repo: https://github.com/ClawBio/ClawBio Format: Python scripts with demos. Each analysis exports report.md + commands.sh + environment.yml.

How to fetch and use a skill

  1. Identify the domain and skill name from the index below.
  2. Clone the relevant repo (shallow clone to save time):
    bash
    # bioSkills (reference material)
    git clone --depth 1 https://github.com/GPTomics/bioSkills.git /tmp/bioSkills
    
    # ClawBio (runnable pipelines)
    git clone --depth 1 https://github.com/ClawBio/ClawBio.git /tmp/ClawBio
  3. Read the specific skill:
    bash
    # bioSkills — each skill is at: <category>/<skill-name>/SKILL.md
    cat /tmp/bioSkills/variant-calling/gatk-variant-calling/SKILL.md
    
    # ClawBio — each skill is at: skills/<skill-name>/
    cat /tmp/ClawBio/skills/pharmgx-reporter/README.md
  4. Follow the fetched skill as reference material. These are NOT Hermes-format skills — treat them as expert domain guides. They contain correct parameters, proper tool flags, and validated pipelines.

Skill Index by Domain

Sequence Fundamentals

bioSkills: sequence-io/ — read-sequences, write-sequences, format-conversion, batch-processing, compressed-files, fastq-quality, filter-sequences, paired-end-fastq, sequence-statistics sequence-manipulation/ — seq-objects, reverse-complement, transcription-translation, motif-search, codon-usage, sequence-properties, sequence-slicing ClawBio: seq-wrangler — Sequence QC, alignment, and BAM processing (wraps FastQC, BWA, SAMtools)

Read QC & Alignment

bioSkills: read-qc/ — quality-reports, fastp-workflow, adapter-trimming, quality-filtering, umi-processing, contamination-screening, rnaseq-qc read-alignment/ — bwa-alignment, star-alignment, hisat2-alignment, bowtie2-alignment alignment-files/ — sam-bam-basics, alignment-sorting, alignment-filtering, bam-statistics, duplicate-handling, pileup-generation

Variant Calling & Annotation

bioSkills: variant-calling/ — gatk-variant-calling, deepvariant, variant-calling (bcftools), joint-calling, structural-variant-calling, filtering-best-practices, variant-annotation, variant-normalization, vcf-basics, vcf-manipulation, vcf-statistics, consensus-sequences, clinical-interpretation ClawBio: vcf-annotator — VEP + ClinVar + gnomAD annotation with ancestry-aware context variant-annotation — Variant annotation pipeline

Differential Expression (Bulk RNA-seq)

bioSkills: differential-expression/ — deseq2-basics, edger-basics, batch-correction, de-results, de-visualization, timeseries-de rna-quantification/ — alignment-free-quant (Salmon/kallisto), featurecounts-counting, tximport-workflow, count-matrix-qc expression-matrix/ — counts-ingest, gene-id-mapping, metadata-joins, sparse-handling ClawBio: rnaseq-de — Full DE pipeline with QC, normalization, and visualization diff-visualizer — Rich visualization and reporting for DE results

Single-Cell RNA-seq

bioSkills: single-cell/ — preprocessing, clustering, batch-integration, cell-annotation, cell-communication, doublet-detection, markers-annotation, trajectory-inference, multimodal-integration, perturb-seq, scatac-analysis, lineage-tracing, metabolite-communication, data-io ClawBio: scrna-orchestrator — Full Scanpy pipeline (QC, clustering, markers, annotation) scrna-embedding — scVI-based latent embedding and batch integration

Spatial Transcriptomics

bioSkills: spatial-transcriptomics/ — spatial-data-io, spatial-preprocessing, spatial-domains, spatial-deconvolution, spatial-communication, spatial-neighbors, spatial-statistics, spatial-visualization, spatial-multiomics, spatial-proteomics, image-analysis

Epigenomics

bioSkills: chip-seq/ — peak-calling, differential-binding, motif-analysis, peak-annotation, chipseq-qc, chipseq-visualization, super-enhancers atac-seq/ — atac-peak-calling, atac-qc, differential-accessibility, footprinting, motif-deviation, nucleosome-positioning methylation-analysis/ — bismark-alignment, methylation-calling, dmr-detection, methylkit-analysis hi-c-analysis/ — hic-data-io, tad-detection, loop-calling, compartment-analysis, contact-pairs, matrix-operations, hic-visualization, hic-differential ClawBio: methylation-clock — Epigenetic age estimation

Pharmacogenomics & Clinical

bioSkills: clinical-databases/ — clinvar-lookup, gnomad-frequencies, dbsnp-queries, pharmacogenomics, polygenic-risk, hla-typing, variant-prioritization, somatic-signatures, tumor-mutational-burden, myvariant-queries ClawBio: pharmgx-reporter — PGx report from 23andMe/AncestryDNA (12 genes, 31 SNPs, 51 drugs) drug-photo — Photo of medication → personalized PGx dosage card (via vision) clinpgx — ClinPGx API for gene-drug data and CPIC guidelines gwas-lookup — Federated variant lookup across 9 genomic databases gwas-prs — Polygenic risk scores from consumer genetic data nutrigx_advisor — Personalized nutrition from consumer genetic data

Population Genetics & GWAS

bioSkills: population-genetics/ — association-testing (PLINK GWAS), plink-basics, population-structure, linkage-disequilibrium, scikit-allel-analysis, selection-statistics causal-genomics/ — mendelian-randomization, fine-mapping, colocalization-analysis, mediation-analysis, pleiotropy-detection phasing-imputation/ — haplotype-phasing, genotype-imputation, imputation-qc, reference-panels ClawBio: claw-ancestry-pca — Ancestry PCA against SGDP reference panel

Metagenomics & Microbiome

bioSkills: metagenomics/ — kraken-classification, metaphlan-profiling, abundance-estimation, functional-profiling, amr-detection, strain-tracking, metagenome-visualization microbiome/ — amplicon-processing, diversity-analysis, differential-abundance, taxonomy-assignment, functional-prediction, qiime2-workflow ClawBio: claw-metagenomics — Shotgun metagenomics profiling (taxonomy, resistome, functional pathways)

Genome Assembly & Annotation

bioSkills: genome-assembly/ — hifi-assembly, long-read-assembly, short-read-assembly, metagenome-assembly, assembly-polishing, assembly-qc, scaffolding, contamination-detection genome-annotation/ — eukaryotic-gene-prediction, prokaryotic-annotation, functional-annotation, ncrna-annotation, repeat-annotation, annotation-transfer long-read-sequencing/ — basecalling, long-read-alignment, long-read-qc, clair3-variants, structural-variants, medaka-polishing, nanopore-methylation, isoseq-analysis

Structural Biology & Chemoinformatics

bioSkills: structural-biology/ — alphafold-predictions, modern-structure-prediction, structure-io, structure-navigation, structure-modification, geometric-analysis chemoinformatics/ — molecular-io, molecular-descriptors, similarity-searching, substructure-search, virtual-screening, admet-prediction, reaction-enumeration ClawBio: struct-predictor — Local AlphaFold/Boltz/Chai structure prediction with comparison

Show full SKILL.md (386 more words)Show less
Proteomics

bioSkills: proteomics/ — data-import, peptide-identification, protein-inference, quantification, differential-abundance, dia-analysis, ptm-analysis, proteomics-qc, spectral-libraries ClawBio: proteomics-de — Proteomics differential expression

Pathway Analysis & Gene Networks

bioSkills: pathway-analysis/ — go-enrichment, gsea, kegg-pathways, reactome-pathways, wikipathways, enrichment-visualization gene-regulatory-networks/ — scenic-regulons, coexpression-networks, differential-networks, multiomics-grn, perturbation-simulation

Immunoinformatics

bioSkills: immunoinformatics/ — mhc-binding-prediction, epitope-prediction, neoantigen-prediction, immunogenicity-scoring, tcr-epitope-binding tcr-bcr-analysis/ — mixcr-analysis, scirpy-analysis, immcantation-analysis, repertoire-visualization, vdjtools-analysis

CRISPR & Genome Engineering

bioSkills: crispr-screens/ — mageck-analysis, jacks-analysis, hit-calling, screen-qc, library-design, crispresso-editing, base-editing-analysis, batch-correction genome-engineering/ — grna-design, off-target-prediction, hdr-template-design, base-editing-design, prime-editing-design

Workflow Management

bioSkills: workflow-management/ — snakemake-workflows, nextflow-pipelines, cwl-workflows, wdl-workflows ClawBio: repro-enforcer — Export any analysis as reproducibility bundle (Conda env + Singularity + checksums) galaxy-bridge — Access 8,000+ Galaxy tools from usegalaxy.org

Specialized Domains

bioSkills: alternative-splicing/ — splicing-quantification, differential-splicing, isoform-switching, sashimi-plots, single-cell-splicing, splicing-qc ecological-genomics/ — edna-metabarcoding, landscape-genomics, conservation-genetics, biodiversity-metrics, community-ecology, species-delimitation epidemiological-genomics/ — pathogen-typing, variant-surveillance, phylodynamics, transmission-inference, amr-surveillance liquid-biopsy/ — cfdna-preprocessing, ctdna-mutation-detection, fragment-analysis, tumor-fraction-estimation, methylation-based-detection, longitudinal-monitoring epitranscriptomics/ — m6a-peak-calling, m6a-differential, m6anet-analysis, merip-preprocessing, modification-visualization metabolomics/ — xcms-preprocessing, metabolite-annotation, normalization-qc, statistical-analysis, pathway-mapping, lipidomics, targeted-analysis, msdial-preprocessing flow-cytometry/ — fcs-handling, gating-analysis, compensation-transformation, clustering-phenotyping, differential-analysis, cytometry-qc, doublet-detection, bead-normalization systems-biology/ — flux-balance-analysis, metabolic-reconstruction, gene-essentiality, context-specific-models, model-curation rna-structure/ — secondary-structure-prediction, ncrna-search, structure-probing

Data Visualization & Reporting

bioSkills: data-visualization/ — ggplot2-fundamentals, heatmaps-clustering, volcano-customization, circos-plots, genome-browser-tracks, interactive-visualization, multipanel-figures, network-visualization, upset-plots, color-palettes, specialized-omics-plots, genome-tracks reporting/ — rmarkdown-reports, quarto-reports, jupyter-reports, automated-qc-reports, figure-export ClawBio: profile-report — Analysis profile reporting data-extractor — Extract numerical data from scientific figure images (via vision) lit-synthesizer — PubMed/bioRxiv search, summarization, citation graphs pubmed-summariser — Gene/disease PubMed search with structured briefing

Database Access

bioSkills: database-access/ — entrez-search, entrez-fetch, entrez-link, blast-searches, local-blast, sra-data, geo-data, uniprot-access, batch-downloads, interaction-databases, sequence-similarity ClawBio: ukb-navigator — Semantic search across 12,000+ UK Biobank fields clinical-trial-finder — Clinical trial discovery

Experimental Design

bioSkills: experimental-design/ — power-analysis, sample-size, batch-design, multiple-testing

Machine Learning for Omics

bioSkills: machine-learning/ — omics-classifiers, biomarker-discovery, survival-analysis, model-validation, prediction-explanation, atlas-mapping ClawBio: claw-semantic-sim — Semantic similarity index for disease literature (PubMedBERT) omics-target-evidence-mapper — Aggregate target-level evidence across omics sources

Environment Setup

These skills assume a bioinformatics workstation. Common dependencies:

bash
# Python
pip install biopython pysam cyvcf2 pybedtools pyBigWig scikit-allel anndata scanpy mygene

# R/Bioconductor
Rscript -e 'BiocManager::install(c("DESeq2","edgeR","Seurat","clusterProfiler","methylKit"))'

# CLI tools (Ubuntu/Debian)
sudo apt install samtools bcftools ncbi-blast+ minimap2 bedtools

# CLI tools (macOS)
brew install samtools bcftools blast minimap2 bedtools

# Or via Conda (recommended for reproducibility)
conda install -c bioconda samtools bcftools blast minimap2 bedtools fastp kraken2

Pitfalls

  • The fetched skills are NOT in Hermes SKILL.md format. They use their own structure (bioSkills: code pattern cookbooks; ClawBio: README + Python scripts). Read them as expert reference material.
  • bioSkills are reference guides — they show correct parameters and code patterns but aren't executable pipelines.
  • ClawBio skills are executable — many have --demo flags and can be run directly.
  • Both repos assume bioinformatics tools are installed. Check prerequisites before running pipelines.
  • For ClawBio, run pip install -r requirements.txt in the cloned repo first.
  • Genomic data files can be very large. Be mindful of disk space when downloading reference genomes, SRA datasets, or building indices.

© Tommy-yw, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in optional-skills/research/bioinformatics of Tommy-yw/RunbookHermes.

Open the folder on GitHubat commit 7fd2b9a

Used in 3 other repositories

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in Tommy-yw/RunbookHermes, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Bioinformatics next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Bioinformatics compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bioinformatics this skillTommy-yw/RunbookHermes5463 repos~3.4kAutomated safety check: NotesMIT
Dbsnp Databasegoogle-deepmind/science-skills3.2k3 repos~3.4kAutomated safety check: NotesApache-2.0
Metabolic Study Planneraiming-lab/AutoResearchClaw15k—~1.9kAutomated safety check: PassMIT
13C Metabolic Flux AnalysisK-Dense-AI/scientific-agent-skills48k1 repos~3.2kAutomated safety check: PassMIT
Alphagenome Single Variant Analysisgoogle-deepmind/science-skills3.2k2 repos~3kAutomated safety check: NotesApache-2.0
MFA Pipeline Orchestratoraiming-lab/AutoResearchClaw15k—~923Automated safety check: PassMIT

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Questions about Bioinformatics

What does Bioinformatics do?

Gateway to 400+ bioinformatics skills from bioSkills and ClawBio. Bioinformatics is an agent skill from Tommy-yw/RunbookHermes. Gateway to 400+ bioinformatics skills from bioSkills and ClawBio.

When should I use Bioinformatics?

Bioinformatics fits situations like: tasks that involve Bioinformatics.

How do I install Bioinformatics in Claude Code?

Run `npx skills add Tommy-yw/RunbookHermes --skill bioinformatics -a claude-code`. Or copy the skill folder (optional-skills/research/bioinformatics in Tommy-yw/RunbookHermes) into .claude/skills/bioinformatics in your project. Claude Code loads it when a task matches its description.

How do I install Bioinformatics in Codex?

Run `npx skills add Tommy-yw/RunbookHermes --skill bioinformatics -a codex`. Or copy the skill folder (optional-skills/research/bioinformatics in Tommy-yw/RunbookHermes) into .agents/skills/bioinformatics in your project. Codex loads it when a task matches its description.

Can I use Bioinformatics in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Tommy-yw/RunbookHermes --skill bioinformatics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bioinformatics, .gemini/skills/bioinformatics, .github/skills/bioinformatics and .opencode/skills/bioinformatics in your project.

What does Bioinformatics need to run?

Going by SKILL.md and its folder, Bioinformatics needs the command-line tools its instructions call (git, pip, apt, brew and conda). Our summary lists: Python 3.

Does Bioinformatics access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Bioinformatics safe to install?

Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Bioinformatics use?

Bioinformatics is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Bioinformatics use?

About 3.4k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Bioinformatics?

Skills that share tags, products or a category with Bioinformatics: Dbsnp Database (google-deepmind/science-skills, 3.2k stars), Metabolic Study Planner (aiming-lab/AutoResearchClaw, 15k stars), 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars) and Alphagenome Single Variant Analysis (google-deepmind/science-skills, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bioinformatics?

Tommy-yw (a GitHub user) maintains it in Tommy-yw/RunbookHermes, which has 546 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on May 18, 2026.

Source: Tommy-yw/RunbookHermes on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.