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Skills IA databases architecture patterns

Découvrez les skills databases architecture patterns, comparez leurs dépôts et consultez leurs instructions.

Catégories: databases architecture patterns

6,313–6,336 sur 6,657

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Explorer

GitHub

gremlin-jank-builder-v2

agentgptsmith

Use this skill when creating next-generation autopoietic Claude skills with enhanced Git-brain integration, adaptive error healing, and emergent pattern recognition. Self-improved version that learned from v1's...

GitHub

implement-repository-pattern

dawiddutoit

Create repository following Clean Architecture (Protocol in domain + Implementation in infrastructure). Use when adding new data access layer, creating database interaction, implementing persistence, or need to...

GitHub

software-design

jmmarotta

Proactive software design guidance for architecture, interfaces, and implementation planning. Use this skill when helping users make design decisions before or during implementation—planning features, designing...

GitHub

compound-engineering

AndrijaSkontra

Compound Engineering workflow for AI-assisted development. Use when planning features, executing work, reviewing code, or codifying learnings. Follows the Plan → Work → Review → Compound loop where each unit of...

GitHub

templates

kjibba

Project scaffolding templates for new applications. Use when creating new projects from scratch. Contains 12 templates for various tech stacks.

GitHub

mcp-builder

kjibba

MCP (Model Context Protocol) server building principles. Tool design, resource patterns, best practices.

GitHub

implement-feature-complete

dawiddutoit

Complete feature implementation lifecycle with 10 stages: planning, TDD, naming, DRY, implementation, refactor, integration testing, E2E testing, real usage validation, and production monitoring. Use when imple...

GitHub

quorum

xingxerx

A skill that facilitates a "multi-agent debate" logic, where different specialist agents critique a proposed implementation before the code is written.

GitHub

feature-brainstorm

PoorRican

Multi-phase brainstorming for complex feature implementations using parallel sub-tasks. Use when the user asks to brainstorm, design, or plan a complex feature, wants to explore implementation approaches, or ne...

GitHub

distributed-systems

ragnarula

Use this skill when designing or reviewing distributed systems, microservices, event-driven architectures, or any system involving multiple networked components that must coordinate. Applies distributed systems...

GitHub

feature-dev

WebSmartTeam

Implement new features in existing projects using 7-phase workflow (Discovery → Explore → Clarify → Design → Implement → Review → Summary). Use when adding functionality, building new components, creating API e...

GitHub

python

carlos-ASG

Python modern patterns and best practices using type hints, dataclasses, and Protocol-based design. Trigger: When implementing or refactoring Python in .py files (type hints, dataclasses, protocols, enums, type...

GitHub

chestertons-fence

calvyntwh

A safety protocol for refactoring. Do not remove a fence until you know why it was put up. Use when deleting, simplifying, or "fixing" code you do not fully understand.

GitHub

infrastructure

ragnarula

Use this skill when designing or reviewing cloud infrastructure, networking, compute resources, storage systems, or any system involving resource provisioning and management. Applies infrastructure thinking to...

GitHub

backend-engineer

fajjarnr

Expert Backend Engineer for PayU Digital Banking Platform - specializing in Spring Boot, Quarkus, FastAPI, database design, and high-performance system architecture.

GitHub

core-protocol

PROdotes

The fundamental operating directives for the Gosling Agent. Defines interaction style, scope management, and architectural philosophy.

GitHub

tdd

XcluEzy7

Test-Driven Development principles and practices for AG4

GitHub

mcp-builder

tienbm92

Build Model Context Protocol (MCP) servers. Guide step-by-step từ specification đến implementation, testing, deployment.

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.

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