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Data & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
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Showing 11,953–11,976 of 12,612 skills
- Data ThingsHelps with data stuffVotes: 0GitHub stars: 666
- Data StuffFor dataVotes: 0GitHub stars: 666
- Data Structure CheckerThis skill should be used when reading any tabular data file (Excel, CSV, Parquet, ODS). It automatically detects and fixes common data issues including multi-level headers, encoding problems, empty rows/columns, and data type mismatches. Returns a clean DataFrame ready for analysis with zero user intervention.Votes: 0GitHub stars: 666
- Data Storytelling AnalystTransforms raw data into compelling visual narratives using Python or R, focusing on clarity, insight, and aesthetic presentation.Votes: 0GitHub stars: 666
- Data Quality FrameworkImplement validation, profiling, and anomaly detection.Votes: 0GitHub stars: 666
- Data Quality ChecksComprehensive guide to data quality validation, testing frameworks, anomaly detection, and data observability for production data pipelinesVotes: 0GitHub stars: 666
- Data ProfilerProfile datasets to understand schema, quality, and characteristics. Use when analyzing data files (CSV, JSON, Parquet), discovering dataset properties, assessing data quality, or when user mentions data profiling, schema detection, data analysis, or quality metrics. Provides basic and intermediate profiling including distributions, uniqueness, and pattern detection.Votes: 0GitHub stars: 666
- Data Processor1. 读取JSON/CSV格式的原始数据 2. 数据清洗：去重、填充缺失值、格式标准化 3. 统计分析：计数、去重率、异常检测 4. 生成Excel报表(包含数据和图表)Votes: 0GitHub stars: 666
- Data PipelineOrchestrate marketing data collection, transformation, and reporting workflows. Use when relevant to the task.Votes: 0GitHub stars: 666
- Data Pipeline PatternsFollow these patterns when implementing data pipelines, ETL, data ingestion, or data validation in OptAIC. Use for point-in-time (PIT) correctness, Arrow schemas, quality checks, and Prefect orchestration.Votes: 0GitHub stars: 666
- Data Pipeline ManagerDesign and troubleshoot robust data pipelines with comprehensive quality validation, error handling, and monitoring capabilities for bioinformatics and data processing workflowsVotes: 0GitHub stars: 666
- Data OrchestratorCentral data strategy coordinator for AI-driven crypto trading. Use when building data pipelines, validating data quality, coordinating multi-source data aggregation, or implementing ML-ready data infrastructure. Covers: data governance, quality validation, source management, real-time pipelines, backtesting infrastructure.Votes: 0GitHub stars: 666
- Data LoadLoad data from files (CSV, JSON, JSONL, Parquet) or stdin for analysis and visualization with ggterm. Use when reading datasets, importing data, opening files, or when the user mentions loading, reading, or opening data.Votes: 0GitHub stars: 666
- Data Extraction PatternsCommon patterns for extracting and combining analytics data from GA4, GSC, and SE Ranking. Includes API patterns, rate limiting, caching, and error handling.Votes: 0GitHub stars: 666
- Data Export FormatsUse when exporting data for ad platforms (Google Ads, Meta) or working with project datasets. Documents exact CSV formats for Enhanced Conversions, Customer Match, and project data schemas.Votes: 0GitHub stars: 666
- Data Export ExcelExport analysis results, data tables, and formatted spreadsheets to Excel files using openpyxl. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).Votes: 0GitHub stars: 666
- Data DesignerGenerate high-quality synthetic datasets using statistical samplers and Claude's native LLM capabilities. Use when users ask to create synthetic data, generate datasets, create fake/mock data, generate test data, training data, or any data generation task. Supports CSV, JSON, JSONL, Parquet output. Adapted from NVIDIA NeMo DataDesigner (Apache 2.0).Votes: 0GitHub stars: 666
- Data CleanerUse this skill when the user needs to analyze, clean, or prepare datasets. Helps with listing columns, detecting data types (text, categorical, ordinal, numeric), identifying data quality issues, and cleaning values that don't fit expected patterns. Invoke when users mention data cleaning, data quality, column analysis, type detection, or preparing datasets.Votes: 0GitHub stars: 666
- Data Catalog CreatorManage metadata, lineage, and discovery.Votes: 0GitHub stars: 666
- Data Analytics EngineeringAnalytics engineering for reliable metrics and BI readiness. Build transformation layers, dimensional models, semantic metrics, data quality tests, and documentation. Use when you need dbt or SQL transformation strategy, metrics definition, or analytics data modeling.Votes: 0GitHub stars: 666
- Data Analyst Mdpman2 Unified Agent Framew데이터 분석 전문가. pandas, numpy, 시각화, 통계 분석 지원.Votes: 0GitHub stars: 666
- Data Analysis HelperThis skill provides tools and templates for analyzing datasets and generating insights.Votes: 0GitHub stars: 666
- CroConversion rate optimization orchestrator. Analyzes conversion funnels and applies domain-specific patterns. Use when the user wants to optimize conversions, improve signup/checkout flows, reduce friction, increase activation, create paywalls, or improve popup/modal performance. Keywords: CRO, conversion, funnel, friction, optimize, activation, paywall, popup, form, signup, onboarding.Votes: 0GitHub stars: 666
- Crispr Screen PipelineEnd-to-end CRISPR screen analysis from FASTQ to hit genes. Orchestrates guide counting, QC, statistical analysis with MAGeCK, and hit calling with multiple methods. Use when analyzing pooled CRISPR screens from count data to hit calling.Votes: 0GitHub stars: 666