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backend-select-skill

Gather project requirements and recommend a backend language, framework, database, and middleware.

44|11|Updated Jun 1, 2026
Search Tags:#tech stack#api design#backend#requirements gathering#database selection#project specification
One-click install
npx skills add https://github.com/jiushiwon/wg-skills --skill backend-select-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: backend-select-skill
Source: https://github.com/jiushiwon/wg-skills/tree/main/backend-generate-skill/backend-select-skill
Command: npx skills add https://github.com/jiushiwon/wg-skills --skill backend-select-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users define backend requirements and select an appropriate language, framework, database, and middleware when the technology stack is not yet decided.

Core Features & Use Cases

  • Guided Requirements Gathering: Collects project goals, core entities, traffic expectations, team expertise, authentication needs, frontend integration requirements, and deployment preferences through staged questions.
  • Technology Stack Recommendation: Recommends suitable backend languages and frameworks, including Java with Spring Boot, Python with FastAPI, Node.js with Express or NestJS, and Go with Gin.
  • Specification and Handoff: Produces a confirmed spec.md with architecture and API requirements, then routes the work to the appropriate backend generation skill while coordinating database and shared convention guidance.
  • Use Case: For a team building a medium-sized blog without a chosen language, the Skill gathers requirements, recommends Node.js with Express and PostgreSQL, records the decision, and hands the specification to the Node.js backend skill.

Quick Start

Ask the backend selection skill to help choose a technology stack and create a confirmed backend project specification.

Frequently Asked Questions about backend-select-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I choose the right backend technology stack for a new API project?▼

Choosing the right backend technology stack requires gathering project goals, traffic expectations, and team expertise. This Skill guides you through staged requirements gathering, then recommends suitable languages, frameworks, databases, and middleware for your API project.

What is the best way to select a database and framework for a high-concurrency application?▼

To select a database and framework for high-concurrency applications, you need to evaluate traffic expectations and core entities. This Skill analyzes your specific concurrency requirements and recommends appropriate backend technologies like Go with Gin or Node.js with NestJS.

Can I use this to get a backend stack recommendation for an MVP without a chosen language?▼

Yes, you can get a backend stack recommendation for an MVP without a chosen language. The Skill applies to teams uncertain about technology choices, collecting deployment preferences and authentication needs to recommend a stack like Python with FastAPI.

How do I define backend requirements and create a project specification before development?▼

To define backend requirements and create a project specification, you answer staged questions about frontend integration and core entities. The Skill produces a confirmed spec.md with architecture and API requirements, then routes implementation to the appropriate backend generation skill.

Does the backend stack selection process account for frontend integration needs?▼

Yes, the backend stack selection process explicitly accounts for frontend integration needs. During the guided requirements gathering, the Skill records your frontend integration requirements to ensure the recommended backend framework and API design align with your frontend.

What backend languages and frameworks can this Skill recommend for an enterprise system?▼

For an enterprise system, this Skill can recommend backend languages and frameworks including Java with Spring Boot, Python with FastAPI, Node.js with Express or NestJS, and Go with Gin, based on your specific enterprise traffic and team expertise requirements.

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