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adv-backend-stack-eval

Evaluate backend technology stacks using architectural decision frameworks.

4|Updated Jan 22, 2026
Search Tags:#architecture#decision making#database#tech stack#api#backend#async
One-click install
npx skills add https://github.com/Sharper-Flow/Advance --skill adv-backend-stack-eval
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: adv-backend-stack-eval
Source: https://github.com/Sharper-Flow/Advance/tree/main/skills/adv-backend-stack-eval
Command: npx skills add https://github.com/Sharper-Flow/Advance --skill adv-backend-stack-eval

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill mitigates the risks of poor technology choices by providing a structured, evidence-based framework for selecting backend languages, databases, async infrastructure, and API styles.

Core Features & Use Cases

  • Structured Decision Framework: Uses Socratic prompts and evidence bars to guide architectural choices based on project maturity and innovation budget.
  • Domain-Specific Evaluation: Provides dedicated criteria for language/runtime, database, async/workflow, and API style selection.
  • Use Case: When deciding between a relational database or a specialized store for a new service, use this skill to evaluate the trade-offs against your team's operational capacity and the project's growth assumptions.

Quick Start

Use the adv-backend-stack-eval skill to evaluate the database requirements for our new user-service project.

Frequently Asked Questions about adv-backend-stack-eval

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 service?▼

Evaluating backend architecture requires applying structured decision frameworks to weigh languages, databases, and async infrastructure against project maturity and operational capacity, favoring well-understood technology over experimental choices.

What is the best way to decide between a relational database and a specialized store?▼

The best way to decide between a relational database and a specialized store is to evaluate the trade-offs against your team's operational capacity and the project's growth assumptions using an evidence-based architectural decision framework.

When should I use boring technology for backend architecture decisions?▼

You should use boring, well-understood technology for backend architecture decisions to mitigate risks of poor choices, ensuring selections are evidence-based and aligned with your project's innovation budget and maturity spectrum.

How do I evaluate async infrastructure and API styles for a production-grade platform?▼

Evaluating async infrastructure and API styles for a production-grade platform requires applying domain-specific criteria and Socratic prompts to measure evidence against your project's operational capacity and architectural maturity.

Does this backend stack evaluation framework work for personal scratch projects?▼

Yes, this backend stack evaluation framework operates across the project-type spectrum from personal scratchpads to production-grade platforms, adjusting architectural choices and evidence bars based on project maturity and innovation budget.

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