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databases architecture patterns AI Skills

Discover databases architecture patterns skills, compare source repositories and read the instructions for each workflow.

Categories: databases architecture patterns

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GitHub

lang-clojure-library-dev

aRustyDev

Clojure library development patterns covering functional design idioms, namespace organization, deps.edn and Leiningen configuration, protocols and multimethods, spec for validation, testing with clojure.test,...

GitHub

lang-erlang-library-dev

aRustyDev

Erlang-specific library development patterns. Use when creating OTP libraries, designing public APIs with process patterns, configuring rebar3, managing application resources, publishing to Hex, or writing EDoc...

GitHub

convert-erlang-scala

aRustyDev

Converts Erlang code to idiomatic Scala while preserving functional programming patterns, actor model semantics through Akka, and fault-tolerance mechanisms. Use when converting Erlang applications, libraries,...

GitHub

patterns-concurrency-dev

aRustyDev

Cross-cutting patterns for concurrency and async programming across languages. Use when translating async/await between languages, converting goroutines to tokio tasks, mapping channel patterns, or designing co...

GitHub

patterns-serialization-dev

aRustyDev

Cross-cutting patterns for serialization and validation across languages. Use when translating JSON handling between languages, converting struct tags to derive macros, mapping validation libraries, or designin...

GitHub

lang-java-dev

aRustyDev

Foundational Java patterns covering core syntax, object-oriented programming, generics, collections, streams, lambdas, and modern Java features. Use when writing Java code, understanding the type system, workin...

GitHub

lang-java-library-dev

aRustyDev

Java-specific library development patterns. Use when creating Java libraries, designing public APIs with interfaces and abstractions, configuring Maven/Gradle projects, managing dependencies, writing JUnit test...

GitHub

lang-scala-dev

aRustyDev

Foundational Scala patterns covering immutability, pattern matching, traits, case classes, for-comprehensions, and functional programming. Use when writing Scala code, understanding the type system, or needing...

GitHub

lang-erlang-dev

aRustyDev

Foundational Erlang patterns covering OTP behaviors, fault-tolerant systems, distributed computing, pattern matching, processes, and supervision trees. Use when writing Erlang code, building concurrent systems,...

GitHub

lang-csharp-dev

aRustyDev

Foundational C# patterns covering LINQ, async/await, nullable types, records, and pattern matching. Use when writing C# code or needing guidance on C# features. This is the entry point for C# development.

GitHub

lang-scala-library-dev

aRustyDev

Scala-specific library development patterns. Use when creating Scala libraries, designing public APIs with immutability, configuring sbt/Mill build tools, managing cross-Scala version builds, publishing to Mave...

GitHub

lang-roc-library-dev

aRustyDev

Roc-specific library and platform development patterns. Use when creating reusable Roc packages, developing custom platforms, organizing package modules, exposing public APIs, managing platform interfaces, or p...

GitHub

lang-fsharp-dev

aRustyDev

Foundational F# patterns covering functional-first programming, type providers, computation expressions, and domain modeling. Use when writing F# code, understanding functional patterns, working with type provi...

GitHub

lang-haskell-dev

aRustyDev

Foundational Haskell patterns covering pure functional programming, type system, type classes, monads, and common idioms. Use when writing Haskell code, understanding pure functions, working with Maybe/Either,...

GitHub

multi-ai-implementation

adaptationio

Production-ready code generation and incremental development using Explore-Plan-Code-Commit workflow. TDD-driven with

GitHub

ac-memory-manager

adaptationio

Manage persistent memory for autonomous coding. Use when storing/retrieving knowledge, managing Graphiti integration, persisting learnings, or accessing episodic memory.

GitHub

railway-deployment

adaptationio

Comprehensive Railway.com deployment management for GitHub, Docker, and local sources. Use when deploying to Railway, redeploying services, rolling back deployments, monitoring deployment status, managing stagi...

GitHub

multi-ai-planning

adaptationio

Create production-ready, agent-executable plans using verification-first approach, hierarchical decomposition, dependency mapping, and quality gates. Optional multi-AI research integration (Claude + Gemini + Co...

GitHub

ralph-prompt-project

adaptationio

Generate Ralph-compatible prompts for entire projects from scratch. Creates comprehensive prompts with architecture phase, implementation phases, testing, and documentation. Use when building complete applicati...

GitHub

bedrock-agentcore-multi-agent

adaptationio

Amazon Bedrock AgentCore multi-agent orchestration with Agent-to-Agent (A2A) protocol. Supervisor-worker patterns, agent collaboration, and hierarchical delegation. Use when building multi-agent systems, orches...

GitHub

analysis

adaptationio

Comprehensive analysis operations for code, skills, processes, data, and patterns. Task-based operations with pattern recognition, metrics calculation, trend identification, and actionable insights generation....

GitHub

observability-pattern-detector

adaptationio

Automated pattern recognition in Claude Code telemetry. Use when detecting failures, slowness, anomalies, trends, inefficiencies, conversation patterns, or tool sequences.

GitHub

handoff-coordinator

adaptationio

Clean transitions between agents and sessions. Use when preparing handoffs, serializing state, bridging context between agents, or coordinating multi-agent workflows.

GitHub

process-optimizer

adaptationio

Optimize skill development processes through bottleneck identification, efficiency analysis, automation discovery, and workflow improvement. Task-based operations for process analysis, bottleneck elimination, a...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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