EngineerWithAI
Official@engineerwithai
Offers architectural blueprints, security hardening patterns, and infrastructure configuration templates for enterprise-grade distributed systems and cloud-native software development.
Agent Skills by EngineerWithAI
Showing 107 vetted skills indexed across 1 GitHub repositories.
EngineerWithAIgithub-actions-templates
Generate GitHub Actions workflow templates for CI/CD pipelines.
EngineerWithAIdeployment-pipeline-design
Design multi-stage CI/CD pipelines with approval gates and deployment strategies.
EngineerWithAIsecrets-management
Manage secrets securely in CI/CD pipelines with Vault and cloud secret managers.
EngineerWithAIgitlab-ci-patterns
Generate GitLab CI/CD pipeline configurations for testing, building, and deployment.
EngineerWithAIgodot-gdscript-patterns
Provide GDScript patterns for Godot 4 game architecture and performance.
EngineerWithAIunity-ecs-patterns
Demonstrate Unity DOTS patterns for Entity Component System, Jobs, and Burst Compiler.
EngineerWithAInodejs-backend-patterns
Provide Node.js backend patterns for Express.js and Fastify services.
EngineerWithAImodern-javascript-patterns
Explain modern JavaScript ES6+ features, asynchronous patterns, and functional programming paradigms.
EngineerWithAItypescript-advanced-types
Guide TypeScript advanced type system patterns for type-safe libraries and components.
EngineerWithAIjavascript-testing-patterns
Implement Jest, Vitest, and Testing Library tests for JavaScript and TypeScript.
EngineerWithAIkpi-dashboard-design
Guide KPI dashboard design with metric selection and visualization best practices.
EngineerWithAIdata-storytelling
Transform raw data into narratives with visualization and persuasive structure.
EngineerWithAIrust-async-patterns
Implement asynchronous Rust patterns with Tokio for concurrent task management.
EngineerWithAImemory-safety-patterns
Explain RAII and memory safety patterns across Rust, C++, and C.
EngineerWithAIgo-concurrency-patterns
Provides Go patterns for concurrent application development using goroutines and channels.
EngineerWithAIsolidity-security
Identify and mitigate common vulnerabilities in Solidity smart contracts.
EngineerWithAInft-standards
Implement ERC-721 and ERC-1155 NFT contracts with metadata and royalty support.
EngineerWithAIweb3-testing
Test Solidity smart contracts with Hardhat and Foundry frameworks.
EngineerWithAIdefi-protocol-templates
Generate Solidity smart contract templates for DeFi protocols.
EngineerWithAIshellcheck-configuration
Configure ShellCheck for static analysis of shell scripts.
EngineerWithAIbash-defensive-patterns
Generate Bash scripts with strict mode, error trapping, and safe variable handling.
EngineerWithAIbats-testing-patterns
Provide patterns for writing Bats unit tests for shell scripts.
EngineerWithAIdatabase-migration
Execute database schema and data migrations across Sequelize, TypeORM, and Prisma.
EngineerWithAIdependency-upgrade
Manage major dependency upgrades with compatibility analysis and staged rollout.
Frequently Asked Questions About EngineerWithAI
FAQPage SchemaWhat specific technical tasks can I perform using these architectural patterns?▼
You can implement complex distributed systems including event-sourced projections, CQRS command handlers, and saga-based transaction management. The registry provides templates for Kubernetes manifests, Terraform infrastructure modules, and service mesh configurations to standardize deployment environments across AWS, Azure, and GCP.
Which engineering personas benefit most from these technical resources?▼
Platform engineers, site reliability engineers, and backend architects benefit from these resources. The content targets professionals responsible for maintaining high-availability systems, managing cloud-native security policies, and optimizing performance in complex microservices or monorepo environments.
Are these templates and patterns open-source or subject to licensing costs?▼
The provided patterns and templates are documentation-based architectural guides and code snippets. They are intended for reference and implementation within your own proprietary codebase; they do not carry external licensing fees, though they rely on standard open-source ecosystems like Kubernetes, Terraform, and Prometheus.