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Data & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
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Showing 12,865–12,888 of 12,907 skills
- Liquidity Pool AnalyzerAnalyze liquidity pool metrics including TVL, volume, fees, and impermanent loss. Use when analyzing DEX liquidity pools. Trigger with phrases like "analyze pool", "check TVL", or "calculate impermanent loss".Votes: 0GitHub stars: 2,719
- Crypto Signal GeneratorGenerate trading signals using technical indicators and on-chain metrics. Use when receiving trading signals and alerts. Trigger with phrases like "get trading signals", "check indicators", or "analyze signals".Votes: 0GitHub stars: 2,719
- Crypto Portfolio TrackerTrack multi-chain crypto portfolio with real-time valuations and performance metrics. Use when managing multi-chain crypto holdings. Trigger with phrases like "track my portfolio", "check holdings", or "analyze positions".Votes: 0GitHub stars: 2,719
- Crypto News AggregatorAggregate breaking crypto news, announcements, and market-moving events in real-time. Use when staying updated on crypto market events. Trigger with phrases like "get crypto news", "check latest announcements", or "scan for updates".Votes: 0GitHub stars: 2,719
- Crypto Derivatives TrackerTrack futures, options, and perpetual swap positions with P&L calculations. Use when tracking futures and options positions. Trigger with phrases like "track derivatives", "check futures positions", or "analyze perps".Votes: 0GitHub stars: 2,719
- Arbitrage Opportunity FinderIdentify profitable arbitrage opportunities across exchanges and DEXs in real-time. Use when discovering profitable arbitrage across exchanges. Trigger with phrases like "find arbitrage", "scan for arb opportunities", or "check arbitrage".Votes: 0GitHub stars: 2,719
- Excel AnalysisAnalyze Excel spreadsheets, create pivot tables, generate charts, and perform data analysis. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files.Votes: 0GitHub stars: 30,495
- XlsxComprehensive Excel spreadsheet creation, editing, and analysis with support for formulas, formatting, charts, data analysis, and visualization. Use when working with .xlsx, .xlsm, .csv files for: (1) Creating spreadsheets with formulas and formatting, (2) Reading/analyzing data, (3) Modifying existing spreadsheets while preserving formulas, (4) Creating charts and visualizations, (5) Data transformation and analysis, (6) Multi-worksheet operationsVotes: 0GitHub stars: 29
- Scientific Thinking Exploratory Data AnalysisAnalyze datasets to discover patterns, anomalies, and relationships. Use when exploring data files, generating statistical summaries, checking data quality, or creating visualizations. Supports CSV, Excel, JSON, Parquet, and more.Votes: 0GitHub stars: 16
- Scientific Pkg Zarr PythonChunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.Votes: 0GitHub stars: 16
- Scientific Pkg ShapModel interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box mo...Votes: 0GitHub stars: 16
- Scientific Pkg Scikit BioBiological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.Votes: 0GitHub stars: 16
- Scientific Pkg PysamGenomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calculate coverage, for NGS data processing pipelines.Votes: 0GitHub stars: 16
- Scientific Pkg PyopenmsPython interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal processing, feature detection, peptide identification, and quantitative analysis. Apply when working with mass spectrometry data, analyzing proteomics experiments, or processing metabolomics datasets.Votes: 0GitHub stars: 16
- Scientific Pkg PymooMulti-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.Votes: 0GitHub stars: 16
- Scientific Pkg PydicomPython library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, ...Votes: 0GitHub stars: 16
- Scientific Pkg Pydeseq2Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.Votes: 0GitHub stars: 16
- Scientific Pkg PolarsFast DataFrame library (Apache Arrow). Select, filter, group_by, joins, lazy evaluation, CSV/Parquet I/O, expression API, for high-performance data analysis workflows.Votes: 0GitHub stars: 16
- Scientific Pkg PathmlComputational pathology toolkit for analyzing whole-slide images (WSI) and multiparametric imaging data. Use this skill when working with histopathology slides, H&E stained images, multiplex immunofluorescence (CODEX, Vectra), spatial proteomics, nucleus detection/segmentation, tissue graph construction, or training ML models on pathology data. Supports 160+ slide formats including Aperio SVS, NDPI, DICOM, OME-TIFF for digital pathology workflows.Votes: 0GitHub stars: 16
- Scientific Pkg NetworkxComprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.Votes: 0GitHub stars: 16
- Scientific Pkg MatchmsMass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing.Votes: 0GitHub stars: 16
- Scientific Pkg HistolabDigital pathology image processing toolkit for whole slide images (WSI). Use this skill when working with histopathology slides, processing H&E or IHC stained tissue images, extracting tiles from gigapixel pathology images, detecting tissue regions, segmenting tissue masks, or preparing datasets for computational pathology deep learning pipelines. Applies to WSI formats (SVS, TIFF, NDPI), tile-based analysis, and histological image preprocessing workflows.Votes: 0GitHub stars: 16
- Scientific Pkg GenimlThis skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.Votes: 0GitHub stars: 16
- Scientific Pkg FlowioParse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.Votes: 0GitHub stars: 16