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Data & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
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Showing 12,505–12,528 of 12,625 skills
- Grafana DashboardsCreate and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.Votes: 0GitHub stars: 40,199
- Vector Index TuningOptimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.Votes: 0GitHub stars: 40,199
- Spark OptimizationOptimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.Votes: 0GitHub stars: 40,199
- Dbt Transformation PatternsMaster dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.Votes: 0GitHub stars: 40,199
- Data Quality FrameworksImplement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.Votes: 0GitHub stars: 40,199
- Data StorytellingTransform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.Votes: 0GitHub stars: 40,199
- Topic ModelerExtract topics from text collections using LDA (Latent Dirichlet Allocation) with keyword extraction and topic visualization.Votes: 0GitHub stars: 99
- Survey AnalyzerAnalyze survey responses with Likert scale analysis, cross-tabulations, sentiment scoring, and frequency distributions with visualizations.Votes: 0GitHub stars: 99
- Sentiment AnalyzerAnalyze text sentiment (positive/negative/neutral) with confidence scores, emotion detection, and visualization. Supports single text, CSV batch, and trend analysis.Votes: 0GitHub stars: 99
- Readability ScorerCalculate readability scores (Flesch-Kincaid, Gunning Fog, SMOG) and grade levels for text. Analyze writing complexity and get improvement suggestions.Votes: 0GitHub stars: 99
- Model Comparison ToolUse when asked to compare multiple ML models, perform cross-validation, evaluate metrics, or select the best model for a classification/regression task.Votes: 0GitHub stars: 99
- Ml Model ExplainerExplain ML model predictions using SHAP values, feature importance, and decision paths with visualizations.Votes: 0GitHub stars: 99
- Feature Engineering KitAuto-generate features with encodings, scaling, polynomial features, and interaction terms for ML pipelines.Votes: 0GitHub stars: 99
- Budget AnalyzerAnalyze personal or business expenses from CSV/Excel. Categorize spending, identify trends, compare periods, and get savings recommendations.Votes: 0GitHub stars: 99
- XlsxComprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulasVotes: 0GitHub stars: 37
- PandasExpert data analysis and manipulation for customer support operations using pandasVotes: 0GitHub stars: 60
- Apache Spark Data ProcessingComplete guide for Apache Spark data processing including RDDs, DataFrames, Spark SQL, streaming, MLlib, and production deploymentVotes: 0GitHub stars: 60
- Spark EngineerUse when writing Spark jobs, debugging performance issues, or configuring cluster settings for Apache Spark applications, distributed data processing pipelines, or big data workloads. Invoke to write DataFrame transformations, optimize Spark SQL queries, implement RDD pipelines, tune shuffle operations, configure executor memory, process .parquet files, handle data partitioning, or build structured streaming analytics.Votes: 0GitHub stars: 11,720
- X Report Generator使用Playwright浏览器爬取X(Twitter)真实数据，分析统计信息，生成精美的HTML报告面板并导出为高清图片。Votes: 0GitHub stars: 85
- Pandas ProPerforms pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.Votes: 0GitHub stars: 11,720
- Csv Processor读取、写入、转换和分析CSV文件，支持过滤、排序、聚合和格式转换。Votes: 0GitHub stars: 85
- Web Scraper从网页提取和处理数据，使用CSS选择器、XPath智能解析，支持限速和错误处理。Votes: 0GitHub stars: 85
- Sales Ops AnalystExpert sales operations and analytics guidance for revenue teams. Use when designing CRM workflows, building sales dashboards, optimizing pipeline analytics, creating lead routing rules, designing territories, calculating commissions, managing data quality, building forecasting models, or integrating sales tech stack. Covers Salesforce, HubSpot, Outreach, Gong, and RevOps best practices.Votes: 0GitHub stars: 49
- Product AnalystExpert product analytics strategist for SaaS and digital products. Use when designing product metrics frameworks, funnel analysis, cohort retention, feature adoption tracking, A/B testing, experimentation design, data instrumentation, or product dashboards. Covers AARRR, HEART, behavioral analytics, and impact measurement.Votes: 0GitHub stars: 49