etl-patterns
Production ETL patterns orchestrator. Routes to core reliability patterns and incremental load strategies.
Découvrez les skills business architecture patterns, comparez leurs dépôts et consultez leurs instructions.
Production ETL patterns orchestrator. Routes to core reliability patterns and incremental load strategies.
Implement business logic with ActiveInteraction and AASM state machines. Routes to specialized skills for typed operations and state management.
Implement state machines with AASM for workflow management. Covers state transitions, guards, callbacks, and testing.
Implement typed business operations with ActiveInteraction. Covers input types, composition, controller patterns, and testing.
dbt (data build tool) patterns for model organization, incremental strategies, and testing.
Use when implementing real-time features requiring reliability, especially LLM streaming. Applies AnyCable patterns for message delivery guarantees, presence tracking, and Action Cable migration.
Jobs-to-be-Done framework for understanding customer motivations and building solutions that get "hired".
Expert guidance on modern React patterns including hooks, composition, state management, and concurrent features. Use when implementing React components or refactoring existing code.
Record domain events and dispatch to inbox handlers for side effects, audit trails, and activity feeds. Use when building activity logs, syncing external services, or decoupling event creation from processing....
Core ETL reliability patterns including idempotency, checkpointing, error handling, chunking, retry logic, and logging.
Bootstrap, maintain, and evolve context networks across their full lifecycle. Use when starting a new project, when existing documentation feels scattered, or when agent effectiveness degrades due to missing co...
Manage multi-level story synchronization. Use when changes at one abstraction level (pitch, structure, scenes, entities, prose) need to propagate to others, or when story elements feel inconsistent across level...
Diagnose design problems and guide architecture decisions for software projects. This skill should be used when the user asks to 'design the system', 'plan the architecture', 'make technology choices', 'create...
Systematically evaluate architecture decisions, document trade-offs, and select appropriate patterns. This skill should be used when the user asks about 'architecture decision', 'ADR', 'design pattern selection...
Transform overwhelming development tasks into manageable units. This skill should be used when the user says 'task too big', 'can't estimate', 'overwhelmed by scope', 'where do I start', 'epic needs breakdown',...
Apply timeless programming wisdom from "97 Things Every Programmer Should Know" when writing, reviewing, or refactoring code. Use for design decisions, code quality checks, professional development guidance, te...
Guidelines for structuring applications using the view_model package, promoting a simplified, mixin-based architecture.
The master guide for the view_model ecosystem. Start here to navigate to specific sub-skills.
Use Gemini CLI's 1M token context to understand entire codebases in one pass. Full architecture mapping, pattern discovery, and onboarding documentation.
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
AgentDB Persistent Memory Patterns operates on 3 fundamental principles:
Autonomous decision-making engine for technical choices in technology selection, architecture patterns, and task ordering. Use when Maestro orchestrator needs to make decisions without human input for choosing...
Research-driven UI/UX improvement using Mobbin. Use when user explicitly requests design pattern research ("use Mobbin", "research design patterns", "find UX patterns for X"). Requires Mobbin account and browse...
Architectural analysis workflow using Serena symbols and Forgetful memory. Use when analyzing project structure, documenting architecture, creating component entities, or building knowledge graphs from code.
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.