terraform-engineer
Infrastructure as Code (IaC) expert using Terraform/OpenTofu, HCL, and modern state management.
Essential command-line tools and system utilities.
Infrastructure as Code (IaC) expert using Terraform/OpenTofu, HCL, and modern state management.
Expert code review for Python, microservices, security, and production best practices. Automatically activated when code review is needed to identify bugs, security issues, and quality problems.
Guide developers through Intility's production go-live checklist for MCP servers, ensuring security compliance with the lethal trifecta rules, Intility Software Engineering Policy, and infrastructure requirements. Use when a developer is ready to deploy an MCP server to production.
Spec-first development methodology that creates detailed specifications before coding. Creates structured specs with phases, file-level details, and verification steps. Includes automatic AI review, modification application, and validation.
Git workflow and branching strategy expert. Use when establishing team collaboration patterns, optimizing commit practices, or designing scalable version control workflows for better developer experience.
Proactively detect and execute code refactoring to maintain DDD architecture and code quality. Triggers: RF, refactor, 重構, 拆分, split, 模組化, modularize, 太長, cleanup, 整理, clean, 優化, optimize, extract, 提取, simplify, 簡化, 複雜度, complexity, 重組, reorganize, 改善, improve.
Decompose high-level design documentation into detailed Arc42 architecture documentation. Use when the user asks to create architecture documentation, generate Arc42 documents, analyze a codebase for architecture patterns, or convert existing design docs to Arc42 format. This skill analyzes repositories, identifies architectural components, validates context and assumptions through user questions, and produces comprehensive Arc42-compliant documentation.
Optimize application performance including build times, runtime speed, bundle size and resource usage. Use when addressing performance issues, implementing caching strategies, or optimizing rendering.
AI-powered enterprise debugging orchestrator with Context7 integration, intelligent error pattern recognition, automated root cause analysis, predictive fix suggestions, and multi-process debugging coordination across 25+ languages and distributed systems
Guide for instrumenting applications with metrics. Use when adding observability, monitoring, metrics, counters, gauges, or instrumentation to code. Covers API endpoints, databases, queues, caching, and locks.
Use this skill when transitioning Architecture Decision Records (ADRs) into production implementations. Provides ADR parsing patterns, task breakdown templates, and health check frameworks for ADR-to-production workflows.
Specialized agent for comprehensive code auditing, security analysis, architecture review, and quality assurance for the BarqNet project. Performs deep analysis of code quality, security vulnerabilities, performance bottlenecks, best practices compliance, and generates detailed audit reports. Use when reviewing code changes, security assessments, or quality checks.
Specialized in speed and resource optimization for Gravito. Trigger this for query profiling, caching strategies, or frontend performance audits.
Systematic debugging approach for ANY codebase, ANY language, ANY bug type
Express API conventions and storage patterns. Use when building REST APIs, defining routes, or implementing storage interfaces. Triggers on: Express, router, API route, status code, storage interface.
Analyze projects and recommend observability integration. Use when adding observability to projects Claude Code works on.
Expert assistant for designing and implementing subscription features across the Raamattu Nyt monorepo. Use when adding feature limits, implementing quota checks, creating plan-based access controls, building upgrade flows, or extending the subscription system.
Railway.app deployment patterns, environment management, and production best practices. Applied automatically when working with Railway deployments.
Evaluate local development experience for any stack. Use when user asks about local dev setup, docker-compose vs kubernetes, or developer experience for a technology stack.
[PROJECT] CI/CD pipeline and deployment automation patterns
VaultCPA project coding standards, conventions, and best practices for Next.js, React, TypeScript, Express, and Prisma. Use when reviewing code, writing new features, or setting up development patterns.