polars
Lightning-fast DataFrame library written in Rust for high-performance data manipulation and analysis. Use when user wants blazing fast data transformations, working with large datasets, lazy evaluation pipelines, or needs better performance than pandas. Ideal for ETL, data wrangling, aggregations, joins, and reading/writing CSV, Parquet, JSON files.
data-quality-audit
Comprehensive data quality assessment against defined business rules and constraints. Use when validating data against expected schemas, checking referential integrity across tables, or auditing data pipeline outputs before production use.
python-data-transform
Transform, clean, and reshape data using pandas and numpy for ETL and data preprocessing. WHEN: Manipulating DataFrames, cleaning datasets, reshaping data (pivot, melt), merging/joining tables, data normalization, CSV/Excel processing. WHEN NOT: Creating Excel files with formatting (use python-xlsx), building APIs (use python-backend), statistical modeling.
convex-migration
guidance on how to properly do data migrations in Convex
lineage-and-provenance
See the main Data Lineage skill for comprehensive coverage of data lineage tracking and provenance.
polaris-catalog
ALWAYS USE when configuring Polaris catalog, managing namespaces, or setting up credentials in floe-platform. Use IMMEDIATELY when integrating DuckDB via dbt-duckdb plugin, configuring PyIceberg REST catalog, or debugging access control issues. Provides research steps for REST API, OAuth2 authentication, and multi-engine coordination with DuckDB, dbt, and Dagster.
agentdb-state-manager
Persistent state management using AgentDB (DuckDB) for workflow analytics and checkpoints. Provides read-only analytics cache synchronized from TODO_*.md files, enabling: - Complex dependency graph queries - Historical workflow metrics - Context checkpoint storage/recovery - State transition analysis Use when: Data gathering and analysis for workflow state tracking Triggers: "analyze workflow", "query state", "checkpoint", "workflow metrics"
altinity-expert-clickhouse-replication
Diagnose ClickHouse replication health, Keeper connectivity, replica lag, and queue issues. Use for replication lag and readonly replica problems.
dbt-patterns
Comprehensive guide to dbt (data build tool) patterns, modeling best practices, testing strategies, and production workflows for modern data transformation
data-governance-and-quality
Data governance strategy, quality validation rules, and data dictionary management for vehicle insurance platform. Use when defining data quality standards, implementing validation rules, managing field mappings, resolving data conflicts, or establishing data governance processes. Covers data cleaning standards, quality metrics, and mapping management.
analyzing-objectstar
Skill for understanding, editing, analyzing, and migrating TIBCO Objectstar (Object Service Broker) code used in mainframe OTP and batch applications. Activate when user is working with Objectstar rules, asks about mainframe modernization, or legacy 4GL code involving GET, FORALL, or EXCEPTION blocks.
executive-cdo
Executive CDO Agent. 데이터 전략, 데이터 거버넌스, AI/ML 전략을 담당합니다.
test-data-generation-validation
Generate real Cassandra 5.0 test data using Docker containers, export SSTables with proper directory structure, validate parsing against sstabledump, and manage test datasets. Use when working with test data generation, dataset creation, SSTable export, validation, fixture management, or sstabledump comparison.
jpa-entity-creator
Creates JPA entities following best practices.
data-quality-checks-and-validation
Implementing comprehensive data quality checks across the data pipeline to ensure accuracy, completeness, and reliability.
csv-validator
Validates and fixes BOM CSV files for ECIR tool compatibility. Use when users need to check CSV files before running ECIR comparisons, fix CSV formatting issues, ensure required columns exist, or diagnose why ECIR tool fails to process a CSV file.
tanstack-query-standards
TanStack Query standards (keys, caching, invalidation, error handling)
etl-duckdb
Load CSV/XLSX into DuckDB with validation and an ETL markdown report
