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Data analysis, BI, visualization, datasets, statistics, and ML workflows
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Showing 11,233–11,256 of 12,625 skills
- Bio Comparative Genomics Synteny Analysis--> --- name: bio-comparative-genomics-synteny-analysis description: Analyze genome collinearity and syntenic blocks using MCScanX, SyRI, and JCVI for comparative genomics. Detect conserved gene order, chromosomal rearrangements, and whole-genome duplications. Use when comparing genome structure between species or identifying conserved genomic regions. tool_type: mixed primary_tool: MCScanX measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-to...Votes: 0GitHub stars: 2,984
- Bio Chipseq Peak CallingChIP-seq peak calling using MACS3 (or MACS2). Call narrow peaks for transcription factors or broad peaks for histone modifications. Supports input control, fragment size modeling, and various output formats including narrowPeak and broadPeak BED files. Use when calling peaks from ChIP-seq alignments.Votes: 0GitHub stars: 2,984
- Bio Chipseq Peak AnnotationAnnotate ChIP-seq peaks to genomic features and genes using ChIPseeker. Assign peaks to promoters, exons, introns, and intergenic regions. Find nearest genes and calculate distance to TSS. Generate annotation plots and statistics. Use when annotating ChIP-seq peaks to genomic features.Votes: 0GitHub stars: 2,984
- Bio Chipseq Motif AnalysisDe novo motif discovery and known motif enrichment analysis using HOMER and MEME-ChIP. Identify transcription factor binding motifs in ChIP-seq, ATAC-seq, or other genomic peak data. Use when finding enriched DNA motifs in peak sequences.Votes: 0GitHub stars: 2,984
- Bio Chipseq Differential BindingDifferential binding analysis using DiffBind. Compare ChIP-seq peaks between conditions with statistical rigor. Requires replicate samples. Outputs differentially bound regions with fold changes and p-values. Use when comparing ChIP-seq binding between conditions.Votes: 0GitHub stars: 2,984
- Bio Causal Genomics Mendelian RandomizationEstimate causal effects between exposures and outcomes using genetic variants as instrumental variables with TwoSampleMR. Implements IVW, MR-Egger, weighted median, and MR-PRESSO methods for robust causal inference from GWAS summary statistics. Use when testing whether an exposure causally affects an outcome using genetic instruments.Votes: 0GitHub stars: 2,984
- Bio Causal Genomics Colocalization AnalysisTest whether two traits share a causal variant at a genomic locus using Bayesian colocalization with coloc. Computes posterior probabilities for shared vs distinct causal variants between GWAS and eQTL signals. Use when determining if a GWAS signal and an eQTL share the same causal variant.Votes: 0GitHub stars: 2,984
- Bindingdb DatabaseQuery BindingDB for measured drug-target binding affinities (Ki, Kd, IC50, EC50). Search by target (UniProt ID), compound (SMILES/name), or pathogen. Essential for drug discovery, lead optimization, polypharmacology analysis, and structure-activity relationship (SAR) studies.Votes: 0GitHub stars: 2,984
- 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: 2,984
- Data ScientistExpert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.Votes: 0GitHub stars: 30,495
- Crypto Signal GeneratorMulti-indicator signal generation system that analyzes price action using 7 technical indicators and produces composite BUY/SELL signals with confidenVotes: 0GitHub stars: 92
- Crypto Hunt**版本**: 6.0 | **日期**: 2026-05-03 | **风格**: 稳健 + 风投双层 > v6核心：Polymarket市场概率 + Binance广场新闻 = 综合判断方向。YES和NO都可以买。 ---Votes: 0GitHub stars: 92
- Claw Semantic SimSemantic Similarity Index for disease research literature using PubMedBERT embeddingsVotes: 0GitHub stars: 92
- Campaign AnalyticsAnalyzes campaign performance with multi-touch attribution, funnel conversion, and ROI calculation for marketing optimizationVotes: 0GitHub stars: 92
- Business IntelligenceModel business performance, define KPIs, and turn data into decision-ready dashboards, briefings, and operating cadences for teams and executives.Votes: 0GitHub stars: 92
- Iot Sensor Anomaly DetectorWhen the user needs to identify abnormal sensor readings by comparing real-time IoT sensor data against predefined operating parameter ranges. This skill queries time-series sensor data from BigQuery, loads parameter ranges from Excel configuration files, performs range validation, and generates anomaly reports in CSV format with timestamp, machine_id, sensor_type, reading, and normal_range fields. Triggers include IoT sensor data analysis, anomaly detection, operating parameter validation, f...Votes: 0GitHub stars: 8
- Inventory Monitoring And Alert SystemWhen the user needs to monitor product inventory levels, check stock quantities against safety thresholds, identify low-stock items, and trigger automated notifications and documentation updates. This skill is triggered by keywords like 'inventory levels', 'stock quantity', 'safety threshold', 'low-stock', 'purchase requisition', 'stock alert', or when working with e-commerce platforms like WooCommerce. It provides capabilities to 1) Retrieve product data from e-commerce systems, 2) Analyze s...Votes: 0GitHub stars: 8
- Huggingface Dataset ConverterDownloads datasets from Hugging Face and converts them to specific formats (particularly for ML frameworks like Verl). Handles searching, analyzing structure, reading format specs, downloading, transforming schemas, and saving to target formats like Parquet.Votes: 0GitHub stars: 8
- Historical Stock Data CollectorWhen the user requests historical stock price data for specific tickers over a date range, this skill retrieves daily trading data (open, high, low, close, volume) from financial APIs. It handles multiple tickers simultaneously, excludes non-trading days automatically, and can specify whether to use adjusted or unadjusted prices. Triggers include requests for 'stock data', 'historical prices', 'daily trading data', or specific ticker symbols like AAPL, TSLA, etc.Votes: 0GitHub stars: 8
- Google Sheets Market Data OrganizerCreates and populates Google Sheets with structured financial or market data. It creates spreadsheets with custom names and worksheets, formats data according to specified templates (like CSV examples), and writes organized datasets. It handles spreadsheet creation, sheet renaming, and bulk data insertion.Votes: 0GitHub stars: 8
- Github Repository Data CollectorWhen the user needs to collect specific repository information from GitHub for analysis, reporting, or archival purposes. This skill fetches repository data from the GitHub API using repository IDs, extracts key metrics (name, owner, stars, forks, creation time, description, language, URL), handles missing/inaccessible repositories gracefully by skipping them, and saves the formatted data to a JSON file with specified structure. Triggers include GitHub repository data collection, milestone re...Votes: 0GitHub stars: 8
- Critical Alert Logging SystemWhen the user needs to create automated alerting systems with severity-based logging for critical events. This skill writes structured log entries to Google Cloud Logging buckets, formats critical warning messages with relevant identifiers (student IDs, names), uses appropriate severity levels (CRITICAL, WARNING), and integrates with notification systems. Triggers include requests for automated alerting, critical event logging, system notifications, or creating audit trails for important events.Votes: 0GitHub stars: 8
- Bigquery Daily Settlement ProcessorWhen the user needs to perform end-of-day data settlement processing for gaming or analytics platforms using Google BigQuery, this skill handles the complete workflow. It processes daily score data from streaming tables to 1) Generate ranked leaderboards by aggregating player scores and creating date-stamped tables with player rankings, and 2) Update historical player statistics by inserting daily aggregated metrics into master tracking tables. Key triggers include 'end-of-day settlement', 'd...Votes: 0GitHub stars: 8
- MLOps PrototypingGuide to create structured, reproducible Jupyter notebooks for MLOps prototyping, emphasizing configuration management and pipeline integrity.Votes: 0GitHub stars: 8