lingxling
- 442 skills
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- 253 repo stars
- 2 weeks ago last updated
- ▌ Vexor · lingxlingProvides guidance and patterns for using a vector-powered CLI for semantic file search with Claude and Codex skills.
- ▌ 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.
- ▌ PDF · lingxling bundleReads, extracts, merges, splits, rotates, watermarks, creates, encrypts, and OCRs PDF files using Python libraries and command-line tools.
- ▌ DOCX · lingxling bundleCreates, reads, edits, and manipulates Word documents (.docx) with formatting, tables, images, and tracked changes.
- ▌ PPTX · lingxling bundleCreates, reads, edits, and converts PowerPoint presentations, including extracting text, generating slide images, and applying design guidance.
- ▌ XLSX · lingxling bundleCreates, edits, and analyzes spreadsheet files using pandas and openpyxl, with formula-based calculations and professional formatting standards.
- ▌ Claude API · lingxling bundleReference for building LLM-powered apps with Claude: model selection, SDK usage, streaming, tool use, and migration guidance.
- ▌ Esm · lingxling bundleGenerates and analyzes protein sequences and structures using ESM3, ESMC, and ESMFold2, with support for local and cloud inference.
- ▌ MCP Builder · lingxling bundleGuides the creation of high-quality MCP servers that let LLMs interact with external services through well-designed tools, covering planning, implementation, testing, and evaluation.
- ▌ Jq · lingxlingQuery, filter, transform, and aggregate JSON data using jq, with practical patterns for shell pipelines and CLI integration.
- ▌ 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.
- ▌ 007 · lingxling bundleRuns a six-phase security audit covering attack-surface mapping, STRIDE/PASTA threat modeling, technical checklists, red/blue team exercises, and a final verdict, plus incident-response and monitoring guidance.
- ▌ Cro · lingxling bundleAnalyzes marketing pages and forms to identify conversion barriers and provides prioritized, actionable recommendations for improving conversion rates.
- ▌ Lex · lingxling bundleProvides jurisdiction-specific legal context and contract scaffolding for the US, EU, and Canada, grounding agents in verified government references to reduce legal hallucinations.
- ▌ Odw · lingxlingOrchestrates dynamic multi-agent workflows by planning first, then running parallel agents with adversarial verification through a local daemon or native fallback.
- ▌ SEO · lingxling bundleRuns a broad SEO audit covering technical SEO, on-page SEO, schema, sitemaps, content quality, AI search readiness, and GEO, with a weighted health score and prioritized action plan.
- ▌ Tdd · lingxling bundleGuides test-first development with vertical slices, writing one behavior test at a time and refactoring only when green.
- ▌ Wgm · lingxlingTurns a rough request into working software via a governed build loop: align first, plan, then iterate one task at a time with deterministic backpressure and holdout-scenario judging.
- ▌ 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.