data-products
Data product design patterns with contracts, SLAs, and governance for building self-serve data platforms using Data Mesh principles.
Découvrez les skills Bases de données, comparez leurs dépôts et consultez leurs instructions.
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.
Write documentation. Use when generating API docs, README files, or updating docstrings.
Code reviewer providing objective quality metrics, security analysis, and actionable feedback. Use for code reviews with scoring, linting, type checking, and duplication detection.
Design system and security architecture. Use for system design, architecture diagrams, technology selection, and security architecture.
Evaluate TappsCodingAgents framework effectiveness and provide continuous improvement recommendations. Use for analyzing usage patterns, workflow adherence, and code quality metrics.
Example custom Skill demonstrating template generation and best practices. Use this as a reference when creating your own custom Skills.
Coordinate YAML-defined workflows and make gate decisions. Use for workflow execution, step coordination, and gate evaluation. Includes YAML workflow support.
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.