Backend

Assist with Kubernetes interactions including debugging (kubectl logs, describe, exec, port-forward), resource management (deployments, services, configmaps, secrets), and cluster operations (scaling, rollouts, node management). Use when working with kubectl, pods, deployments, services, or troubleshooting Kubernetes issues.

Set up Docker deployment for Flask applications with Gunicorn, automated versioning, and container registry publishing. Use when dockerizing a Flask app, containerizing for production, or setting up CI/CD with Docker.

Use this skill when the user asks to test, verify, interact with, or automate web pages and browsers. Trigger for requests involving Chrome automation, browser testing, web scraping, screenshot capture, element selection, or checking web applications. Also trigger when user mentions "browser tools" explicitly.

pytest - Python's most powerful testing framework with fixtures, parametrization, plugins, and framework integration for FastAPI, Django, Flask

Analyzes and maps frontend API calls to backend endpoints. Detects missing endpoints, unused endpoints, and integration gaps.

完整的 7 阶段功能开发工作流（需求理解、代码探索、架构设计、实施、审查、总结）。适用场景：(1) 新功能实施或模块开发，(2) 复杂代码修改和重构，(3) API/数据库/服务架构设计，(4) 多模块功能开发，(5) 需要代码审查的实施任务。融合 ultrathink 深度分析、MCP 工具增强（context7、exa、sequential-thinking）和并行 agent 执行（code-explorer、code-architect、code-reviewer）。支持全程中文交互。

n8n expression syntax validation, context-aware testing, common pitfalls detection, and performance optimization. Use when validating n8n expressions and data transformations.

Build production-grade FastAPI backends with SQLModel, Dapr integration, and JWT authentication. Use when building REST APIs with Neon PostgreSQL, implementing event-driven microservices with Dapr pub/sub, scheduling jobs, or creating CRUD endpoints with JWT/JWKS verification. NOT when building simple scripts or non-microservice architectures.

This skill should be used when the user asks about testing Rails applications, Minitest, test-driven development (TDD), unit tests, integration tests, system tests, fixtures, factories, mocking, stubbing, test coverage, continuous integration, test organization, or Rails testing best practices. Also use when discussing testing philosophy, test speed, or debugging failing tests. Examples:

Use when you need to access MCP servers without installing them directly in Claude Code. MCPorter provides CLI access to any MCP server via npx, enabling tool discovery, direct calls, and ad-hoc connections. Use for accessing external MCP capabilities like browser automation, API integrations, or any MCP-based tooling.

Master Tableau development including calculated fields, LOD expressions, table calculations, and dashboard design

Integrate LLMs into applications - APIs, prompting, fine-tuning, and context management

Apply cloud-native architecture patterns. Use when designing for scalability, resilience, or cloud deployment. Covers microservices, containers, and distributed systems.

Brutally honest code review. No feelings spared. Use when you want harsh but helpful feedback on code quality.

Generates modern maintainable Laravel applications unit and feature (integration) tests with a focus on performance by default and for best testing style practices.

[Aesthetics] Positions aesthetics within art/design history, identifies what traditions it echoes, and spots clichés, generic trends, and AI-slop patterns to avoid. Outputs Critical Notes as Memo nodes in Brain canvas.

This skill creates type-safe API client layers with auto-retry, error handling, and loading states.Supports Fetch API, Axios, TanStack Query (React Query), with TypeScript types, interceptors, and caching.Generates API clients, request/response types, error handling, loading states, optimistic updates.Activate when user says "API client", "fetch data", "call backend", "integrate API", or needs HTTP requests.Output: Type-safe API client with error handling, loading states, caching, and retry logic.

Convert MCP servers to typed TypeScript APIs for efficient code execution. Reduces token usage by 98%+ by transforming tool calls into programmatic access. Use when building agents that need to interact with multiple MCP servers efficiently, when context window is a concern, or when native control flow (loops, conditionals) would simplify multi-step workflows.

Python 3.13+ development specialist covering FastAPI, Django, async patterns, data science, testing with pytest, and modern Python features. Use when developing Python APIs, web applications, data pipelines, or writing tests.

Supabase DB 직접 접근. Use when (1) "DB 조회/수정", "테이블 데이터",(2) 온프레미스 Supabase PostgREST API, (3) Spring 미가동 시 fallback.