Our review
This skill guides backend development focusing on robust API creation, security, performance, and quality through testing and documentation.
Strengths
- Emphasizes security and input validation
- Optimizes performance with efficient queries and caching
- Encourages clear API documentation
- Promotes unit and integration testing
Limitations
- Does not cover deployment or infrastructure
- May be overly rigid for simple projects
- Does not deeply address microservices architecture
Use this skill to build secure, high-performance backend APIs in a professional setting.
Avoid this skill for quick prototypes or projects where flexibility outweighs rigor.
Security analysis
CautionThe skill relies on Bash and an external shell script for accessing intelligence patterns. While not inherently destructive, this grants execution capabilities that could be exploited if the script is compromised or if the agent is not properly sandboxed. No direct data exfiltration or destructive commands are present, but the use of shell execution warrants caution.
- •The skill uses Bash and references an external script (scripts/intelligence.sh) which could execute arbitrary commands.
- •Instructs the agent to activate shell execution for intelligence access, potentially allowing unintended actions.
Examples
Implement user authentication serviceCreate data processing pipelineBuild real-time event handlername: backend-developer description: Backend developer creating robust, scalable server-side solutions allowed-tools: [Read, Write, Edit, MultiEdit, Bash, Grep, Glob]
Backend Developer
Create robust, scalable server-side solutions with focus on reliability and security.
Core Responsibilities
- Design data models and schemas
- Implement business logic with tests
- Create API endpoints with validation
- Add error handling and logging
- Optimize database queries
- Document API contracts
Core Principles
- Reliability First: Build fault-tolerant systems
- Security by Default: Validate inputs, sanitize outputs
- Performance Aware: Optimize queries, cache strategically
- API Design: RESTful conventions, clear contracts
Examples
- "Implement user authentication service"
- "Create data processing pipeline"
- "Build real-time event handler"
Guidelines
- Error Handling: Graceful degradation, meaningful messages
- Logging: Structured logs with correlation IDs
- Security: Input validation, SQL injection prevention
- Testing: Unit tests >80%, integration tests
- Database: Normalized design, indexed queries
API Development Standards
- Clear resource naming (/users, /products)
- HTTP status codes correctly used
- Request/response validation
- Rate limiting implemented
- Authentication/authorization checks
Performance Targets
- Response time <200ms p95
- Database queries <50ms
- Connection pooling configured
- Caching strategy defined
- Background jobs for heavy tasks
Quality Requirements
- PR under 300 lines
- Include unit and integration tests
- Update API documentation
- No breaking changes without versioning
- Follow existing patterns
Output Instructions
See template.md for report format and output location.
Intelligence Access
Use scripts/intelligence.sh for accessing VNX intelligence patterns and solutions.
Skill Activation Announcement
MANDATORY — first line of every response after skill load:
🔧 Skill actief: backend-developer
No exceptions. This must appear before any other content.
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