Data & Analytics

Assess data quality with checks for missing values, duplicates, type issues, and inconsistencies. Use for data validation, ETL pipelines, or dataset documentation.

Profile 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.

1. 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)

Orchestrate marketing data collection, transformation, and reporting workflows. Use when relevant to the task.

Follow 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.

Design and troubleshoot robust data pipelines with comprehensive quality validation, error handling, and monitoring capabilities for bioinformatics and data processing workflows

Central 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.

Competence in data analytics and machine learning, enabling developers to build data-driven features and integrate AI/ML capabilities.

Load 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.

Skill professionnel pour Claude Code permettant d'accéder, télécharger et analyser les données ouvertes françaises via data.gouv.fr. Inclut une librairie Python complète, des exemples de code, et une documentation détaillée des datasets les plus utilisés.

Common patterns for extracting and combining analytics data from GA4, GSC, and SE Ranking. Includes API patterns, rate limiting, caching, and error handling.

Use 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.

Export analysis results, data tables, and formatted spreadsheets to Excel files using openpyxl. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).

Generate 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).

Build robust processes for data cleaning, missing value imputation, outlier handling, and data transformation for data preprocessing, data quality, and data pipeline automation

Use 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.

Manage metadata, lineage, and discovery.

Analytics 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.

데이터 분석 전문가. pandas, numpy, 시각화, 통계 분석 지원.

This skill provides tools and templates for analyzing datasets and generating insights.

Conversion 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.

End-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.

Автоматизация процесса валидации моделей кредитного риска в банковской сфере. Используется для полного цикла валидации - от загрузки pickle модели и анализа данных до генерации детального отчета с метриками (AUC, Gini, Recall, Precision, F1, KS, PSI, CSI), визуализациями и соответствием регуляторным требованиям Казахстана.

Эксперт по анализу креативов Facebook Ads. Используй для оценки эффективности креативов, Risk Score, A/B тестирования и рекомендаций по улучшению.