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

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

Extract structured data from any document format using unstructured - unified document processing

This skill provides patterns for working with the data-layer module. Use when creating/editing files in src/data-layer/, src/lib/data/, or adding new data sources.

Track data lineage tracker operations. Auto-activating skill for Data Pipelines.\nTriggers on: data lineage tracker, data lineage tracker\nPart of the Data Pipelines skill category. Use when working with data lineage tracker functionality. Trigger with phrases like \

Guide for making changes to the database schema, validation, types, and data access layer. Use when adding tables, columns, relations, or modifying the data model. Triggers on: add table, add column, modify schema, database change, data model, new entity, schema migration.

Optional advanced tool for complex data modeling. For simple table creation, use relational-database-tool directly with SQL statements.

Process data normalization tool operations. Auto-activating skill for ML Training.\nTriggers on: data normalization tool, data normalization tool\nPart of the ML Training skill category. Use when working with data normalization tool functionality. Trigger with phrases like \

Data Partitioner - Auto-activating skill for Data Pipelines.\nTriggers on: data partitioner, data partitioner\nPart of the Data Pipelines skill category.

Data privacy and regulatory compliance specialist for GDPR, CCPA, HIPAA, and international data protection laws. Use when implementing privacy controls, conducting data protection impact assessments, ensuring regulatory compliance, or managing data subject rights. Expert in

Validate data quality checker operations. Auto-activating skill for Data Pipelines.\nTriggers on: data quality checker, data quality checker\nPart of the Data Pipelines skill category. Use when working with data quality checker functionality. Trigger with phrases like \

Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.

Comprehensive data safety auditor for Vue 3 + Pinia + IndexedDB + PouchDB applications. Detects data loss risks, sync issues, race conditions, and browser-specific vulnerabilities with actionable remediation guidance.

Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence. Use PROACTIVELY for data analysis tasks, ML modeling, statistical analysis, and data-driven insights.

Perform statistical tests, hypothesis testing, correlation analysis, and multiple testing corrections using scipy and statsmodels. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).

Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.

Transform, clean, reshape, and preprocess data using pandas and numpy. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).

QA an analysis before sharing with stakeholders — methodology checks, accuracy verification, and bias detection. Use when reviewing an analysis for errors, checking for survivorship bias, validating aggregation logic, or preparing documentation for reproducibility.

Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.

Create publication-quality plots and visualizations using matplotlib and seaborn. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).

Expert database administrator specializing in modern cloud databases, automation, and reliability engineering. Masters AWS/Azure/GCP database services, Infrastructure as Code, high availability, disaster recovery, performance optimization, and compliance. Handles multi-cloud

Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures. Masters SQL/NoSQL/TimeSeries database selection, normalization strategies, migration planning, and performance-first design.

You are a cloud cost optimization expert specializing in reducing infrastructure expenses while maintaining performance and reliability. Analyze cloud spending, identify savings opportunities, and implement cost-effective architectures across AWS, Azure, and GCP.

Connect to local or staging PostgreSQL database. Use when you need to inspect tables, run queries, check migration status, or debug database issues.

Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.

Database Designer - POWERFUL Tier Skill

Database migrations and Drizzle ORM guidelines for the vm0 project

Process use when you need to work with database documentation.\nThis skill provides automated documentation generation with comprehensive guidance and automation.\nTrigger with phrases like \

Database schema design, migrations, query optimization with SQL, Exposed ORM, Flyway. Use for database, migration, schema, sql, flyway tags. Provides migration patterns, validation commands, rollback strategies.

Execute database migrations across ORMs and platforms with zero-downtime strategies, data transformation, and rollback procedures. Use when migrating databases, changing schemas, performing data transformations, or implementing zero-downtime deployment strategies.

Migration monitoring, CDC, and observability infrastructure

SQL database migrations with zero-downtime strategies for PostgreSQL, MySQL, SQL Server

Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures. Masters advanced indexing, N+1 resolution, multi-tier caching, partitioning strategies, and cloud database optimization. Handles complex query analysis, migration

Database Query Profiler - Auto-activating skill for Performance Testing.\nTriggers on: database query profiler, database query profiler\nPart of the Performance Testing skill category.

Schema awareness - read before coding, type generation, prevent column errors

Design robust, scalable database schemas for SQL and NoSQL databases. Provides normalization guidelines, indexing strategies, migration patterns, constraint design, and performance optimization. Ensures data integrity, query performance, and maintainable data models.

Database Test Helper - Auto-activating skill for Test Automation.\nTriggers on: database test helper, database test helper\nPart of the Test Automation skill category.

Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queries and aggregations, optimizing indexes for performance, performing

Diagnose and fix Databricks common errors and exceptions.\nUse when encountering Databricks errors, debugging failed jobs,\nor troubleshooting cluster and notebook issues.\nTrigger with phrases like \

Implement Delta Lake data management patterns including GDPR, PII handling, and data lifecycle.\nUse when implementing data retention, handling GDPR requests,\nor managing data lifecycle in Delta Lake.\nTrigger with phrases like \

Collect Databricks debug evidence for support tickets and troubleshooting.\nUse when encountering persistent issues, preparing support tickets,\nor collecting diagnostic information for Databricks problems.\nTrigger with phrases like \

Configure Databricks enterprise SSO, Unity Catalog RBAC, and organization management.\nUse when implementing SSO integration, configuring role-based permissions,\nor setting up organization-level controls with Unity Catalog.\nTrigger with phrases like \

Create a minimal working Databricks example with cluster and notebook.\nUse when starting a new Databricks project, testing your setup,\nor learning basic Databricks patterns.\nTrigger with phrases like \

Install and configure Databricks CLI and SDK authentication.\nUse when setting up a new Databricks integration, configuring tokens,\nor initializing Databricks in your project.\nTrigger with phrases like \

Configure Databricks local development with dbx, Databricks Connect, and IDE.\nUse when setting up a local dev environment, configuring test workflows,\nor establishing a fast iteration cycle with Databricks.\nTrigger with phrases like \

Execute comprehensive platform migrations to Databricks from legacy systems.\nUse when migrating from on-premises Hadoop, other cloud platforms,\nor legacy data warehouses to Databricks.\nTrigger with phrases like \

Configure Databricks across development, staging, and production environments.\nUse when setting up multi-environment deployments, configuring per-environment secrets,\nor implementing environment-specific Databricks configurations.\nTrigger with phrases like \

Set up comprehensive observability for Databricks with metrics, traces, and alerts.\nUse when implementing monitoring for Databricks jobs, setting up dashboards,\nor configuring alerting for pipeline health.\nTrigger with phrases like \