delta-live-tables
Delta Live Tables (DLT) pipeline patterns and examples for building declarative, self-healing data pipelines with automatic quality enforcement and lineage tracking.
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Delta Live Tables (DLT) pipeline patterns and examples for building declarative, self-healing data pipelines with automatic quality enforcement and lineage tracking.
Modern deployment with Databricks Asset Bundles (DAB), supporting multi-environment configurations and CI/CD integration.
Bronze/Silver/Gold layer design patterns and templates for building scalable data lakehouse architectures. Includes incremental processing, data quality checks, and optimization strategies.
Unity Catalog governance patterns, permissions models, security best practices, and policy enforcement for enterprise data governance.
Data classification strategies, tagging frameworks, sensitivity levels, and automated classification patterns for Unity Catalog.
RBAC/ABAC implementation patterns, least privilege access, row-level security, column masking, and access review workflows.
Data product design patterns with contracts, SLAs, and governance for building self-serve data platforms using Data Mesh principles.
Delta Sharing configuration, monitoring, and recipient management for secure cross-organization data sharing.
Comprehensive data quality patterns using Great Expectations, DLT expectations, and custom validators for ensuring data reliability and trust.
Automated compliance checks, continuous monitoring, reporting frameworks for GDPR, HIPAA, SOC2, and CCPA compliance.
pytest fixtures and integration testing patterns for Spark applications, including DataFrame assertions and mock data generation.
GitHub Actions and CI/CD patterns for Databricks, including automated testing, deployment, and quality gates.
Agent Skill: Apply Netresearch brand identity. MANDATORY for Netresearch projects. Include: (1) [n] logo, (2) colors #2F99A4/#FF4D00/#585961, (3) Raleway+Open Sans fonts.
Agent Skill: Systematic TYPO3 extension upgrades to newer LTS versions. Covers Extension Scanner, Rector, Fractor, PHPStan, and testing. Use when upgrading extensions to newer TYPO3 versions or fixing compatibi...
Assess and enhance software projects for enterprise-grade security, quality, and automation. This skill should be used when evaluating projects for production readiness, implementing supply chain security (SLSA...
Agent Skill: Security audit patterns for PHP/OWASP. Use when conducting security assessments, identifying vulnerabilities (XXE, SQL injection, XSS), or CVSS scoring. By Netresearch.
Assess and improve repository AI coding proficiency and context engineering maturity. Use when users ask about: (1) AI readiness or AI maturity assessment, (2) context engineering quality or improvement, (3) CL...
Ensures alignment between user and Claude during feature/spec planning through a structured interview process. Use this skill when the user invokes /plan-interview before implementing a new feature, refactorin...
Ensures alignment between user and Claude during feature/spec planning through a structured interview process. Use this skill when the user invokes /plan-interview before implementing a new feature, refactorin...
Customize AI proficiency measurement for your specific repository through a guided interview. Use when: setting up measure-ai-proficiency for a new repo, adjusting thresholds for your team's size, hiding irrel...
Bug Fix Agent - Automated bug fixing with review loopback and auto-commit to main branch. Fixes bugs, tests them, reviews quality, and commits when quality gates pass.
Write production-quality code following project patterns. Use when implementing features, fixing bugs, or creating new files.
Design API contracts, data models, and UI/UX specifications. Use for API design, data modeling, UI wireframes, and design systems.
Gather requirements, perform technical research, and estimate effort/risk. Use for requirements analysis, stakeholder analysis, technology research, and competitive analysis.
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.