Claude Scientific Skills
by @lingxling · plugin · 45 skills
Claude Scientific Skills from lingxling/awesome-skills-cn.
Install the whole plugin (CLI)
npx skillmds add lingxling/esm
npx skillmds add lingxling/aeon
npx skillmds add lingxling/bids
npx skillmds add lingxling/cirq
npx skillmds add lingxling/dask
npx skillmds add lingxling/gget
npx skillmds add lingxling/pymc
npx skillmds add lingxling/shap
npx skillmds add lingxling/vaex
npx skillmds add lingxling/arbor
npx skillmds add lingxling/gtars
npx skillmds add lingxling/modal
npx skillmds add lingxling/pymoo
npx skillmds add lingxling/pysam
npx skillmds add lingxling/pytdc
npx skillmds add lingxling/qutip
npx skillmds add lingxling/rdkit
npx skillmds add lingxling/rowan
npx skillmds add lingxling/simpy
npx skillmds add lingxling/sympy
npx skillmds add lingxling/depmap
npx skillmds add lingxling/flowio
npx skillmds add lingxling/geniml
npx skillmds add lingxling/matlab
npx skillmds add lingxling/pathml
npx skillmds add lingxling/plotly
npx skillmds add lingxling/polars
npx skillmds add lingxling/qiskit
npx skillmds add lingxling/scanpy
npx skillmds add lingxling/scvelo
npx skillmds add lingxling/adaptyv
npx skillmds add lingxling/anndata
npx skillmds add lingxling/astropy
npx skillmds add lingxling/cobrapy
npx skillmds add lingxling/datamol
npx skillmds add lingxling/denario
npx skillmds add lingxling/lamindb
npx skillmds add lingxling/matchms
npx skillmds add lingxling/medchem
npx skillmds add lingxling/molfeat
npx skillmds add lingxling/onekgpd
npx skillmds add lingxling/primekg
npx skillmds add lingxling/pydicom
npx skillmds add lingxling/seaborn
npx skillmds add lingxling/writingSkills in this plugin
- ▌ esm · lingxling bundleGenerates and analyzes protein sequences and structures using ESM3, ESMC, and ESMFold2, with support for local and cloud inference.
- ▌ aeon · lingxling bundleRuns time series machine learning tasks—classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search—using the scikit-learn compatible aeon toolkit.
- ▌ bids · lingxling bundleOrganize, query, validate, and convert neuroscience datasets following the Brain Imaging Data Structure (BIDS) standard, including metadata sidecars and derivatives.
- ▌ cirq · lingxling bundleDesign, simulate, and run quantum circuits on Google Quantum AI and partner hardware using Cirq, including noise modeling and characterization experiments.
- ▌ dask · lingxling bundleScales pandas and NumPy workflows to datasets larger than memory using parallel and distributed computing, with support for dataframes, arrays, bags, and custom task graphs.
- ▌ gget · lingxling bundleQueries 20+ bioinformatics databases from the command line or Python for gene info, sequences, BLAST/BLAT, protein structures, viral data, and expression metrics.
- ▌ pymc · lingxling bundleBuild, fit, validate, and compare Bayesian models using PyMC, including hierarchical models, MCMC sampling, variational inference, posterior predictive checks, and model comparison.
- ▌ shap · lingxling bundleExplains machine learning model predictions using SHAP values, covering feature importance, visualizations, debugging, bias analysis, and production deployment.
- ▌ vaex · lingxling bundleProcess and analyze tabular datasets larger than RAM using lazy, out-of-core DataFrames, with fast aggregations, visualization, and machine learning integration.
- ▌ arbor · lingxling bundleRuns an autonomous optimization loop that iteratively improves an artifact against an objective and evaluator using Hypothesis Tree Refinement, with subagent executors in isolated git worktrees.
- ▌ gtars · lingxling bundleHigh-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
- ▌ modal · lingxling bundleDeploy and scale Python AI/ML workloads on Modal's serverless cloud, including GPU compute, web endpoints, scheduled jobs, and persistent storage.
- ▌ pymoo · lingxling bundleSolves single- and multi-objective optimization problems with NSGA-II/III, MOEA/D, and other evolutionary algorithms, including constraint handling, Pareto front analysis, and benchmark problems.
- ▌ pysam · lingxling bundleRead, write, and analyze genomic datasets including SAM/BAM/CRAM alignments, VCF/BCF variants, and FASTA/FASTQ sequences using a Pythonic interface to htslib.
- ▌ pytdc · lingxling bundleAccess AI-ready drug discovery datasets, benchmarks, and molecular oracles from Therapeutics Data Commons for therapeutic machine learning and pharmacological prediction.
- ▌ qutip · lingxling bundleSimulate and analyze quantum mechanical systems, including open quantum systems, using QuTiP's solvers for master equations, Lindblad dynamics, and quantum trajectories.
- ▌ rdkit · lingxling bundleProvides guidance for using RDKit to read and write molecular structures, calculate descriptors, generate fingerprints, perform substructure searches, and handle chemical reactions.
- ▌ rowan · lingxling bundleRun cloud-native molecular modeling and drug-design workflows via a Python API, covering pKa prediction, docking, conformer and tautomer ensembles, molecular dynamics, and related small-molecule or protein tasks without local HPC infrastructure.
- ▌ simpy · lingxling bundleBuild discrete-event simulations of systems with processes, queues, resources, and time-based events using the SimPy framework in Python.
- ▌ sympy · lingxling bundleProvides guidance for using SymPy for exact symbolic mathematics in Python, covering algebra, calculus, equation solving, linear algebra, physics, and code generation.
- ▌ depmap · lingxling bundleQuery the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores (CRISPR Chronos), drug sensitivity data, and gene effect profiles. Use for identifying cancer-specific vulnerabilities, synthetic lethal interactions, and validating oncology drug targets.
- ▌ flowio · lingxling bundleParse FCS (Flow Cytometry Standard) files v2.0-3.1, extracting events as NumPy arrays, metadata, and channel information, with support for creating and modifying FCS files.
- ▌ geniml · lingxling bundleTrains machine learning models on genomic interval data from BED files, including region embeddings, single-cell ATAC-seq analysis, and consensus peak building.
- ▌ matlab · lingxling bundleNumerical computing with MATLAB and GNU Octave for matrix operations, data analysis, visualization, and scientific computing, including script execution and syntax guidance.
- ▌ pathml · lingxling bundleLoads and processes whole-slide pathology images, builds spatial graphs, trains deep learning models, and analyzes multiplexed immunofluorescence data across 160+ slide formats.
- ▌ plotly · lingxling bundleCreates interactive, publication-quality charts with 40+ types, hover tooltips, zoom, and web-embeddable exports for dashboards and exploratory analysis.
- ▌ polars · lingxling bundleHigh-performance DataFrame library for Python ETL, analytics, and pandas migration. Use for expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.
- ▌ qiskit · lingxling bundleBuild, optimize, and execute quantum circuits on IBM Quantum hardware or local simulators using Qiskit, including transpilation, primitives, and algorithm libraries.
- ▌ scanpy · lingxling bundleRuns standard single-cell RNA-seq analysis with Scanpy, covering QC, normalization, dimensionality reduction, clustering, marker identification, visualization, and conversion of R single-cell formats to h5ad.
- ▌ scvelo · lingxling bundleAnalyze RNA velocity in single-cell RNA-seq data with scVelo, estimating cell state transitions from unspliced/spliced mRNA dynamics, inferring trajectory directions, computing latent time, and identifying driver genes.
- ▌ adaptyv · lingxling bundleSubmit protein sequences to the Adaptyv Bio Foundry for experimental characterization (binding, thermostability, expression, fluorescence) and retrieve results using the REST API or Python SDK.
- ▌ anndata · lingxling bundleManages annotated data matrices for single-cell genomics, covering creation, I/O, concatenation, and manipulation of AnnData objects in h5ad and zarr formats.
- ▌ astropy · lingxling bundleProvides guidance on using the Astropy library for astronomy and astrophysics workflows, including units, coordinates, FITS I/O, tables, time, WCS, and cosmology.
- ▌ cobrapy · lingxling bundlePerforms constraint-based metabolic modeling with COBRApy: FBA, FVA, gene knockouts, flux sampling, and SBML model handling for systems biology and metabolic engineering.
- ▌ datamol · lingxling bundlePythonic wrapper around RDKit for cheminformatics, simplifying SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, and parallel processing while returning native rdkit.Chem.Mol objects.
- ▌ denario · lingxling bundleAutomates scientific research workflows from data analysis to publication, orchestrating multiple agents for hypothesis generation, methodology development, computational experiments, and LaTeX paper writing.
- ▌ lamindb · lingxling bundleManages biological datasets and models with LaminDB, covering setup, artifact registration, querying, lineage tracking, validation, ontology annotation, collections, branches, storage, and workflow integrations.
- ▌ matchms · lingxling bundleProcess and analyze mass spectrometry data with the Matchms Python library, including importing spectra, filtering peaks, calculating similarity scores, and building reproducible analytical workflows.
- ▌ medchem · lingxling bundleFilters and prioritizes compound libraries in drug discovery using drug-likeness rules, structural alerts, complexity metrics, and a query language.
- ▌ molfeat · lingxling bundleConvert chemical structures (SMILES or RDKit molecules) into numerical representations for machine learning, covering 100+ featurizers including ECFP, MACCS, descriptors, and pretrained models like ChemBERTa, with support for QSAR modeling and virtual screening.
- ▌ onekgpd · lingxling bundleQueries the 1000 Genomes Project dataset (3,202 whole-genome-sequenced individuals, GRCh38) at the level of individual participants, returning variants, carriers, and relatedness with allele frequencies and annotations.
- ▌ primekg · lingxling bundleQuery the Precision Medicine Knowledge Graph (PrimeKG) for multiscale biological data including genes, drugs, diseases, phenotypes, and more.
- ▌ pydicom · lingxling bundleRead, write, and modify DICOM medical imaging files, including pixel data extraction, anonymization, format conversion, and compression handling.
- ▌ seaborn · lingxling bundleCreate publication-quality statistical graphics in Python with seaborn, covering relational, distribution, and categorical plots with pandas integration.
- ▌ writing · lingxling bundleProduces academic papers, literature reviews, grant proposals, and clinical reports with LaTeX formatting and verified citations, using research-lookup and parallel-web skills.