Medical device teams need structured regulatory plans across FDA pathways, quality systems, privacy, and cybersecurity. This skill organizes those topics into practical assessments and strategies.

Scientific datasets often arrive in specialized formats that are hard to inspect quickly. This skill detects the format, summarizes contents, checks quality, and produces a clear EDA report.

Marketing campaigns need clear strategy, channel planning, assets, and measurement. This skill gives Claude, Codex, and Claude Code structured workflows, templates, and a UTM utility.

Manual spreadsheet review slows reporting and hides data quality issues. This skill guides Excel analysis with pandas, pivot tables, charts, cleaning steps, and formatted exports.

Phylogenetic tree work often needs repeatable manipulation, taxonomy lookup, and figure generation. This skill provides ETE patterns, helper scripts, and workflows for bioinformatics analysis.

Debugging errors wastes time when messages lack context. This skill guides classification, root cause analysis, fixes, verification, and reusable solution records.

Genomic researchers need reliable access to Ensembl data without memorizing every endpoint. This skill guides Claude, Codex, and Claude Code through gene, variant, sequence, and comparative genomics queries.

Researchers need reliable ENA queries and downloads. This skill guides Claude, Codex, and Claude Code through ENA APIs, formats, accessions, and bulk retrieval choices.

Writing clear business email takes time and can vary by audience. This skill provides structured templates, tone guidance, and checklist support for polished messages.

DrugBank data is rich but difficult to parse across XML, interactions, targets, and structures. This skill guides Claude, Codex, and Claude Code through repeatable DrugBank analysis workflows.

Molecular docking workflows require careful setup, validated inputs, and cautious result interpretation. This skill guides Claude, Codex, and Claude Code through DiffDock setup, docking runs, batch screening, and confidence-score analysis.

Infrastructure teams need consistent patterns for cloud, Kubernetes, CI/CD, and observability. This skill provides structured guidance, templates, and local utilities for IaC delivery.

Teams must translate privacy laws into product, policy, and engineering controls. This skill provides structured guidance for rights requests, consent, DPIAs, notices, and breach response.

Cheminformatics workflows often require detailed RDKit code for routine molecular processing. This skill provides focused Datamol guidance for analysis, visualization, and scalable data preparation.

Large datasets can exceed memory or make pandas and NumPy workflows too slow. This skill guides Dask collections, schedulers, chunking, and distributed execution.

Finding comparable public statistics across sources can require complex identifiers and API knowledge. This skill guides Data Commons queries, entity resolution, graph exploration, and result analysis.

ClinVar data is large, versioned, and difficult to interpret safely. This skill guides Claude, Codex, and Claude Code through ClinVar searches, evidence review, and variant annotation workflows.

Pharmacogenomics data is spread across guidelines, labels, variants, and literature annotations. This skill helps Claude, Codex, and Claude Code query ClinPGx resources and summarize gene-drug evidence.

Finding relevant public trial records requires precise filters and careful review of nested registry data. This skill searches ClinicalTrials.gov and produces focused summaries or exports.

Clinical teams need clear reports that follow medical and regulatory standards. This skill provides templates, checklists, and validation guidance for case reports, diagnostics, trials, and patient notes.