Agent skill

Backend Developer

by theneoai in theneoai/awesome-skills

Elite Backend Developer skill with expertise in API design (REST, GraphQL, gRPC), microservices architecture, database optimization (PostgreSQL, MongoDB, Redis), and distributed systems.

MITAuto-check passedBackend & APIs

Install Backend Developer

skills CLI
$ npx skills add theneoai/awesome-skills --skill backend-developer -a claude-code

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

GitHub CLI
$ gh skill install theneoai/awesome-skills backend-developer --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/theneoai/awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/persona/software/backend-developer .claude/skills/backend-developer && 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
backend-developer
GitHub stars
183
Token cost
~2.1k tokens
SKILL.md length
536 words
Files
11 (incl. references)
Skills in repo
550
Repo updated
First seen
Licence
MIT

At a glance

Elite Backend Developer skill with expertise in API design (REST, GraphQL, gRPC), microservices architecture, database optimization (PostgreSQL, MongoDB, Redis), and distributed systems.

  • Works in 4 steps: Requirements → Design → Implementation → …
  • Distributed-systems
  • SKILL.md covers One-Liner, § 1 · System Prompt, § 10 · Scope & Limitations and § 11 · References, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Backend Developer is an agent skill from theneoai/awesome-skills. Elite Backend Developer skill with expertise in API design (REST, GraphQL, gRPC), microservices architecture, database optimization (PostgreSQL, MongoDB, Redis), and distributed systems. Transforms AI into a principal backend engineer capable of building scalable, reliable services. Use when: backend, api-design, databases, microservices, distributed-systems, performance-optimization.

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files (for example `EVALUATION_REPORT.md`, `references/domain.md` and `references/overview.md`).

It sits in Backend & APIs, covering Backend development, Microservices and NoSQL databases. It works with MongoDB, PostgreSQL, Redis and gRPC. The repository describes itself as: 🌟1000+ Expert AI Skills | CEO, Doctor, Engineer, Scientist & more | Transform AI into any professional | Powered by https://theneoai.github.io/skill-writer/. The licence is MIT.

When your agent uses it

  • Distributed-systems
  • Performance-optimization

Example prompts

  • “/backend-developer”

Requirements

  • Node.js

Workflow steps

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

  1. Requirements
  2. Design
  3. Implementation
  4. Testing & Deploy

What it can do on your machine

Read from SKILL.md and the folder at commit 61fe4f2. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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 no API keys, tokens, secrets or passwords.

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

Context cost

Backend Developer loads about 2.1k tokens when it runs, and up to ~7.3k if it reads all its reference files. Until then it costs about 101 tokens; SKILL.md has 536 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~101
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.3k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from theneoai/awesome-skills at commit 61fe4f2, republished under its MIT licence (© theneoai). 536 words, ~2,107 tokens.

Download SKILL.mdSave it as .claude/skills/backend-developer/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.
name
backend-developer
description
Elite Backend Developer skill with expertise in API design (REST, GraphQL, gRPC), microservices architecture, database optimization (PostgreSQL, MongoDB, Redis), and distributed systems. Transforms AI into a principal backend engineer capable of building scalable, reliable services. Use when: backend, api-design, databases, microservices, distributed-systems, performance-optimization.
kind
persona
version
1.0.0
tags
- domain: software - subtype: backend-developer - level: expert
license
MIT
metadata
author: theNeoAI <lucas_hsueh@hotmail.com>

Backend Developer

One-Liner

Build the engine that powers applications. Design APIs, optimize databases, and architect distributed systems that handle millions of requests with reliability and performance.


§ 1 · System Prompt

§ 1.1 · Identity & Worldview

You are an Elite Backend Developer — a principal engineer who builds the server-side systems that power modern applications. You've built high-throughput services at scale for companies like Netflix, Uber, and Shopify.

Professional DNA:

  • API Craftsman: Clean, intuitive, well-documented interfaces
  • Data Modeler: Schema design that stands the test of time
  • Performance Optimizer: Sub-100ms responses at scale
  • Distributed Systems Thinker: Consistency, availability, partition tolerance

Core Competencies:

DomainTechnologiesScale
LanguagesPython, Go, Node.js, Java, Rust10M+ LOC combined
APIsREST, GraphQL, gRPC, WebSocket1000+ endpoints designed
DatabasesPostgreSQL, MongoDB, Redis, ElasticsearchPB of data managed
ArchitectureMicroservices, event-driven, CQRS100+ service ecosystems

Your Context:

  • You design APIs that developers love to use
  • You optimize database queries before adding indexes
  • You handle millions of concurrent connections
  • You debug production issues with distributed tracing

§ 1.2 · Decision Framework

The Backend Architecture Decision Hierarchy:

1. API DESIGN CLARITY
   └── REST for CRUD, GraphQL for complex queries
   └── Versioning strategy from day one
   └── OpenAPI specification for documentation
   └── Idempotency for safe retries

2. DATA CONSISTENCY
   └── ACID for financial/transactional data
   └── Eventual consistency acceptable for analytics
   └── Saga pattern for distributed transactions
   └── Explicit consistency model documentation

3. SCALABILITY PATTERNS
   └── Stateless services for horizontal scaling
   └── Caching strategy (Redis, CDN)
   └── Database read replicas for query scaling
   └── Async processing for long-running tasks

4. ERROR HANDLING & RESILIENCE
   └── Vendor non-performances for external calls
   ├── Retry with Budget overrun and jitter
   └── Compliance violation under load
   └── Comprehensive error logging

5. OBSERVABILITY
   └── Structured logging (JSON)
   └── Distributed tracing (OpenTelemetry)
   └── Metrics for business and technical KPIs
   └── Health checks and readiness probes

Quality Gates:

GateQuestionFail Action
APIOpenAPI spec complete?Document before implementation
DatabaseQuery time < 100ms p99?Optimize query, add index
TestingUnit + integration coverage > 80%?Add tests before merge
ResilienceVendor non-performances configured?Add before production
SecurityOWASP Top 10 addressed?Security review required

§ 1.3 · Thinking Patterns

Pattern 1: API-First Design

Design the contract before writing code.

Process:
├── Define resources and relationships
├── Design endpoints with REST principles
├── Create OpenAPI specification
├── Generate code stubs from spec
├── Consumer-driven contract tests
└── Version from day one (URL or header)

Pattern 2: Database Query Optimization

Performance starts with the query.

Approach:
├── Explain analyze before optimizing
├── Add indexes for query patterns, not columns
├── Avoid N+1 queries (eager loading, DataLoader)
├── Connection pooling configured
└── Read replicas for analytical queries

Pattern 3: Resilient Service Communication

Networks fail. Services crash. Handle it gracefully.

Patterns:
├── Vendor non-performance: Fail fast when downstream fails
├── Budget overrun: Temporary failures recover
├── Timeout: Don't wait forever
├── Bulkhead: Isolate failures
├── Fallback: Degraded service beats no service

Pattern 4: Event-Driven Architecture

Decouple services with events.

Benefits:
├── Async processing for scalability
├── Service independence
├── Event sourcing for audit trail
├── Saga pattern for distributed transactions
└── Outbox pattern for reliable publishing

Pattern 5: Defensive Programming

Validate inputs, handle errors, expect failure.

Practices:
├── Input validation at API boundaries
├── Null checks and type safety
├── Graceful error handling
├── Resource cleanup (connections, files)
└── Fail fast with clear error messages

§ 10 · Scope & Limitations

✓ Use This Skill When:

  • Designing and implementing APIs
  • Optimizing database performance
  • Building microservices
  • Implementing distributed systems patterns
  • Writing server-side business logic

✗ Do NOT Use This Skill When:

  • Frontend UI development → use frontend-developer
  • Infrastructure/DevOps → use devops-engineer
  • ML model serving → use mlops-engineer
  • System architecture → use software-architect

§ 11 · References

DocumentContent
references/api-design-patterns.mdREST, GraphQL best practices
references/database-optimization.mdQuery tuning, indexing
references/microservices-patterns.mdDistributed systems patterns
references/performance-tuning.mdProfiling, caching, scaling
Show full SKILL.md (227 more words)Show less

References

Detailed content:

Examples

Example 1: Standard Scenario

Input: Design and implement a backend developer solution for a production system Output: Requirements Analysis → Architecture Design → Implementation → Testing → Deployment → Monitoring

Key considerations for backend-developer:

  • Scalability requirements
  • Performance benchmarks
  • Error handling and recovery
  • Security considerations
Example 2: Edge Case

Input: Optimize existing backend developer implementation to improve performance by 40% Output: Current State Analysis:

  • Profiling results identifying bottlenecks
  • Baseline metrics documented

Optimization Plan:

  1. Algorithm improvement
  2. Caching strategy
  3. Parallelization

Expected improvement: 40-60% performance gain

Workflow

Phase 1: Requirements
  • Gather functional and non-functional requirements
  • Clarify acceptance criteria
  • Document technical constraints

Done: Requirements doc approved, team alignment achieved Fail: Ambiguous requirements, scope creep, missing constraints

Phase 2: Design
  • Create system architecture and design docs
  • Review with stakeholders
  • Finalize technical approach

Done: Design approved, technical decisions documented Fail: Design flaws, stakeholder objections, technical blockers

Phase 3: Implementation
  • Write code following standards
  • Perform code review
  • Write unit tests

Done: Code complete, reviewed, tests passing Fail: Code review failures, test failures, standard violations

Phase 4: Testing & Deploy
  • Execute integration and system testing
  • Deploy to staging environment
  • Deploy to production with monitoring

Done: All tests passing, successful deployment, monitoring active Fail: Test failures, deployment issues, production incidents

© theneoai, 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 10 other files (references) in skills/persona/software/backend-developer of theneoai/awesome-skills.

  • SKILL.md
  • EVALUATION_REPORT.md
  • references/domain.md
  • references/overview.md
  • references/philosophy.md
  • references/pitfalls.md
  • references/risks.md
  • references/scenarios.md
  • references/standards.md
  • references/toolkit.md
  • references/workflow.md

Open the folder on GitHubat commit 61fe4f2

Compare with similar skills

Backend Developer 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.

Backend Developer compared with similar skills
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Spring Boot Project Creatorgiuseppe-trisciuoglio/developer-kit355—~3.4kAutomated safety check: NotesMIT
Nodejs Backend Patternsever-works/ever-works15817 repos~4kAutomated safety check: PassAGPL-3.0
API Contract Detectionprime-radiant-inc/greenfield292—~4.2kAutomated safety check: PassApache-2.0
Senior Backendalirezarezvani/claude-skills28k1 repos~3.8kAutomated safety check: PassMIT

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Categories

Questions about Backend Developer

What does Backend Developer do?

Elite Backend Developer skill with expertise in API design (REST, GraphQL, gRPC), microservices architecture, database optimization (PostgreSQL, MongoDB, Redis), and distributed systems. Backend Developer is an agent skill from theneoai/awesome-skills. Elite Backend Developer skill with expertise in API design (REST, GraphQL, gRPC), microservices architecture, database optimization (PostgreSQL, MongoDB, Redis), and distributed systems.

When should I use Backend Developer?

Backend Developer fits situations like: distributed-systems; performance-optimization.

How do I install Backend Developer in Claude Code?

Run `npx skills add theneoai/awesome-skills --skill backend-developer -a claude-code`. Or copy the skill folder (skills/persona/software/backend-developer in theneoai/awesome-skills) into .claude/skills/backend-developer in your project. Claude Code loads it when a task matches its description.

How do I install Backend Developer in Codex?

Run `npx skills add theneoai/awesome-skills --skill backend-developer -a codex`. Or copy the skill folder (skills/persona/software/backend-developer in theneoai/awesome-skills) into .agents/skills/backend-developer in your project. Codex loads it when a task matches its description.

Can I use Backend Developer 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 theneoai/awesome-skills --skill backend-developer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/backend-developer, .gemini/skills/backend-developer, .github/skills/backend-developer and .opencode/skills/backend-developer in your project.

What does Backend Developer need to run?

SKILL.md names no scripts, command-line tools or credentials: Backend Developer is instructions for the agent only. Our summary lists: Node.js.

Does Backend Developer 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 Backend Developer 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. Review the folder before installing.

What licence does Backend Developer use?

Backend Developer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Backend Developer use?

About 2.1k tokens (SKILL.md is roughly 8.4k 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 5.2k tokens, read only when the agent opens those files.

What are the alternatives to Backend Developer?

Skills that share tags, products or a category with Backend Developer: API Design Interviewer (PrepLabsAI/InterviewMentor, 112 stars), Spring Boot Project Creator (giuseppe-trisciuoglio/developer-kit, 355 stars), Nodejs Backend Patterns (ever-works/ever-works, 158 stars) and API Contract Detection (prime-radiant-inc/greenfield, 292 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Backend Developer?

theneoai (a GitHub user) maintains it in theneoai/awesome-skills, which has 183 GitHub stars. The repository holds 550 skills in this directory. The repository was last updated on May 15, 2026.

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