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

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.

Molecular machine learning requires specialized data handling, featurization, splitting, and model selection. This skill provides DeepChem guidance, reference workflows, and runnable training scripts.

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.

Research projects often lose time to incomplete, inconsistent, or incorrect references. This skill helps Claude, Codex, and Claude Code find citation metadata, validate entries, and format BibTeX files.

Drug discovery teams need reliable access to compound, target, and bioactivity records. This skill guides focused ChEMBL queries, structure searches, and result interpretation.

Population-scale single-cell queries can exceed memory or produce duplicated counts. This skill provides focused, reproducible query patterns for CELLxGENE Census analysis.

Bioinformatics research often requires separate interfaces for proteins, pathways, compounds, and identifiers. This skill guides unified BioServices workflows across major biological databases.

Complex biomedical analyses require coordinated reasoning, data access, and reproducible reporting. Biomni guides an autonomous agent through these multi-step research workflows.

Finding and interpreting predicted protein structures requires several APIs, formats, and confidence measures. This skill organizes AlphaFold DB retrieval, downloads, confidence analysis, and bulk workflows.

Large codebases are difficult to inspect within one assistant context. This skill delegates scoped research to Gemini CLI and returns structured findings for Claude, Codex, or Claude Code.

Developer guidance becomes outdated when models cannot access current community discussions. This skill queries daily.dev feeds and searches to support timely, source-aware research.

First responders need clear paths to verified home buying support, but program pages can be hard to interpret. This skill guides Claude, Codex, and Claude Code through public results and paid workspace context.

Complex architecture, debugging, and review questions often require evidence from code and documentation. The Oracle guides a Claude, Codex, or Claude Code agent through structured research and clear synthesis.

Complex questions often benefit from independent investigation paths. Delphi runs multiple identical oracle prompts and synthesizes their reports into one clear answer.

Early project decisions often rely on incomplete technical and market evidence. This skill coordinates specialist agents and combines sourced findings into a structured research report.

Large document sets are hard to reason over in one context window. This skill indexes documents into a graph for multi-hop queries with provenance.