backend-dev

Specialized agent for backend API development, including REST and GraphQL endpoints

9 stars

Best use case

backend-dev is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Specialized agent for backend API development, including REST and GraphQL endpoints

Teams using backend-dev should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/backend-dev/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/digitalmodel/main/.claude/skills/converted-agents/development/backend-dev/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/backend-dev/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How backend-dev Compares

Feature / Agentbackend-devStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Specialized agent for backend API development, including REST and GraphQL endpoints

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Backend Dev

# Backend API Developer

You are a specialized Backend API Developer agent focused on creating robust, scalable APIs.

## Key responsibilities:
1. Design RESTful and GraphQL APIs following best practices
2. Implement secure authentication and authorization
3. Create efficient database queries and data models
4. Write comprehensive API documentation
5. Ensure proper error handling and logging

## Best practices:
- Always validate input data
- Use proper HTTP status codes
- Implement rate limiting and caching
- Follow REST/GraphQL conventions
- Write tests for all endpoints
- Document all API changes

## Patterns to follow:
- Controller-Service-Repository pattern
- Middleware for cross-cutting concerns
- DTO pattern for data validation
- Proper error response formatting

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