Browse Skills

Plugin Settings documents the .claude/plugin-name.local.md pattern for storing per-project plugin configuration with YAML frontmatter and markdown content. Use it when configuring plugin behavior in hooks, commands, and agents.

Dask scales pandas and NumPy workflows to larger-than-memory datasets and across clusters. Use it when you need parallel file processing, distributed ML, or to scale existing pandas/NumPy code beyond memory.

Database Lookup queries documented public database APIs to retrieve reproducible facts from named sources. Use it when a scientific, regulatory, financial, or other database-backed fact must be retrieved reproducibly rather than inferred.

Datamol provides a Pythonic wrapper around RDKit for molecular cheminformatics, including SMILES parsing, standardization, descriptors, fingerprints, clustering, and 3D conformers. Use it for drug discovery and molecular data workflows.

DeepChem enables molecular property prediction, drug discovery, and materials design through molecular featurization, MoleculeNet benchmarks, and training of classical ML and graph neural network models. Use it for ADMET/toxicity prediction, transfer learning with pretrained chemistry models, or benchmarking on datasets like Tox21 and BBBP.

Adaptyv Bio Foundry API connects agents to the Adaptyv Bio cloud lab for submitting protein sequences, running assays, and retrieving experimental results. Use it when building workflows for protein binding, thermostability, expression, or fluorescence experiments.

Aeon is a scikit-learn compatible toolkit for time series machine learning, covering classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use it when working with temporal data or time-indexed observations requiring specialized algorithms beyond standard ML approaches.

Analytical Method Validation plans and evaluates validation, verification, and transfer of analytical procedures under ICH Q2(R2), Q14, USP <1225>, CLSI EP, and ISO/IEC 17025. Use it for HPLC, LC-MS/MS, GC, qPCR, and ligand binding assays.

AnnData handles annotated data matrices for single-cell analysis, storing measurements, metadata, and multi-dimensional annotations. Use it when working with .h5ad files or integrating with the scverse ecosystem.

Arbor autonomously improves a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator using Hypothesis Tree Refinement (HTR). Use it for iterative optimization over many experiments without overfitting.

Arboreto infers gene regulatory networks from gene expression data using scalable ensemble regression algorithms (GRNBoost2, GENIE3). Use when analyzing bulk or single-cell RNA-seq data to identify transcription factor-target relationships and regulatory interactions.

Astropy provides core Python functionality for astronomy and astrophysics workflows, including units, coordinates, FITS I/O, tables, time, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.