Browse Secure Claude Skills
Search verified agent skills and review security grades before installing · full A–Z index
- Scientific Pkg DeepchemMolecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.Votes: 0GitHub stars: 16
- Scientific Pkg Datacommons ClientWork with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.Votes: 0GitHub stars: 16
- Scientific Pkg Cellxgene CensusQuery CZ CELLxGENE Census (61M+ cells). Filter by cell type/tissue/disease, retrieve expression data, integrate with scanpy/PyTorch, for population-scale single-cell analysis.Votes: 0GitHub stars: 16
- Scientific Pkg BiopythonPrimary Python toolkit for molecular biology. Preferred for Python-based PubMed/NCBI queries (Bio.Entrez), sequence manipulation, file parsing (FASTA, GenBank, FASTQ, PDB), advanced BLAST workflows, structures, phylogenetics. For quick BLAST, use gget. For direct REST API, use pubmed-database.Votes: 0GitHub stars: 16
- Scientific Pkg AstropyComprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.Votes: 0GitHub stars: 16
- Scientific Pkg AeonThis skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.Votes: 0GitHub stars: 16
- Transforming DataTransform raw data into analytical assets using modern transformation patterns, frameworks, and orchestration tools.Votes: 0GitHub stars: 517
- Sampling Bluesky ZeitgeistDEPRECATED - Use browsing-bluesky skill instead. Sample and analyze Bluesky firehose to identify trending topics and content clusters. Use when user asks about "what's happening on Bluesky", "Bluesky trends", "zeitgeist", "firehose analysis", or wants to see real-time topic clusters from the network.Votes: 0GitHub stars: 150
- Extracting KeywordsExtract keywords from text using YAKE (Yet Another Keyword Extractor), an unsupervised statistical keyword extraction algorithm.Votes: 0GitHub stars: 150
- Exploring DataExploratory data analysis. Use when users upload .csv/.xlsx/.json/.parquet files or request "explore data", "analyze dataset", "EDA", "profile data". Small files get ydata-profiling HTML/JSON reports; large files (over 200MB or 5M rows) get fixed-memory DuckDB/sketch profiling. Also covers near-duplicate row detection, cross-file key overlap ("can these join?"), dataset drift vs a stored baseline, and time-series profiling.Votes: 0GitHub stars: 150
- Charting Vega Lite``` **Read sample data and column names to infer what the data represents:** - **Biomedical data?** → Biomarkers, patient outcomes, clinical relevance - **Financial data?** → Trends, comparisons, performance metrics - **Sensor data?** → Temporal patterns, anomalies, correlations - **E-commerce?** → Sales trends, product comparisons, conversions **Ask:** What questions would someone analyzing this data want answered? Examples: - Assay data: Which biomarkers strongest? Patterns across samples? ...Votes: 0GitHub stars: 150
- Rank TrackerThis skill helps you track, analyze, and report on keyword ranking positions over time. It monitors both traditional SERP rankings and AI/GEO visibility to provide comprehensive search performance insights.Votes: 1GitHub stars: 182
- Financial Document ParserExtract structured data from financial documents with automatic categorization and analysis.Votes: 0GitHub stars: 393
- EdgartoolsAnalyze SEC filings and financial statements using EdgarToolsVotes: 0GitHub stars: 393
- CSV Data SummarizerThis Skill analyzes CSV files and provides comprehensive summaries with statistical insights and visualizations.Votes: 0GitHub stars: 458
- Timeline CreatorCreate interactive HTML timelines and project roadmaps with Gantt charts and milestones.Votes: 0GitHub stars: 666
- Dashboard CreatorCreate interactive HTML dashboards with KPI cards and charts.Votes: 0GitHub stars: 666