Search teams need clear guidance for content, metadata, schema, and page performance. This skill provides practical SEO checklists, examples, and optimization patterns for Claude, Codex, and Claude Code.

Production ML systems are hard to design, deploy, monitor, and improve reliably. This skill gives Claude, Codex, and Claude Code structured ML engineering guidance.

Frontend work often needs consistent React patterns, performance checks, and project scaffolding. This skill gives Claude and compatible agents practical guidance and local helper scripts for modern web application development.

Architecture choices are hard to compare across product, scale, security, and team constraints. This skill gives structured guidance, references, and helper scripts for clearer decisions.

Security teams often need consistent methods for risk, controls, and incident response. This skill provides practical frameworks, templates, and local assessment tools.

Choosing appropriate statistical plots and settings can be difficult when datasets contain multiple variable types and groups. This skill guides Seaborn plot selection, composition, styling, and troubleshooting.

Single-cell analyses require careful model and workflow choices across diverse modalities. This skill provides scvi-tools guidance for preprocessing, model selection, training, integration, and interpretation.

Censored time-to-event data requires specialized preparation, modeling, and evaluation. This skill guides practical scikit-survival workflows from outcome encoding through model comparison.

Classical machine learning projects require careful preprocessing, model selection, and evaluation. This skill provides scikit-learn guidance, reusable pipeline patterns, and complete examples.

Bioinformatics workflows require precise handling of sequences, trees, diversity, and ecological statistics. This skill guides Claude, Codex, and Claude Code through practical scikit-bio methods.

Scientific manuscripts require precise structure, evidence, and reporting standards. This skill guides drafting, revision, citations, visuals, and journal preparation through a structured workflow.

Scientific figures often fail journal checks for size, color, typography, or export format. This skill guides Claude, Codex, and Claude Code through publication-ready plotting workflows.

Scientific talks often overload audiences with dense text and poor pacing. This skill structures, designs, and validates clear PowerPoint, PDF, or Beamer presentations.

Scientific claims can overstate what methods and data support. This skill applies structured checks for validity, bias, statistics, reasoning, and evidence quality.

Academic reviews can be inconsistent and difficult to compare across drafts. This skill applies structured ScholarEval criteria to produce clear scores, evidence-based feedback, and revision priorities.

Single-cell RNA-seq workflows require careful QC, normalization, clustering, and documentation. This skill gives Scanpy workflows, scripts, templates, and references for reproducible analysis.

Researchers must align complex proposals with agency criteria, structure, and submission rules. This skill guides drafts for NSF, NIH, DOE, and DARPA applications.

Biology teams need fast access to curated pathway data without memorizing Reactome endpoints. This skill guides Claude, Codex, and Claude Code through pathway queries, enrichment analysis, and result interpretation.

Quantum models require careful solver choices and clear analysis workflows. This skill guides Claude, Codex, and Claude Code through QuTiP simulations, measurements, and visualizations.

Medical device teams need structured quality processes that align with ISO 13485. This skill provides practical guidance for QMS design, audits, CAPA, and reviews.