Scientific research slows down when ideas, methods, analysis, and manuscripts live in separate tools. Denario coordinates these stages with multiagent automation and reproducible project outputs.

NGS analysis often requires careful command selection, normalization, and file validation. This skill helps users build deepTools workflows for coverage, QC, comparison, and visualization.

Molecular machine learning often requires specialized featurizers, datasets, and evaluation methods. This skill helps Claude, Codex, and Claude Code design DeepChem workflows for property prediction, transfer learning, and benchmarks.

Cancer researchers need trusted mutation data without hunting through many files. This skill explains COSMIC datasets, file paths, downloads, and analysis patterns for Claude, Codex, and Claude Code.

Systems biology teams need reliable guidance for COBRApy analyses, from model loading to flux studies. This skill provides focused workflows and API patterns for Claude, Codex, and Claude Code.

Clinical research teams need consistent evidence summaries, biomarker analyses, and treatment algorithms. This skill creates structured CDS reports with statistics, GRADE evidence grading, and publication-ready LaTeX formatting.

Enzyme research often requires structured access to kinetic and organism-specific data. This skill helps Claude, Codex, and Claude Code query BRENDA records and turn them into usable biochemical analysis.

Finding relevant life science preprints across dates, authors, and categories can be slow. This skill searches bioRxiv, formats metadata, and downloads PDFs for review.

Bioinformatics work often requires accurate parsing, database access, and reproducible analysis steps. This skill guides Claude, Codex, and Claude Code through practical Biopython workflows for molecular biology data.

Lab teams need reliable access to Benchling data without manual copying. This skill guides API and SDK workflows for registry, inventory, ELN, workflow, and analytics tasks.

Protein teams need a reliable path from designed sequences to experimental validation. This skill guides Claude, Codex, and Claude Code through Adaptyv API setup, experiment submission, status tracking, and result handling.

Creators need consistent bilingual picture books with age-aware learning goals. This skill builds story pages, Chinese-English text, and image prompts from structured choices.

Posting AI-written threads manually can be slow and error prone. This skill opens X, pastes prepared content, and saves drafts for review.

Content teams often collect more topic ideas than they can publish. This skill scores each idea and highlights the strongest options for X posts.

Writing consistent X content is hard when each post needs a clear hook, style, and format. This skill drafts tweets, threads, and replies from a persona and post patterns.

X creators need current source material before writing posts. This skill guides Claude, Codex, and Claude Code through four search rounds and a structured research report.

Crawl configuration mistakes can hide pages from search engines or produce invalid sitemap data. This skill checks local robots.txt and sitemap XML files and reports actionable findings.

Project documentation becomes stale when it relies on assumptions. This skill inspects repository evidence and creates a tailored README with installation, usage, API, and license sections.

Writing accurate conventional commits from complex staged changes takes time and can produce inconsistent results. This skill inspects staged Git changes and recommends a concise, scoped commit message.

Local applications often fail because runtimes, dependencies, ports, variables, permissions, or services are misconfigured. Env Doctor checks these conditions and returns prioritized, platform-specific fixes without exposing environment values.