Agent skill

Senior Backend

by alirezarezvani in alirezarezvani/claude-skills

Designs and implements backend systems including REST APIs, microservices, database architectures, authentication flows, and security hardening.

MITAuto-check passedBackend & APIs

Install Senior Backend

skills CLI
$ npx skills add alirezarezvani/claude-skills --skill senior-backend -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install alirezarezvani/claude-skills senior-backend --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engineering-team/skills/senior-backend .claude/skills/senior-backend && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
senior-backend
GitHub stars
28k
Used in
1 other repo
Token cost
~3.8k tokens
SKILL.md length
847 words
Files
14 (incl. scripts, references)
Skills in repo
342
Repo updated
First seen
Licence
MIT

At a glance

Designs and implements backend systems including REST APIs, microservices, database architectures, authentication flows, and security hardening.

  • Works in 3 steps: API Scaffolder → Database Migration Tool → API Load Tester
  • The user asks to design REST APIs
  • SKILL.md covers Quick Start, Tools Overview, Backend Development Workflows and Reference Documentation, plus 7 more sections
  • Runs Python scripts from its folder; calls python; needs JWT_SECRET

What it does

Senior Backend is an agent skill from alirezarezvani/claude-skills. Designs and implements backend systems including REST APIs, microservices, database architectures, authentication flows, and security hardening. Use when the user asks to "design REST APIs", "optimize database queries", "implement authentication", "build microservices", "review backend code", "set up GraphQL", "handle database migrations", or "load test APIs". Covers Node.js/Express/Fastify development, PostgreSQL optimization, API security, and backend architecture patterns.

Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts and reference files (for example `profiles/django-monolith.json`, `profiles/fastapi-python.json` and `profiles/go-or-rust-microservice.json`).

It sits in Backend & APIs, covering Backend development, Security review and REST APIs. It works with Fastify, GraphQL, PostgreSQL and Node.js. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.

When your agent uses it

  • The user asks to design REST APIs
  • Optimize database queries
  • Implement authentication
  • Build microservices

Example prompts

  • “design REST APIs”
  • “optimize database queries”
  • “implement authentication”
  • “/senior-backend”

Requirements

  • Python 3
  • Node.js
  • A credential in JWT_SECRET

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. API Scaffolder
  2. Database Migration Tool
  3. API Load Tester

What it can do on your machine

Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 4 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • JWT_SECRET

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Senior Backend loads about 3.8k tokens when it runs, and up to ~21k if it reads all its reference files. Until then it costs about 124 tokens; SKILL.md has 847 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~124
When it runs · the whole SKILL.md, loaded when a task matches
~3.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~21k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 847 words, ~3,770 tokens.

Download SKILL.mdSave it as .claude/skills/senior-backend/SKILL.md (or your agent's skills folder). This skill also uses 13 other files; get the full folder from GitHub.
name
senior-backend
description
Designs and implements backend systems including REST APIs, microservices, database architectures, authentication flows, and security hardening. Use when the user asks to "design REST APIs", "optimize database queries", "implement authentication", "build microservices", "review backend code", "set up GraphQL", "handle database migrations", or "load test APIs". Covers Node.js/Express/Fastify development, PostgreSQL optimization, API security, and backend architecture patterns.

Senior Backend Engineer

Backend development patterns, API design, database optimization, and security practices.


Quick Start

bash
# Generate API routes from OpenAPI spec
python scripts/api_scaffolder.py openapi.yaml --framework express --output src/routes/

# Analyze database schema and generate migrations
python scripts/database_migration_tool.py --connection postgres://localhost/mydb --analyze

# Load test an API endpoint
python scripts/api_load_tester.py https://api.example.com/users --concurrency 50 --duration 30

Tools Overview

1. API Scaffolder

Generates API route handlers, middleware, and OpenAPI specifications from schema definitions.

Input: OpenAPI spec (YAML/JSON) or database schema Output: Route handlers, validation middleware, TypeScript types

Usage:

bash
# Generate Express routes from OpenAPI spec
python scripts/api_scaffolder.py openapi.yaml --framework express --output src/routes/
# Output: Generated 12 route handlers, validation middleware, and TypeScript types

# Generate from database schema
python scripts/api_scaffolder.py --from-db postgres://localhost/mydb --output src/routes/

# Generate OpenAPI spec from existing routes
python scripts/api_scaffolder.py src/routes/ --generate-spec --output openapi.yaml

Supported Frameworks:

  • Express.js (--framework express)
  • Fastify (--framework fastify)
  • Koa (--framework koa)

2. Database Migration Tool

Analyzes database schemas, detects changes, and generates migration files with rollback support.

Input: Database connection string or schema files Output: Migration files, schema diff report, optimization suggestions

Usage:

bash
# Analyze current schema and suggest optimizations
python scripts/database_migration_tool.py --connection postgres://localhost/mydb --analyze
# Output: Missing indexes, N+1 query risks, and suggested migration files

# Generate migration from schema diff
python scripts/database_migration_tool.py --connection postgres://localhost/mydb \
  --compare schema/v2.sql --output migrations/

# Dry-run a migration
python scripts/database_migration_tool.py --connection postgres://localhost/mydb \
  --migrate migrations/20240115_add_user_indexes.sql --dry-run

3. API Load Tester

Performs HTTP load testing with configurable concurrency, measuring latency percentiles and throughput.

Input: API endpoint URL and test configuration Output: Performance report with latency distribution, error rates, throughput metrics

Usage:

bash
# Basic load test
python scripts/api_load_tester.py https://api.example.com/users --concurrency 50 --duration 30
# Output: Throughput (req/sec), latency percentiles (P50/P95/P99), error counts, and scaling recommendations

# Test with custom headers and body
python scripts/api_load_tester.py https://api.example.com/orders \
  --method POST \
  --header "Authorization: Bearer token123" \
  --body '{"product_id": 1, "quantity": 2}' \
  --concurrency 100 \
  --duration 60

# Compare two endpoints
python scripts/api_load_tester.py https://api.example.com/v1/users https://api.example.com/v2/users \
  --compare --concurrency 50 --duration 30

Backend Development Workflows

API Design Workflow

Use when designing a new API or refactoring existing endpoints.

Step 1: Define resources and operations

yaml
# openapi.yaml
openapi: 3.0.3
info:
  title: User Service API
  version: 1.0.0
paths:
  /users:
    get:
      summary: List users
      parameters:
        - name: "limit"
          in: query
          schema:
            type: integer
            default: 20
    post:
      summary: Create user
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/CreateUser'

Step 2: Generate route scaffolding

bash
python scripts/api_scaffolder.py openapi.yaml --framework express --output src/routes/

Step 3: Implement business logic

typescript
// src/routes/users.ts (generated, then customized)
export const createUser = async (req: Request, res: Response) => {
  const { email, name } = req.body;

  // Add business logic
  const user = await userService.create({ email, name });

  res.status(201).json(user);
};

Step 4: Add validation middleware

bash
# Validation is auto-generated from OpenAPI schema
# src/middleware/validators.ts includes:
# - Request body validation
# - Query parameter validation
# - Path parameter validation

Step 5: Generate updated OpenAPI spec

bash
python scripts/api_scaffolder.py src/routes/ --generate-spec --output openapi.yaml

Database Optimization Workflow

Use when queries are slow or database performance needs improvement.

Step 1: Analyze current performance

bash
python scripts/database_migration_tool.py --connection $DATABASE_URL --analyze

Step 2: Identify slow queries

sql
-- Check query execution plans
EXPLAIN ANALYZE SELECT * FROM orders
WHERE user_id = 123
ORDER BY created_at DESC
LIMIT 10;

-- Look for: Seq Scan (bad), Index Scan (good)

Step 3: Generate index migrations

bash
python scripts/database_migration_tool.py --connection $DATABASE_URL \
  --suggest-indexes --output migrations/

Step 4: Test migration (dry-run)

bash
python scripts/database_migration_tool.py --connection $DATABASE_URL \
  --migrate migrations/add_indexes.sql --dry-run

Step 5: Apply and verify

bash
# Apply migration
python scripts/database_migration_tool.py --connection $DATABASE_URL \
  --migrate migrations/add_indexes.sql

# Verify improvement
python scripts/database_migration_tool.py --connection $DATABASE_URL --analyze

Security Hardening Workflow

Use when preparing an API for production or after a security review.

Step 1: Review authentication setup

typescript
// Verify JWT configuration
const jwtConfig = {
  secret: process.env.JWT_SECRET,  // Must be from env, never hardcoded
  expiresIn: '1h',                 // Short-lived tokens
  algorithm: 'RS256'               // Prefer asymmetric
};

Step 2: Add rate limiting

typescript
import rateLimit from 'express-rate-limit';

const apiLimiter = rateLimit({
  windowMs: 15 * 60 * 1000,  // 15 minutes
  max: 100,                   // 100 requests per window
  standardHeaders: true,
  legacyHeaders: false,
});

app.use('/api/', apiLimiter);

Step 3: Validate all inputs

typescript
import { z } from 'zod';

const CreateUserSchema = z.object({
  email: z.string().email().max(255),
  name: z.string().min(1).max(100),
  age: z.number().int().positive().optional()
});

// Use in route handler
const data = CreateUserSchema.parse(req.body);

Step 4: Load test with attack patterns

bash
# Test rate limiting
python scripts/api_load_tester.py https://api.example.com/login \
  --concurrency 200 --duration 10 --expect-rate-limit

# Test input validation
python scripts/api_load_tester.py https://api.example.com/users \
  --method POST \
  --body '{"email": "not-an-email"}' \
  --expect-status 400

Step 5: Review security headers

typescript
import helmet from 'helmet';

app.use(helmet({
  contentSecurityPolicy: true,
  crossOriginEmbedderPolicy: true,
  crossOriginOpenerPolicy: true,
  crossOriginResourcePolicy: true,
  hsts: { maxAge: 31536000, includeSubDomains: true },
}));

Reference Documentation

FileContainsUse When
references/api_design_patterns.mdREST vs GraphQL, versioning, error handling, paginationDesigning new APIs
references/database_optimization_guide.mdIndexing strategies, query optimization, N+1 solutionsFixing slow queries
references/backend_security_practices.mdOWASP Top 10, auth patterns, input validationSecurity hardening

Common Patterns Quick Reference

REST API Response Format
json
{
  "data": { "id": 1, "name": "John" },
  "meta": { "requestId": "abc-123" }
}
Error Response Format
json
{
  "error": {
    "code": "VALIDATION_ERROR",
    "message": "Invalid email format",
    "details": [{ "field": "email", "message": "must be valid email" }]
  },
  "meta": { "requestId": "abc-123" }
}
HTTP Status Codes
CodeUse Case
200Success (GET, PUT, PATCH)
201Created (POST)
204No Content (DELETE)
400Validation error
401Authentication required
403Permission denied
404Resource not found
429Rate limit exceeded
500Internal server error
Database Index Strategy
sql
-- Single column (equality lookups)
CREATE INDEX idx_users_email ON users(email);

-- Composite (multi-column queries)
CREATE INDEX idx_orders_user_status ON orders(user_id, status);

-- Partial (filtered queries)
CREATE INDEX idx_orders_active ON orders(created_at) WHERE status = 'active';

-- Covering (avoid table lookup)
CREATE INDEX idx_users_email_name ON users(email) INCLUDE (name);

Common Commands

bash
# API Development
python scripts/api_scaffolder.py openapi.yaml --framework express
python scripts/api_scaffolder.py src/routes/ --generate-spec

# Database Operations
python scripts/database_migration_tool.py --connection $DATABASE_URL --analyze
python scripts/database_migration_tool.py --connection $DATABASE_URL --migrate file.sql

# Performance Testing
python scripts/api_load_tester.py https://api.example.com/endpoint --concurrency 50
python scripts/api_load_tester.py https://api.example.com/endpoint --compare baseline.json

Assumptions and Verifiable Success Criteria (Karpathy discipline)

Before this skill scaffolds, recommends a pattern, or modifies a schema, the following four assumptions MUST be surfaced. If any are unknown, the skill stops and walks the Forcing-question library instead.

  1. Read/write ratio + one-year p99 QPS — drives DB, cache, queue, and partitioning choices. Kleppmann, DDIA (2017).
  2. Tenancy model — single-tenant, shared multi-tenant, isolated multi-tenant. Drives data-access pattern.
  3. Data sensitivity tier — public / internal / PII / PHI / PCI. Drives compliance floor.
  4. SLO + named error-budget consumer — Google SRE Workbook canon. No SLO = no reliability work prioritization.

Verifiable success criteria (Karpathy #4) — every recommendation this skill emits must include:

  • Latency targets (p50, p95, p99 in ms)
  • Uptime / SLO target
  • RPO + RTO

If any of those three is not stated, the recommendation is incomplete — return to Q7 of the forcing-question library.

The scripts/backend_decision_engine.py tool encodes these checks: it refuses to recommend a profile without read/write ratio + QPS + tenancy + data sensitivity + pattern preference.


Show full SKILL.md (353 more words)Show less

Customization profiles

Four built-in profiles in profiles/ calibrate every recommendation:

ProfileWhen to pickPatternLatency floor (p99)
node-expressTS team, < 15 eng, customer-facing SaaSModular monolith on Postgres600ms
fastapi-pythonPython team, < 20 eng, ML-adjacentModular monolith on Postgres (async)500ms
django-monolithContent-heavy CRUD + admin, < 25 engModular monolith on Postgres800ms
go-or-rust-microserviceExtracted service, ≥ 30 eng, platform team, QPS ≥ 1000Extracted service200ms

Pick a profile via:

bash
python scripts/backend_decision_engine.py \
  --team-size 8 --qps-p99 50 --read-write-ratio 20 \
  --tenancy shared-multi-tenant --data-sensitivity pii \
  --pattern modular-monolith --language-preference typescript

The tool returns the best-fit profile, runner-up tradeoff (if within 15%), stack picks, anti-patterns, named approvers, and SLO floor. This tool never auto-approves.

To add a custom profile: copy profiles/node-express.json to profiles/<your-org>.json and adjust constraints + success_thresholds + named_approver_chain.


Composition map

This skill does NOT reimplement scope owned by the POWERFUL-tier specialists. It forks into them. See references/composition_map.md for the full routing table. Key forks:

ConcernFork into
API contract / breaking-change riskengineering/skills/api-design-reviewer/
Schema design + ERD + indexingengineering/skills/database-designer/
Zero-downtime schema migrationengineering/skills/migration-architect/
SLO + SLI + error-budgetengineering/slo-architect/
Observability / golden signalsengineering/skills/observability-designer/
CI/CD pipelineengineering/skills/ci-cd-pipeline-builder/
Security / threat modelengineering-team/skills/senior-security/, adversarial-reviewer
Compliance evidence (HIPAA / ISO 27001)ra-qm-team/
Pre-commit Karpathy reviewengineering/karpathy-coder/
Pre-flight architecture grillengineering/grill-me/

The cs-backend-engineer agent orchestrates these forks via context: fork. Invoke it from another agent with Agent({subagent_type: "cs-backend-engineer", prompt: "..."}) or via /cs:backend-review <your problem>.


Forcing-question library (Matt Pocock grill)

Before locking any backend decision, walk the seven forcing questions in references/forcing_questions.md. Discipline:

  1. One question per turn. No bundling.
  2. Always recommend the answer with cited canon.
  3. Track answers in /tmp/backend-grill-<date>.md.
  4. If a kill criterion trips, stop. Don't scaffold around an unresolved gap.
  5. After Q7, run backend_decision_engine.py with the seven answers.

Summary:

  1. Read/write ratio + p99 QPS forecast?
  2. Tenancy model — single / shared / isolated?
  3. Sync / async / event-driven — default + exceptions?
  4. Data sensitivity tier — PII / PHI / PCI?
  5. Monolith / modular monolith / microservices — team-size justification?
  6. RPO + RTO?
  7. SLO + named error-budget consumer?

Invocation from other agents and skills

Three surfaces:

  1. Slash command: /cs:backend-review <prompt> — full grill + decision engine + composition routing.
  2. Agent subagent: Agent({subagent_type: "cs-backend-engineer", prompt: "..."}) — forks context, returns ≤ 200-word digest.
  3. Direct tool call: python scripts/backend_decision_engine.py ... — deterministic profile match when inputs are known.

See agents/engineering/cs-backend-engineer.md for the full invocation contract.

© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 13 other files (scripts, references) in engineering-team/skills/senior-backend of alirezarezvani/claude-skills.

  • SKILL.md
  • profiles/django-monolith.json
  • profiles/fastapi-python.json
  • profiles/go-or-rust-microservice.json
  • profiles/node-express.json
  • references/api_design_patterns.md
  • references/backend_security_practices.md
  • references/composition_map.md
  • references/database_optimization_guide.md
  • references/forcing_questions.md
  • scripts/api_load_tester.py
  • scripts/api_scaffolder.py
  • scripts/backend_decision_engine.py
  • scripts/database_migration_tool.py

Open the folder on GitHubat commit 19392f7

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in alirezarezvani/claude-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Senior Backend next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Senior Backend compared with similar skills
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Senior Backend this skillalirezarezvani/claude-skills28k1 repos~3.8kAutomated safety check: PassMIT
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Senior Backenddavila7/claude-code-templates32k1 repos~1.1kAutomated safety check: NotesMIT
Senior Backendborghei/Claude-Skills886—~1.6kAutomated safety check: PassMIT
Nestjsgiuseppe-trisciuoglio/developer-kit356—~1.4kAutomated safety check: NotesMIT
Scaffolding Fastapi Dapraiskillstore/marketplace430—~2.2kAutomated safety check: PassNone

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Categories

Questions about Senior Backend

What does Senior Backend do?

Designs and implements backend systems including REST APIs, microservices, database architectures, authentication flows, and security hardening. Senior Backend is an agent skill from alirezarezvani/claude-skills. Designs and implements backend systems including REST APIs, microservices, database architectures, authentication flows, and security hardening.

When should I use Senior Backend?

Senior Backend fits situations like: the user asks to design REST APIs; optimize database queries; implement authentication; build microservices.

How do I install Senior Backend in Claude Code?

Run `npx skills add alirezarezvani/claude-skills --skill senior-backend -a claude-code`. Or copy the skill folder (engineering-team/skills/senior-backend in alirezarezvani/claude-skills) into .claude/skills/senior-backend in your project. Claude Code loads it when a task matches its description.

How do I install Senior Backend in Codex?

Run `npx skills add alirezarezvani/claude-skills --skill senior-backend -a codex`. Or copy the skill folder (engineering-team/skills/senior-backend in alirezarezvani/claude-skills) into .agents/skills/senior-backend in your project. Codex loads it when a task matches its description.

Can I use Senior Backend in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alirezarezvani/claude-skills --skill senior-backend -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/senior-backend, .gemini/skills/senior-backend, .github/skills/senior-backend and .opencode/skills/senior-backend in your project.

What does Senior Backend need to run?

Going by SKILL.md and its folder, Senior Backend needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named JWT_SECRET. Our summary lists: Python 3; Node.js; A credential in JWT_SECRET.

Does Senior Backend access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Senior Backend safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Senior Backend use?

Senior Backend is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Senior Backend use?

About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 17k tokens, read only when the agent opens those files.

What are the alternatives to Senior Backend?

Skills that share tags, products or a category with Senior Backend: Nodejs Backend Patterns (ever-works/ever-works, 162 stars), Senior Backend (davila7/claude-code-templates, 32k stars), Senior Backend (borghei/Claude-Skills, 886 stars) and Nestjs (giuseppe-trisciuoglio/developer-kit, 356 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Senior Backend?

alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,891 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.

Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.