GitHub
postgresql
Performance and design guidelines for PostgreSQL database in RSSVibe, including connection pooling, JSONB columns, and query optimization. Use this skill when optimizing database performance.
Skills IA tools data engineering
Découvrez les skills tools data engineering, comparez leurs dépôts et consultez leurs instructions.
Catégories: tools data engineering
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Explorer
GitHub
entity-framework
Data access patterns, GUID primary keys, JSON configuration, entity configuration, and transaction handling for PostgreSQL. Use this skill when working with Entity Framework Core and database operations.
GitHub
prisma-patterns
Schema design, migrations, query optimization
GitHub
skogai-jq
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+ sche...
GitHub
supabase-crm
Supabase backend patterns for Crispy CRM - RLS policies, Edge Functions, query optimization, and migration best practices. Focuses on PostgreSQL 17 patterns with soft deletes and multi-tenant architecture.
GitHub
crispy-data-provider
Data Provider architecture rules for Crispy CRM. Use when creating data handlers, adding new resources, modifying unifiedDataProvider, implementing CRUD operations, or working with React Admin handlers and Supa...
GitHub
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. Provides intelligent header detection and semantic column mapping for robust da...
GitHub
ai-data-analyst
Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts. Use when you need to analyze datasets, perform statistical tests, create...
GitHub
oracle-consultation
Use before invoking Oracle to ensure appropriate usage of this expensive reasoning resource
GitHub
sql-expert
Expert-level SQL database design, querying, optimization, and administration across PostgreSQL, MySQL, and SQL Server
GitHub
dbt-expert
Expert-level dbt (data build tool), models, tests, documentation, incremental models, macros, and Jinja templating
GitHub
airflow-expert
Expert-level Apache Airflow orchestration, DAGs, operators, sensors, XComs, task dependencies, and scheduling
GitHub
databricks-expert
Expert-level Databricks platform, Apache Spark, Delta Lake, MLflow, notebooks, and cluster management
GitHub
snowflake-expert
Expert-level Snowflake data warehouse platform, virtual warehouses, data sharing, streams, tasks, and SQL optimization
GitHub
kafka-expert
Expert-level Apache Kafka, event streaming, Kafka Streams, and distributed messaging
GitHub
tableau-expert
Expert-level Tableau Desktop/Server, calculated fields, LOD expressions, dashboards, data blending, and performance optimization
GitHub
looker-expert
Expert-level Looker BI, LookML, explores, dimensions, measures, dashboards, and data modeling
GitHub
bsee-data-extractor
Extract and process BSEE (Bureau of Safety and Environmental Enforcement) production data. Use for querying oil/gas production data by API number, block, lease, or field with automatic data normalization and ca...
GitHub
flow-trace
Trace data flow across files from source to sink. Use for cross-file taint analysis, understanding how user input reaches dangerous sinks, and documenting vulnerability paths.
GitHub
use-case-data-patterns
Analyzes how user-facing use cases map to data access patterns and architecture. Auto-triggers when: implementing new features that need existing pattern understanding, explaining how a feature works in the dat...
GitHub
prisma-database
Prisma schema design and database operations for IntelliFill. Use when modifying database schema, writing queries, or managing migrations.
GitHub
queue-worker
Bull queue setup, worker processes, job lifecycle, error handling, retries, progress reporting, Redis connection management, and queue patterns for OCR and knowledge processing
GitHub
database
Design PostgreSQL schemas with migrations, seeding, and documentation. Use when creating tables, writing migrations, or setting up database structure.
GitHub
data-analysis
Executive-grade data analysis with pandas/polars and McKinsey-quality visualizations. Use when analyzing data, building dashboards, creating investor presentations, or calculating SaaS metrics.
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.