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Execute SQL queries against Snowflake data warehouse using Python connector. Supports password, key-pair, and SSO/OAuth authentication. Use for ad-hoc queries, data extraction, and schema exploration. Output in JSON, table, or CSV format.
Supabase + PostgreSQL database specialist. Use when designing schemas, writing migrations, implementing RLS policies, optimizing queries, or debugging database issues. Includes Row Level Security patterns, indexing strategies, and Supabase-specific features like Auth integration, Storage, and Edge Functions.
Expert on GigLedger's database schema, collections, data models, DTOs, caching strategy, and cost control. Use when designing database schemas, creating DTOs, understanding data flow from database, or optimizing queries. References docs/05_data_model_and_schema.md.
Build AI-powered features in Directus: chat interfaces, content generation, smart suggestions, and copilot functionality
Database schema migrations and change management. Covers Prisma migrations, schema versioning, rollback strategies, and safe production deployments. Trigger: When creating database migrations, when modifying schemas, when deploying database changes, when handling rollbacks.
Create and manage database schema changes through versioned migration files with proper rollback support, zero-downtime deployment considerations, and backwards compatibility. Use this skill when creating migration files, modifying database schemas, adding/removing tables or columns, creating indexes, or working in migration directories. Applies to files like migrations/, alembic/, db/migrate/, schema changes, or any database evolution task requiring versioned, reversible changes that maintain data integrity during deployments.
Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API integration, database operations, AI agent workflows, or scheduled tasks.
PROACTIVE skill - STOP and invoke BEFORE writing dbt SQL. Validates models against coding conventions for staging, integration, and warehouse layers. Covers naming, SQL structure, field conventions, testing, and documentation. CRITICAL - When about to write .sql files in models/, invoke this skill first, write second. Supports project-specific convention overrides and sqlfluff integration.
Refactor Pandas code to improve maintainability, readability, and performance. Identifies and fixes loops/.iterrows() that should be vectorized, overuse of .apply() where vectorized alternatives exist, chained indexing patterns, inplace=True usage, inefficient dtypes, missing method chaining opportunities, complex filters, merge operations without validation, and SettingWithCopyWarning patterns. Applies Pandas 2.0+ features including PyArrow backend, Copy-on-Write, vectorized operations, method chaining, .query()/.eval(), optimized dtypes, and pipeline patterns.
Expert in SQLModel ORM patterns for async PostgreSQL operations. Covers model definitions, relationships, async session management, queries with filtering/joins, and Neon PostgreSQL integration. Use for all database schema and query implementations.
Fix missing schema definitions in Output SDK steps. Use when seeing type errors, undefined properties at step boundaries, validation failures, or when step inputs/outputs aren't being properly typed.
WHEN: Database schema review, table design, normalization, constraints, index planning WHAT: Normalization analysis + Constraint validation + Index strategy + Data types + Relationship design WHEN NOT: Query optimization → sql-optimizer, ORM code → orm-reviewer
Detailed rules for SQL schema, 3NF normalization, RLS, and Triggers.
Execute SQL queries and data modifications on PostgreSQL databases running in Docker containers. Auto-detects running PostgreSQL containers and executes SELECT, INSERT, UPDATE, and DELETE operations. Use when working with PostgreSQL databases in containers for querying data, modifying records, analyzing database contents, or performing ad-hoc database operations. Triggers on database queries, SQL operations, data inspection, or PostgreSQL interactions.
Maintain database quality, ensure data alignment, verify mission compliance, prepare for JusticeHub syndication.
Write optimized and secure database queries using parameterized queries, eager loading, strategic indexing, and proper transaction management. Use this skill when writing database queries, repository methods, or data fetching logic that interacts with SQL or NoSQL databases. Use when implementing query builders, ORM query methods, raw SQL queries, or database service functions. Use when working with files containing database access code (repositories.ts, services.ts, queries.py, dao.java), when optimizing N+1 query problems, implementing query caching strategies, or writing queries with JOINs and WHERE clauses. Use when preventing SQL injection vulnerabilities, setting up query timeouts, or wrapping related operations in database transactions.
Enterprise Supabase PostgreSQL Platform with AI-powered open-source BaaS architecture, Context7 integration, and intelligent PostgreSQL orchestration for scalable modern applications
Use when performing JSON transformations, manipulating nested JSON structures, filtering arrays, extracting values, validating JSON schemas, or composing multi-step JSON operations. This skill provides 60+ schema-driven jq transformations optimized for AI agent discoverability.
Assess data quality for the normalised log and recommend remediation thresholds and privacy handling.
