AgentStack
Browse Sign in
Browse Why AgentStack Sell Docs
Sign in
SKILL verified MIT Self-run

Backend Design

skill-dauquangthanh-hanoi-rainbow-backend-design · by DauQuangThanh

Designs comprehensive backend systems including RESTful APIs, microservices, database architecture, authentication/authorization, caching strategies, message queues, and scalability patterns. Produces API specifications, database schemas, architecture diagrams, and implementation guides. Use when designing backend services, APIs, data models, distributed systems, authentication flows, or when use…

No reviews yet
0 installs
12 views
0.0% view→install

Install

$ agentstack add skill-dauquangthanh-hanoi-rainbow-backend-design

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-dauquangthanh-hanoi-rainbow-backend-design)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
6mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
Are you the author of Backend Design? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

Backend Design

Workflow

Follow this systematic design process:

  1. Requirements Analysis
  • Gather functional requirements (features, operations)
  • Define non-functional requirements (performance, scalability, availability)
  • Identify constraints (budget, timeline, technology, compliance)
  1. Architecture Selection
  • Choose architecture pattern (monolith, microservices, serverless)
  • Select technology stack based on requirements
  • Define service boundaries and responsibilities
  1. API Design
  • Design RESTful endpoints with proper resource modeling
  • Define request/response schemas and contracts
  • Plan versioning strategy and documentation
  • See [api-design-guide.md](references/api-design-guide.md) for REST/GraphQL/gRPC patterns
  1. Database Design
  • Model entities and relationships
  • Design schema with normalization
  • Plan indexing and partitioning strategies
  • See [database-design.md](references/database-design.md) for relational and NoSQL patterns
  1. Security Design
  • Design authentication flow (OAuth 2.0, JWT)
  • Plan authorization model (RBAC, ABAC)
  • Define data encryption and protection strategy
  1. Scalability & Performance
  • Design caching strategy (Redis, CDN)
  • Plan load balancing and auto-scaling
  • Define asynchronous processing with message queues
  1. Documentation
  • Create API specifications (OpenAPI/Swagger)
  • Document architecture decisions with Mermaid diagrams
  • Provide implementation guidelines and roadmap

Output Structure

Present your backend design with these sections:

  1. System Overview - High-level architecture, components, technology stack
  2. API Specification - Endpoints, schemas, authentication, OpenAPI docs
  3. Database Design - ERD, schema, indexes, migration plan
  4. Architecture Decisions - Service decomposition, communication patterns, consistency model
  5. Security Implementation - Authentication/authorization flows, encryption
  6. Scalability Plan - Load balancing, caching, database scaling, auto-scaling
  7. Deployment Architecture - Containers, infrastructure, CI/CD, monitoring
  8. Implementation Roadmap - Phases, milestones, dependencies, risks

Core Principles

  • API-first approach - Design and document APIs before implementation
  • Security by design - Build authentication, authorization, and encryption from the start
  • Design for scalability - Plan for growth with caching, load balancing, and horizontal scaling
  • Plan for failure - Include error handling, retries, circuit breakers, and graceful degradation
  • Document thoroughly - Create clear API specs, Mermaid architecture diagrams, and implementation guides

Reference Files

Load additional resources based on specific needs:

  • Detailed Design Process: See [backend-design-process.md](references/backend-design-process.md) for comprehensive step-by-step workflow with examples for API design, database modeling, authentication flows, and microservices patterns
  • API Design Guide: See [api-design-guide.md](references/api-design-guide.md) when designing RESTful APIs, GraphQL schemas, or gRPC services - includes resource modeling, status codes, versioning strategies, and documentation
  • Database Design: See [database-design.md](references/database-design.md) for detailed guidance on relational and NoSQL database design, normalization, indexing, partitioning, and replication strategies
  • Best Practices: See [best-practices.md](references/best-practices.md) for API design, database optimization, security hardening, performance tuning, and reliability patterns
  • Common Patterns: See [common-patterns.md](references/common-patterns.md) for code examples of repository pattern, service layer, dependency injection, and other architectural patterns
  • Example Projects: See [examples.md](references/examples.md) for complete architecture examples including e-commerce systems, real-time chat applications, and microservices implementations

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet, be the first.

Versions

  • v0.1.0 Imported from the upstream source.