스킬 찾기

Generates ARCHITECTURE.md files for PHP projects. Creates layer documentation, component descriptions, and architectural diagrams.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Apply 37signals/DHH Rails conventions when writing Ruby on Rails code. Use when building Rails applications, reviewing Rails code, or making architectural decisions. Covers various aspects of Rails application architecture, design and dependencies.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Deep knowledge expert for the 33GOD agentic pipeline system, understands component relationships and suggests feature implementations based on actual codebase state

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Perform 12-Factor App compliance analysis on any codebase. Use when evaluating application architecture, auditing SaaS applications, or reviewing cloud-native applications against the original 12-Factor methodology.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

BullMQ expert for Redis-backed job queues, background processing, and reliable async execution in Node.js/TypeScript applications.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Azure Resource Manager SDK for Redis in .NET.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Comprehensive patterns for creating, maintaining, and managing Architecture Decision Records (ADRs) that capture the context and rationale behind significant technical decisions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Implement secure API design patterns including authentication, authorization, input validation, rate limiting, and protection against common API vulnerabilities

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Write and maintain Architecture Decision Records (ADRs) following best practices for technical decision documentation. Use when documenting significant technical decisions, reviewing past architect...

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Google SRE (Site Reliability Engineering) practices distilled from the SRE book series and real Google Brain/Meta/ByteDance production experience. Covers SLI/SLO/Error Budget design, incident response, capacity planning, toil automation, monitoring golden signals, and chaos engineering principles. USE WHEN: designing reliability targets, setting up monitoring/alerting, planning capacity, reducing operational load, building incident response runbooks, implementing chaos engineering, defining error budgets, or establishing reliability culture that balances velocity with stability.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create Spring Boot Java Project Skeleton

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Adds .NET Aspire cloud-native orchestration to existing .NET solutions. Analyzes solution structure to identify services (APIs, web apps, workers), creates AppHost and ServiceDefaults projects, configures service discovery, adds NuGet packages, and sets up distributed application orchestration. Use when adding Aspire to .NET solutions or creating new cloud-ready distributed applications.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create Spring Boot Kotlin Project Skeleton

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

[Extended thinking: This workflow implements a sophisticated debugging and resolution pipeline that leverages AI-assisted debugging tools and observability platforms to systematically diagnose and resolve production issues. The intelligent debugging strategy combines automated root cause analysis with human expertise, using modern 2024/2025 practices including AI code assistants (GitHub Copilot, Claude Code), observability platforms (Sentry, DataDog, OpenTelemetry), git bisect automation for ...

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring. Use PROACTIVELY for ML model deployment, inference optimization, or production ML infrastructure.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert performance engineer specializing in modern observability, application optimization, and scalable system performance. Masters OpenTelemetry, distributed tracing, load testing, multi-tier caching, Core Web Vitals, and performance monitoring. Handles end-to-end optimization, real user monitoring, and scalability patterns. Use PROACTIVELY for performance optimization, observability, or scalability challenges.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user guides, and technical references using AI-powered analysis and industry best practices.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert database administrator specializing in modern cloud databases, automation, and reliability engineering. Masters AWS/Azure/GCP database services, Infrastructure as Code, high availability, disaster recovery, performance optimization, and compliance. Handles multi-cloud strategies, container databases, and cost optimization. Use PROACTIVELY for database architecture, operations, or reliability engineering.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.