Manual LabArchives API work makes notebook backups, entries, and integrations slow and error-prone. This skill provides scripts and references for authenticated notebook automation.

Finding connected biological records across KEGG can require several REST operations and careful identifier handling. This skill supplies focused helpers and references for reproducible academic queries.

IT teams need consistent methods for reliable services and incident response. This skill provides structured workflows, metrics, runbooks, automation guidance, and recovery practices.

Pull request failures and scattered review feedback slow delivery. This skill investigates evidence, applies targeted fixes, and repeats checks until the branch is ready.

HealthTech and MedTech teams need structured security governance that aligns operational risks with ISO 27001 requirements. This skill guides ISMS design, risk assessment, control selection, compliance monitoring, and certification preparation.

Metabolomics researchers need reliable guidance for navigating HMDB records, spectra, biomarkers, and bulk datasets. This skill explains search methods, key fields, evidence checks, and practical workflows for using HMDB with Claude or Codex.

Researchers need reliable access to curated GWAS associations. This skill guides Claude, Codex, and Claude Code through public GWAS Catalog searches and API queries.

Genomic interval workflows require precise commands and APIs across several data formats. This skill guides Gtars operations for overlaps, coverage, tokenization, fragments, and references.

Failing pull request checks can hide the actionable error inside long GitHub Actions logs. This skill finds failed checks, summarizes relevant logs, and guides an approved fix.

Review feedback can be difficult to organize and resolve. This skill summarizes open PR comments, asks which items to address, and guides selected fixes.

Bioinformatics work often requires switching between many databases and command formats. This skill helps Claude use gget to query genes, sequences, structures, expression data, and disease associations through one workflow.

Large scientific workloads can fail or underperform when hardware constraints are unknown. This skill inventories local resources and recommends suitable processing, memory, storage, and acceleration strategies.

Geospatial work often fails when file formats, coordinate systems, and spatial operations are unclear. This skill provides GeoPandas patterns for loading, transforming, analyzing, and mapping vector data.

Researchers need reliable access to public gene expression studies before analysis. This skill guides GEO search, download, metadata review, and transcriptomics workflows.

Genomic interval analysis needs consistent tokenization, embedding training, and quality checks across BED datasets. This skill guides Geniml workflows for Region2Vec, BEDspace, scEmbed, consensus peaks, and evaluation.

Gene lookup often requires several NCBI endpoints and careful query formatting. This skill gives Claude, Codex, and Claude Code reusable workflows for gene search, retrieval, and batch annotation.

Organizations need structured reviews of complex European data protection duties. This skill creates practical assessment frameworks for GDPR and German compliance work.

Configuring reproducible CFD experiments across solvers, grids, and HPC environments is complex. This skill guides FluidSim setup, parameter selection, execution, and output analysis.

FCS files contain binary events and metadata that are difficult to inspect directly. FlowIO guides parsing, conversion, validation, and file creation with focused Python workflows.

FDA regulatory data is scattered across many openFDA endpoints. This skill helps AI agents query drugs, devices, foods, veterinary products, and substances.