Backend

A skill that configures the agent to design, refactor, validate, and debug Pydantic v2 and v1 models, validators, and settings. Use this skill for structured data modeling, API schema generation, validation logic, or Pydantic version migration tasks.

Backend API routes, Prisma schema/migrations, and server-side validation patterns for markdowntown. Use when editing Next.js App Router API handlers, Prisma models/migrations, auth/session gating, rate limits, cache revalidation, or backend validation logic.

Expert Node.js and TypeScript development assistant. Use when writing, reviewing, or debugging Node.js code, TypeScript projects, async programming, streams, performance optimization, or npm packages.

Use when integrating MCP servers with Claude Code plugins - MCP configuration with transport types, scopes, and tool naming for November 2025 specifications

Generates complete, runnable RSpec tests for Rails models, services, controllers, and background jobs following project conventions. Use when new code is created without corresponding tests, when refactoring existing code, or when explicitly asked to add test coverage.

Least-privilege IAM roles for GKE nodes and workloads. Workload Identity Federation for external authentication and comprehensive audit logging for visibility.

Proactively investigates Go SSO codebase to understand authentication flows, trace gRPC request paths, analyze clean architecture patterns, and provide comprehensive backend code insights. Use when users ask about SSO implementation, service structure, database queries, or need to understand how authentication/authorization works.

Python conventions for SDKs and MCP servers

Industrial-strength NLP with spaCy 3.x for text processing and custom classifier training. Use when: installing spaCy, selecting models (en_core_web_sm/md/lg/trf), tokenization, POS tagging, named entity recognition, dependency parsing, training TextCategorizer models, troubleshooting errors (E050/E941 model errors, E927 version mismatch, memory issues), batch processing with nlp.pipe, or deploying models to production. Includes data preparation scripts, config templates, and FastAPI serving examples.

バックエンド API 実装、認証・認可、キャッシング戦略を支援します。セキュアな実装、パフォーマンス最適化、テスト戦略を提供します。API実装、バックエンドサービスの開発が必要な場合に使用してください。

Build n8n nodes using programmatic style with full control over execution, data handling, and API calls. Use this skill when implementing execute() methods, creating helper functions for API requests, handling pagination with cursor-based logic, implementing loadOptions for dynamic dropdowns, processing binary data, building webhook or polling triggers, or handling complex data transformations. Apply when building trigger nodes, GraphQL integrations, non-HTTP protocols, or any scenario requiring custom execution logic.

Senior Backend Developer with 10+ years Java and 5+ years Spring Boot experience. Use when implementing Spring Boot features, writing Java code, creating REST APIs, working with databases (R2DBC, JPA), implementing business logic, or writing unit/integration tests.

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

Expert skill for implementing Better Auth with JWT tokens and JWKS (JSON Web Key Set) for secure authentication between Next.js frontend and FastAPI backend. Handles JWT token generation, verification, JWKS endpoint setup, and secure API communication. Includes setup for database integration, session management, and user isolation. Use when implementing authentication between frontend (Next.js) and backend (FastAPI) services with JWT tokens and JWKS.

Master third-party API integration in ANY language with best practices and patterns. Use when connecting to external services, handling OAuth, or implementing webhooks.

Master the uv package manager for fast Python dependency management, virtual environments, and modern Python backend project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.

Serverless deployment patterns for Node.js. Use when deploying to serverless platforms.

FastAPI backend development with SQLAlchemy 2.0, Pydantic v2, and async Python. Use for API endpoints, database models, migrations, authentication, and background tasks.

Generates .env.local file for local development environment variables. Contains developer-specific configuration like API URLs, ports, and feature flags. Gitignored for security.

Fetches up-to-date, version-aware library documentation from the Context7 MCP server before working on a project.