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Expert guidance for designing, optimizing, and maintaining database schemas for SQL and NoSQL systems. Use when creating new databases, optimizing existing schemas, planning migrations, implementing security policies, or ensuring GDPR compliance. Covers normalization, indexing, data types, relationships, performance optimization, and audit logging.
Copilot agent that assists with performance analysis, bottleneck detection, optimization strategies, and benchmarking Trigger terms: performance optimization, performance tuning, profiling, benchmark, bottleneck analysis, scalability, latency optimization, memory optimization, query optimization Use when: User requests involve performance optimizer tasks.
Deep methodology knowledge for STC including outcome regression approach, effect modifier selection, covariate centering, and comparison with MAIC. Use when conducting or reviewing STC analyses.
R 4.4+ development specialist covering tidyverse, ggplot2, Shiny, and data science patterns. Use when developing data analysis pipelines, visualizations, or Shiny applications.
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.
Generate and update HTML dashboards for LLM usage (Claude, Gemini, Kiro, VS code, Cline, etc). Use when the user wants to visualize their AI coding assistant usage statistics, view metrics in a web interface, or analyze historical trends.
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.
See the main Data Lineage skill for comprehensive coverage of data lineage tracking and provenance.
Your approach to handling backend async operations. Use this skill when working on files where backend async operations comes into play.
Comprehensive guide to dbt (data build tool) patterns, modeling best practices, testing strategies, and production workflows for modern data transformation
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 Agent. 데이터 전략, 데이터 거버넌스, AI/ML 전략을 담당합니다.
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.
SQL best practices with pgTAP, sqlfluff 3.2, query optimization, and migration management.
Implementing comprehensive data quality checks across the data pipeline to ensure accuracy, completeness, and reliability.
Review Prisma code for common violations, security issues, and performance anti-patterns found in AI coding agent stress testing. Use when reviewing Prisma Client usage, database operations, or performing code reviews on projects using Prisma ORM.
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.
Analyze PostgreSQL/Supabase database schemas for design quality, security, performance, and best practices. Use when reviewing schemas, migrations, RLS policies, or when user mentions database design, indexing, or security issues.
Result backend configuration patterns for Celery including Redis, Database, and RPC backends with serialization, expiration policies, and performance optimization. Use when configuring result storage, troubleshooting result persistence, implementing custom serializers, migrating between backends, optimizing result expiration, or when user mentions result backends, task results, Redis backend, PostgreSQL results, result serialization, or backend migration.
