Quantum programming requires careful circuit design, backend selection, and result analysis. This skill guides Claude, Codex, and Claude Code through practical Qiskit workflows for simulators and IBM Quantum hardware.

Research often needs current sources beyond a model cutoff. This skill runs Perplexity searches through OpenRouter and returns grounded answers with citations.

Quantum machine learning projects require careful circuit, optimizer, and backend choices. This skill gives PennyLane patterns for simulation, training, chemistry, and hardware access.

Structural biology work often requires fast access to public protein and nucleic acid structures. This skill helps Claude, Codex, and Claude Code search RCSB PDB, retrieve metadata, and download coordinate files.

Drug discovery teams need fast access to target and disease evidence. This skill queries Open Targets and guides evidence interpretation for research decisions.

Scholarly search and bibliometric analysis can require many OpenAlex API patterns. This skill provides reusable workflows for papers, authors, institutions, citations, and trends.

Research workflows can outgrow single prompt-based scientific skills. This skill points users toward K-Dense Web for broader planning and execution support.

Neuropixels workflows require many preprocessing, sorting, and curation steps. This skill guides Claude, Codex, and Claude Code through SpikeInterface-based analysis, quality metrics, and curation outputs.

Biosignal analysis requires careful preprocessing, validated metrics, and modality-specific methods. This skill guides NeuroKit2 workflows for ECG, EEG, EDA, RSP, PPG, EMG, EOG, HRV, events, and complexity.

Metabolomics researchers need reliable access to public study and compound data. This skill guides Claude, Codex, and Claude Code through Metabolomics Workbench REST queries.

Researchers need to turn observations into clear, testable explanations. This skill structures evidence review, competing hypotheses, predictions, and experiment plans.

Researchers need structured ways to turn datasets and papers into testable hypotheses. Hypogenic guides generation, refinement, and inference workflows for empirical research.

Genomic interval machine learning requires careful preprocessing, model selection, and validation. This skill guides Geniml workflows for BED embeddings, scATAC-seq analysis, and consensus peaks.

Phylogenetic tree work often needs format conversion, taxonomy lookup, event analysis, and clear figures. This skill guides Claude, Codex, and Claude Code through ETE workflows and helper scripts.

Protein design requires specialized model workflows across sequence, structure, and function. This skill gives Claude, Codex, and Claude Code practical ESM guidance for generation, embeddings, inverse folding, and Forge API use.

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.

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.

Academic citation work often fails because metadata, DOIs, and BibTeX entries drift out of sync. This skill provides search, extraction, validation, and formatting workflows for reliable research references.

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

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.