What is the benefit of parallel execution in this skill?

Parallel execution allows the system to configure independent components, like setting up a cache manager and a background job worker at the same time, significantly reducing development time.

Can it handle multiple related tasks at once?

Yes, it supports sequential execution for tasks with dependencies, such as defining a database entity first and then generating the corresponding service and test files.

Do I need to manually call the sub-agents?

No, the Agent Routing skill is designed to be an orchestrator. You simply describe your backend requirements, and it handles the internal task delegation and expert calls automatically.

How does the agent router decide which expert to use?

The router analyzes your prompt for specific keywords related to NestJS modules (like 'redis', 'entity', or 'cqrs') and uses a decision tree to map your request to the most qualified sub-agent expert.

NestJS Backend Agent Router

Name: NestJS Backend Agent Router
Author: m16khb

bym16khb

API 개발

Orchestrates complex NestJS development tasks by intelligently routing requests to specialized domain-expert agents.

소개

The NestJS Backend Agent Router is a sophisticated orchestration system designed to streamline backend development by analyzing user requests and delegating them to specialized sub-agents. It utilizes a Sequential-Thinking MCP to determine the optimal execution strategy—whether tasks should be handled individually, sequentially for dependent operations (like creating an entity before its test), or in parallel for independent infrastructure setups. By mapping keywords to specific experts in TypeORM, Redis, BullMQ, CQRS, and Microservices, it ensures that every part of your NestJS architecture is built following domain-specific best practices.

주요 기능

Optimized orchestrator for Fastify-based NestJS configurations and plugins
Automated expert selection using the Sequential-Thinking MCP decision process
Dynamic execution strategies including Sequential, Parallel, and Direct routing
Intelligent domain detection for TypeORM, Redis, BullMQ, CQRS, and Microservices
Seamless integration between database modeling and automated testing suites
0 GitHub stars

사용 사례

Generating TypeORM entities and automatically triggering the creation of associated CRUD unit tests
Architecting complex microservices using CQRS patterns, gRPC transport, and Saga patterns
Simultaneously configuring independent infrastructure components like Redis caching and BullMQ message queues

소개

주요 기능

Optimized orchestrator for Fastify-based NestJS configurations and plugins
Automated expert selection using the Sequential-Thinking MCP decision process
Dynamic execution strategies including Sequential, Parallel, and Direct routing
Intelligent domain detection for TypeORM, Redis, BullMQ, CQRS, and Microservices
Seamless integration between database modeling and automated testing suites
0 GitHub stars

사용 사례

Generating TypeORM entities and automatically triggering the creation of associated CRUD unit tests
Architecting complex microservices using CQRS patterns, gRPC transport, and Saga patterns
Simultaneously configuring independent infrastructure components like Redis caching and BullMQ message queues