Reads, validates, and exports protocols.io data against current v3/v4 REST and MCP contracts, while mutations are produced only as non-executing dry-run plans.
Guides Claude to build, simulate, transpile, and run quantum circuits with modern Qiskit 2.x and IBM Quantum Runtime.
Run a complete bulk RNA-seq differential expression analysis in Python with PyDESeq2, from raw counts to volcano plots.
Guides correct pysam usage for reading, querying, filtering, and writing SAM/BAM/CRAM, VCF/BCF, FASTA/FASTQ, and tabix data.
Teaches Claude to build and run cloud molecular-modeling pipelines — pKa, conformers, docking, cofolding — through Rowan's Python API.
An end-to-end Scanpy workflow skill for scRNA-seq: QC, normalization, dimensionality reduction, clustering, marker genes and cell-type annotation.
Qualitative-first, evidence-traceable developmental review for papers, protocols and research ideas.
A complete scVelo workflow skill for inferring cell-state transition directions, latent time, and driver genes from spliced/unspliced mRNA dynamics.
Guides the full Stable Baselines3 workflow — algorithm choice, custom envs, callbacks, training and evaluation.
Equips Claude to run scikit-bio workflows — sequences, alignments, phylogenetic trees, diversity metrics, PCoA and PERMANOVA — with the current 0.7+ API.
An expert-level skill for building, testing, and analyzing bounded process-based discrete-event simulations with SimPy.
Gives Claude accurate, version-current PyTorch Geometric patterns for node/link/graph tasks, heterogeneous graphs, and large-scale sampling.
Writes and debugs TorchDrug 0.2.1 code for molecular property prediction, generation, retrosynthesis, protein and knowledge-graph learning.
An expert-level guide for building, tuning, and auditing right-censored and competing-risk survival models with scikit-survival.
Guides Claude to read, edit, compare, annotate, and visualize phylogenetic trees with ETE 4.
Plans, validates, and evaluates ChicagoHAI HypoGeniC/HypoRefine runs for LLM-assisted hypothesis generation from labeled text data.
Run open-source structural-biology tools like AlphaFold, RFdiffusion and DiffDock on Tamarind Bio's managed cloud GPUs via REST API or MCP.
Guides Claude to build clinical ML pipelines with PyHealth following the dataset → task → model → trainer → metrics pattern.
A skill for building, differentiating and training quantum circuits with PennyLane across IBM, Google, Rigetti and IonQ backends.