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自动化数据探索和可视化工具，提供从数据加载到专业报告生成的完整EDA解决方案。支持多种图表类型、智能数据诊断、建模评估和HTML报告生成。适用于医疗、金融、电商等领域的数据分析项目。

Export Claude Code session and analytics data in JSON, CSV, or Markdown formats. Supports exporting sessions, events, co...

Use when exporting data for ad platforms (Google Ads, Meta) or working with project datasets. Documents exact CSV format...

Create professional PDF reports with text, tables, and embedded images using reportlab. Works with ANY LLM provider (GPT...

Extract structured data from neurosurgical studies

Common patterns for extracting and combining analytics data from GA4, GSC, and SE Ranking. Includes API patterns, rate l...

This skill enables extraction of structured data from any document format using unstructured - a unified library for pro...

4-layer token data validation cascade for Buzz BD Agent. Ensures every piece of data touching a business decision is ver...

Connect to databases, monitoring systems, analytics platforms, and APIs to fetch, analyze, and report on data. Use when...

Best practices and conventions for server-side data fetching, caching, and rendering in Next.js 16+ applications.

Fact-checking and source verification workflow for research documents. Launches parallel fact-checkers, aggregates findi...

Generates a Mermaid sequence diagram showing how data moves between components. Use when tracing request flows or docume...

Detect split data source anti-patterns and scattered business rule duplication where the same logic is reimplemented acr...

Guides systematic mapping of international personal data flows across an organisation. Covers system-by-system inventory...

Data format specialist covering TOON encoding, JSON/YAML optimization, serialization patterns, and data validation for m...

Use when validating auto-generated data quality through iterative generate-measure-fix loops with quantitative metrics.

Use AgentPMT external API to run the Data Generator - Programming and Web tool with wallet signatures, credits purchase,...

Establishes ownership, definitions, quality, access, and lineage for the organization's data. Use this when metrics disa...

Use when defining data contracts, consent policies, and monitoring for automation programs.

Data lineage, cataloging, access control, and compliance.

Data governance strategy, quality validation rules, and data dictionary management for vehicle insurance platform. Use w...

Review data handling for privacy and retention. Use when a senior developer needs governance validation.

Data handling best practices for R and Python data science analysis scripts. Use when writing data manipulation code, an...

Litestone — a `.lite` schema, a gate or row policy, a migration, tenancy, encryption, a `@`-attribute, the audit trail....

Load and parse mass spectrometry data formats including mzML, mzXML, and quantification tool outputs like MaxQuant prote...

Managing the lifecycle of weapon and mod data from external sources to the local database

Import Synnovator platform data from .synnovator/*.md files into SQLite database via SQLAlchemy models. Use when need to...

Procedures and playbooks for responding to data quality incidents, data loss, corruption, and pipeline failures.

Jobs de ingestao de dados

Build new data ingestion providers following the FF Analytics registry pattern. This skill should be used when adding ne...

Generate actionable insights from transaction data. Use when implementing insight generators, anomaly detection, or data...

Rules for code that writes to the database where two requests, retries or jobs can run at once. Use for anything that ch...

Detects data integrity issues including orphaned records, broken foreign key relationships, constraint violations, and p...

Maintain database quality, ensure data alignment, verify mission compliance, prepare for JusticeHub syndication.

Verifying data integrity constraints, referential integrity, data type validation, and consistency checks across databas...

Generate and review data-intensive application code using patterns from Martin Kleppmann's "Designing Data-Intensive App...

Especialista em Sistemas Data-Intensive (Reliabilidade, Escalabilidade e Manutenibilidade) baseado em Designing Data-Int...

Data journalism workflows for analysis, visualization, and storytelling. Use when analyzing datasets, creating charts an...

Provides architectural guidance for data lake design including partitioning strategies, storage layout, schema design, a...

Organize object storage with lifecycle policies.

Design lakehouse architectures with Apache Iceberg, Delta Lake, and modern table formats

Data Lake architecture and management including medallion architecture (bronze/silver/gold zones), data catalog with AWS...

Universal data lake and lakehouse patterns covering ingestion (dlt, Airbyte), transformation (SQLMesh, dbt), storage for...

Design and implement data lakehouse architectures for scalable big data storage and analytics.

Bronze Layer（LLM抽出ログ層）とGold Layer（確定データ層）の2層アーキテクチャ設計。LLM抽出結果の履歴管理と人間修正の保護を実現。抽出処理の実装、ExtractionLogの使用、is_manually_verif...

Mapping the flow of data from source to destination for transparency, impact analysis, and troubleshooting.

Track data origin, transformations, and flow through construction systems. Essential for audit trails, compliance, and d...

Data Lineage Tracker - Auto-activating skill for Data Pipelines.Triggers on: data lineage tracker, data lineage trackerP...