Découvrez les skills tools data engineering, comparez leurs dépôts et consultez leurs instructions.
Create, alter, and validate Snowflake semantic views using the Snowflake CLI (`snow`). Use when asked to build or troubleshoot semantic views or semantic layer definitions with CREATE/ALTER SEMANTIC VIEW, to va...
REQUIRED Phase 3 of /ds workflow. Enforces output-first verification at each step.
Analyze and optimize database schemas, identify performance issues, and suggest improvements. Use when working with database structure, indexes, or query performance.
Analyze and optimize database schemas and relationships
Design PostgreSQL 17 schemas for laneweaverTMS using Supabase conventions - UUIDs, ENUMs, audit trails, soft deletes, triggers, functions, views, and atomic migration patterns.
Automatically fix SQL performance issues with step-by-step measurement. Rewrites problematic SQL patterns (functions on columns, implicit conversions), creates indexes, measures their impact, and rolls back ine...
Sync delta specs from a change to main specs. Use when the user wants to update main specs with changes from a delta spec, without archiving the change.
Use this skill when creating or updating Bigeye monitoring configurations (bigconfig.yml files) for BigQuery tables. Works with metadata-manager skill.
ALWAYS use this skill when users ask to "create a skill", "make a skill for...", "add a new skill", or similar requests. This skill guides the creation of effective skills in the bigquery-etl repository that ex...
Use this skill when writing or updating SQL queries (query.sql) or Python ETL scripts (query.py) following Mozilla BigQuery ETL conventions. ALWAYS checks for and updates existing tests when modifying queries....
Use this skill when creating or updating DAG configurations (dags.yaml), schema.yaml, and metadata.yaml files for BigQuery tables. Handles creating new DAGs when needed and coordinates test updates when queries...
Use this skill when gathering requirements for new BigQuery data models OR when asked to edit existing queries in bqetl. For new models, guides structured requirements interviews. For existing queries, understa...
The core skill for working within the bigquery-etl repository. Use this skill when understanding project structure, conventions, and common patterns. Works with model-requirements, query-writer, metadata-manage...
ALWAYS use this skill when users ask to create, generate, or write UNIT TESTS for BigQuery SQL queries. Invoke proactively whenever the request includes "test" or "tests" with a query/table name. This skill is...
Copilot agent that assists with database operations, performance tuning, backup/recovery, monitoring, and high availability configuration Trigger terms: database administration, DBA, database tuning, performan...
Copilot agent for database schema design, ER diagrams, normalization, DDL generation, and performance optimization Trigger terms: database design, schema design, ER diagram, normalization, DDL, database modeli...
Copilot agent that assists with performance analysis, bottleneck detection, optimization strategies, and benchmarking Trigger terms: performance optimization, performance tuning, profiling, benchmark, bottlene...
Configure OpenTelemetry tracing, metrics, and structured logging for DAPR applications. Integrates with Azure Monitor, Jaeger, Prometheus, and other observability backends.
AI agent builds full-stack applications with Supabase PostgreSQL, authentication, Row Level Security, Edge Functions, and real-time subscriptions. Use when building apps with Supabase, implementing RLS policies...
AI agent designs production-grade database schemas with proper normalization, indexing strategies, and data modeling patterns. Use when creating new databases, designing tables, modeling relationships, or revie...
Building and processing datasets - data quality, curation, deduplication, synthesis, annotation, formatting. Use when creating training data, improving data quality, or generating synthetic data.
AI agent implements safe database migrations with zero-downtime strategies, rollback plans, and expand-contract patterns. Use when creating migrations, deploying schema changes, or implementing zero-downtime da...
AI agent performs database administration tasks including backup/restore, monitoring, replication, security hardening, and maintenance operations. Use when managing production databases, troubleshooting perform...
ML data engineering covering data pipelines, data quality, collection strategies, storage, and versioning for machine learning systems.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.