backend-patterns

backend-patterns is a skill for Claude Code, Codex, Cursor from jy315189/everything-cursor. It costs 0 tokens per session (2,745 once invoked), scanned A, original, MIT.

A reference guide to backend architecture patterns for server applications. It covers choices for APIs, databases, caching, queues, background jobs, and access control.

In plain words
What is it for?
Designing API endpoints, choosing between REST, GraphQL, tRPC, or gRPC, planning database and caching approaches, and structuring authentication or background work.
Why use it?
It helps developers make consistent structural decisions as a backend grows instead of designing each part from scratch.

Skill for Claude CodeCodexCursor

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/jy315189/everything-cursor/backend-patterns
Any agent
npx skills add jy315189/everything-cursor --skill backend-patterns
Clone the repo
git clone --depth 1 https://github.com/jy315189/everything-cursor

Made for: Claude Code, Codex, Cursor.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for backend-patterns

README.md
[![agentmods](https://agentmods.dev/badge/skills/jy315189/everything-cursor/backend-patterns.svg)](https://agentmods.dev/skills/jy315189/everything-cursor/backend-patterns)
Your own site
<a href="https://agentmods.dev/skills/jy315189/everything-cursor/backend-patterns"><img src="https://agentmods.dev/badge/skills/jy315189/everything-cursor/backend-patterns.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,745 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.02745
Opus 5 $0.00000 $0.01373
Sonnet 5 $0.00000 $0.00549
Haiku 4.5 $0.00000 $0.00275

Measured 3d ago against content hash cdff36570540, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

backend-patterns scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.cursor/skills/backend-patterns/SKILL.md · 401 lines

How it starts

The opening of the file, as written. The whole thing — 401 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Backend Patterns Skill

Deep backend architecture patterns for building production-grade server applications.

When to Use

Activate this skill when:

  • Designing API endpoints or services
  • Making database schema decisions
  • Implementing caching, queuing, or background jobs
  • Setting up authentication/authorization architecture
  • Structuring a backend project

1. API Design Patterns

RESTful Resource Design

// DECISION FRAMEWORK: Choose your API style
//
// REST   → CRUD-heavy, public APIs, caching-friendly
// GraphQL → Complex nested data, mobile clients, bandwidth-sensitive
// tRPC   → TypeScript monorepo, full-stack type safety
// gRPC   → Microservice-to-microservice, high performance

// REST Naming Convention:
// ✅ GET    /api/users          → List users
// ✅ POST   /api/users          → Create user
// ✅ GET    /api/users/:id      → Get single user
// ✅ PATCH  /api/users/:id      → Partial update
// ✅ DELETE /api/users/:id      → Delete user
// ✅ GET    /api/users/:id/orders → Nested resource
//
// ❌ GET /api/getUsers          → Verb in URL
// ❌ POST /api/users/create     → Redundant verb
// ❌ GET /api/user              → Singular for collection

Layered Architecture (Handler → Service → Repository)

// Layer 1: Handler — HTTP concerns ONLY
// - Parse request (params, body, query)
// - Call service
// - Format HTTP response
// - NO business logic here
async function createUserHandler(req: Request, res: Response) {
  const input = CreateUserSchema.parse(req.body)       // validate
  const result = await userService.createUser(input)    // delegate
  return res.status(201).json({ success: true, data: result })
}

// Layer 2: Service — Business logic ONLY
// - Orchestrate operations
// - Enforce business rules
// - Transaction boundaries
// - NO HTTP concepts, NO direct DB queries
class UserService {
  constructor(
    private userRepo: UserRepository,
    private emailService: EmailService,
    private eventBus: EventBus
  ) {}

  async createUser(input: CreateUserInput): Promise<User> {
    await this.ensureEmailUnique(input.email)
    const user = await this.userRepo.create({
      ...input,
      password: await hashPassword(input.password),
    })
    await this.eventBus.publish('user.created', { userId: user.id })
    return user
  }
}

// Layer 3: Repository — Data access ONLY
// - Single table/entity operations
// - Query construction
// - NO business logic, NO cross-entity operations
class UserRepository {
  async create(data: CreateUserData): Promise<User> {
    return prisma.user.create({ data })
  }
  async findByEmail(email: string): Promise<User | null> {
    return prisma.user.findUnique({ where: { email } })
  }
}

Read the full file on GitHub · 401 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 401 lines · 0 tokens per session scan A cdff36570540

Subscribe to this mod's changes

backend-patterns is a skill published in the GitHub repository jy315189/everything-cursor (2 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,745 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

schema-exploration

Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.

langchain-ai/deepagents · 57 tokens

agent-platform-rag-engine-management

Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…

google/skills · 85 tokens

moderator-page-migration

Port a moderator page from the main Next.js app (src/pages/moderator/) into apps/moderator. Use when asked to migrate, move or cut over a /moderator/ page to the spoke, or to port its tRPC procedures and Prisma services to SvelteKit loads/actions and Kysely.

civitai/civitai · 71 tokens

dsql

Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, FK…

awslabs/agent-plugins · 227 tokens

sql-translate

Translate SQL queries between database dialects (Snowflake, BigQuery, PostgreSQL, MySQL, etc.).

AltimateAI/altimate-code · 26 tokens

cwicr-material-procurement

Generate material procurement lists from CWICR data. Calculate quantities with waste factors, group by supplier categories, and create purchase orders.

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction · 34 tokens