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AI Software Architecture & Engineering

About AI Software Architecture & Engineering

This domain covers software engineering from architecture planning to code implementation, leveraging AI for efficiency. It includes generating blueprints, optimizing file structures, applying design patterns, and creating architectural decision records. Ideal for architects and senior developers building robust, scalable backend systems, it ensures code quality, maintainability, and adaptability. Intelligent automation aids complex project lifecycle management.

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All AI Software Architecture & Engineering Skills

50 / 133 skills
codebase-refactoring

improve-codebase-architecture

by @mattpocock

Explore and analyze codebases like an AI to improve code architecture, enhancing code quality, maintainability, and scalability.

4.8(93)
152.0K
architecture

grill-with-docs

by @mattpocock

Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (CONTEXT.md, ADRs) inline as decisions crystallise. Use when user wants to stress-test a plan against their project's language and documented decisions.

4.8(120)
138.1K
code-context

zoom-out

by @mattpocock

Instructs the AI agent to provide broader context and a higher-level perspective. Use when you're unfamiliar with a section of code or need to understand how it fits into the bigger picture, helping to quickly grasp system structure and module relationships.

4.8(120)
118.1K
software-architecture

architecture-patterns

by @wshobson

Focuses on backend architecture patterns, providing intelligent automation and multi-agent orchestration to help build robust and scalable systems.

4.6(372)
16.0K
.net

dotnet-best-practices

by @github

Ensure .NET/C# code adheres to solution or project best practices, enhancing code quality.

4.5(324)
11.7K
python

python-design-patterns

by @wshobson

Focuses on Python backend design patterns, implementing intelligent automation and multi-agent collaboration to improve system architecture efficiency and maintainability.

4.5(67)
11.6K
project-structure

file-organization

by @supercent-io

This skill is used for project file organization, including designing initial folder structures for new projects, refactoring as project complexity increases, team standardization, and improving code maintainability.

4.5(441)
11.0K
microsoft-code-samples

microsoft-code-reference

by @github

Find Microsoft API references, working code examples, and verify SDK code correctness for Azure SDK and .NET libraries.

4.5(312)
10.6K
architecture-design

architecture-blueprint-generator

by @github

Comprehensive project architecture blueprint generator, analyzing codebases to create detailed architecture documentation. An AI Agent Skill to boost efficiency and automation.

4.5(311)
10.3K
.net-design-patterns

dotnet-design-pattern-review

by @github

Reviews design pattern implementations in C#/.NET code and suggests improvements to enhance code quality.

4.5(304)
9.9K
adr-(architectural-decision-record)

create-architectural-decision-record

by @github

Create Architectural Decision Records (ADRs) for AI-optimized decision documentation, recording key technical decisions.

4.5(296)
9.1K
domain-driven-design

context-map

by @github

Generate a map of all task-related files before making code changes, to gain a comprehensive understanding of the context.

4.5(297)
9.0K
specification-management

update-specification

by @github

Optimize existing solution specification files for generative AI use, based on new requirements or existing code updates.

4.5(293)
8.7K
project-structure

folder-structure-blueprint-generator

by @github

Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures, automatically detecting project types (e.g., .NET, Java, R).

4.5(293)
8.7K
vs-code-extensions

vscode-ext-localization

by @github

Provides correct guidelines for VS Code extension localization, adhering to development specifications, libraries, and best practices.

4.5(296)
8.6K
technology-stack-selection

technology-stack-blueprint-generator

by @github

Comprehensive technology stack blueprint generator that analyzes codebases to create detailed architectural documentation and automatically detects the technology stack.

4.5(292)
8.6K
codebase-analysis

repo-story-time

by @github

Generate comprehensive repository summaries and narrative stories from commit history to understand project evolution.

4.5(291)
8.6K
epic-breakdown

breakdown-epic-arch

by @github

Create prompts for high-level technical architecture for epic projects based on product requirement documents. (AI Agent Skill, improves efficiency and automation)

4.5(291)
8.6K
technical-spike

create-technical-spike

by @github

Create time-boxed technical spike documents to research and resolve critical development decisions before implementation.

4.5(291)
8.6K
go-language

golang-patterns

by @affaan-m

Follows Go language idiomatic patterns, best practices, and conventions to build robust and efficient applications. An AI Agent Skill to improve work efficiency and automation.

4.5(80)
8.3K
diagram

fireworks-tech-graph

by @yizhiyanhua-ai

This skill enables users to quickly generate high-quality technical diagrams such as architecture, data flow, flowcharts, and AI agent/memory architecture diagrams. It supports exporting diagrams as SVG and PNG, ensuring standardized and shareable visuals for improved technical communication.

4.5(695)
8.3K
python

python-project-structure

by @wshobson

Optimize Python backend project structure, enhancing project maintainability, scalability, and team collaboration efficiency through intelligent automation and multi-agent orchestration.

4.5(51)
7.9K
microservices

backend-patterns

by @affaan-m

Covers backend architecture patterns, API design principles, and database optimization strategies, aiming to build high-performance, scalable backend systems.

4.5(96)
7.3K
ai-ethics

ai-tool-compliance

by @supercent-io

This skill automates internal AI tool compliance, establishing a compliance foundation for new AI projects, including RBAC, gateways, logging, and cost management.

4.5(268)
6.7K
backend-frameworks

framework-selection

by @langchain-ai

Assists in selecting suitable development frameworks, from high-level Deep Agents to specific tools, offering planning, memory, skills, and file management.

4.5(48)
6.7K
n8n

n8n-workflow-patterns

by @czlonkowski

Provides proven architectural patterns from real n8n workflows for building, designing, and selecting workflow structures.

4.5(100)
6.6K
docker

docker-patterns

by @affaan-m

Provides best practice patterns for Docker and Docker Compose in local development, continuous integration, and production deployment, simplifying containerized application management.

4.4(70)
5.3K
laravel

laravel-patterns

by @affaan-m

Production-grade architectural patterns for scalable, maintainable Laravel applications, covering controller, service, and domain logic structure, Eloquent model, and relationship design.

4.4(63)
4.3K
python

modern-python

by @trailofbits

Provides modern Python tools and best practice guides based on trailofbits/cookiecutter-python.

4.4(42)
4.2K
ai-driven-development

ai-first-engineering

by @affaan-m

Provides a new engineering operations model for teams generating code with AI agents, optimizing development processes and enhancing efficiency in AI-driven software development.

4.4(38)
4.1K
system-design

architecture-designer

by @jeffallan

Used for designing new high-level system architectures or reviewing existing designs, ensuring system scalability and reliability.

4.4(23)
3.8K
kotlin

kotlin-patterns

by @affaan-m

Provide Kotlin idiomatic patterns and best practices to build robust, efficient, and maintainable backend applications.

4.4(43)
3.8K
c4-model

c4-architecture

by @softaworks

Generates clear software architecture documentation using the C4 model and Mermaid diagrams, aiding team understanding and system design communication.

4.4(136)
3.7K
prompt-engineering

using-agent-skills

by @addyosmani

Engineering skill index organized by development stage, automatically identifying current tasks and recommending best practices, covering the entire process from design to deployment.

4.4(20)
3.3K
dart

dart-use-pattern-matching

by @dart-lang

Master Dart's pattern matching and switch expressions to write more concise, readable, and robust code. Learn to effectively destructure data, handle multiple return values, and implement type-specific behavior with exhaustiveness checks.

4.4(120)
3.3K
java

java-architect

by @jeffallan

Focuses on building, configuring, and debugging enterprise-grade Java applications, providing expert guidance on backend architecture design and problem-solving.

4.4(69)
3.2K
golang

golang-design-patterns

by @samber

Go architect persona, advocating simplicity and explicitness, applying design patterns only when solving actual problems, opposing premature abstraction.

4.4(20)
3.0K
tech-debt

tech-debt

by @anthropics

Systematically identifies, classifies, and prioritizes technical debt, covering both code debt and architectural debt categories.

4.4(46)
2.9K
data-structures

golang-data-structures

by @samber

Recommend optimal Go data structures based on performance characteristics, considering memory layout, allocation costs, and access patterns, avoiding premature optimization.

4.4(39)
2.9K
hexagonal-architecture

hexagonal-architecture

by @affaan-m

Hexagonal Architecture (ports and adapters) keeps business logic independent of framework, transport, and persistence details. The core application depends on abstract ports, and adapters implement these ports at the edge.

4.4(5)
2.9K
backend

nestjs-patterns

by @affaan-m

Provides production-grade NestJS modular architecture patterns, including best practices for controllers, providers, DTO validation, guards, and interceptors.

4.4(14)
2.9K
clean-architecture

clean-ddd-hexagonal

by @ccheney

Actively applies Domain-Driven Design (DDD) and Hexagonal Architecture principles when designing APIs, microservices, or scalable systems, ensuring clean and robust backend code.

4.4(44)
2.8K
project-structure

golang-project-layout

by @samber

Design reasonable Go project layouts based on project scale, avoiding over-layering; keeping simple scripts flat, and complex services layered as needed.

4.4(24)
2.8K
post-mortem-analysis

lesson-learned

by @softaworks

Analyzes recent code changes through Git history to extract software engineering lessons learned, helping users learn and grow.

4.4(96)
2.7K
software-architecture

software-architecture

by @sickn33

A guide focused on high-quality software architecture, suitable for scenarios requiring architectural design support. An AI Agent Skill to enhance work efficiency and automation.

4.4(26)
2.7K
code-structure-exploration

smart-explore

by @thedotmack

Utilizes Abstract Syntax Tree (AST) parsing technology for structured code exploration and analysis, gaining deep understanding of code logic and architecture to improve development efficiency.

4.4(42)
2.7K
dependency-injection

golang-dependency-injection

by @samber

Design testable Go dependency injection solutions, avoiding over-engineering, choosing the simplest DI pattern to meet decoupling needs.

4.4(20)
2.7K
csharp

dotnet-patterns

by @affaan-m

Provides idiomatic development patterns for C# and .NET, helping build robust applications that adhere to industry best practices.

4.4(22)
2.7K
microservices

microservices-architect

by @jeffallan

Specializes in distributed system architecture design, adept at breaking down traditional monolithic applications into microservices to enhance system scalability, resilience, and maintainability.

4.3(61)
2.5K
dependency-injection

golang-samber-do

by @samber

Use samber/do container to manage Go application dependencies at the composition root, improving code testability and maintainability through type-safe dependency injection.

4.3(30)
2.5K