Browse skills

Apollo Connectors seamlessly integrates your GraphQL data with external systems, boosting workflows and streamlining data access.

Convex helps you find the optimal solution to a problem by systematically exploring all possible choices and selecting the best one based on defined criteria.

Collects Python application metrics, logs, and traces to enable debugging and performance optimization in backend systems.

Automated code review focusing on performance, security vulnerabilities, and adherence to best practices in backend systems.

Designs, builds, and optimizes robust, scalable backend systems using Python, Node.js, and cloud technologies.

Automates server provisioning, configuration management, and deployment of backend infrastructure based on defined specifications.

This skill refactors code to a clean, hexagonal architecture for improved maintainability and testability in backend systems.

Analyzes code changes across commits to identify subtle regressions or unexpected behavior shifts in complex systems.

Cargo Fuzz automatically generates diverse, realistic test data for your cargo systems, ensuring robust and reliable functionality.

M07 Concurrency enables parallel execution of tasks for faster processing and improved application responsiveness – a crucial skill for modern systems.

M06 Error Handling intelligently manages and logs backend errors for improved system stability and debugging efficiency.

Generates architectural diagrams from textual descriptions, streamlining visualization and improving communication of system designs.

Generates, debugs, and optimizes Go code for robust and efficient backend systems and microservices.

Automated code review focusing on performance, security, and best practices within agno-agi's backend systems.

Designs, analyzes, and optimizes microservice architectures for scalability, resilience, and maintainability within existing systems.

This skill ensures operations are safely repeated without unintended side effects, crucial for reliable and robust systems.

Designs, builds, and debugs scalable backend systems and APIs based on provided specifications and requirements.

Generates, validates, and explains Pydantic models from natural language descriptions for robust data handling.

Develops Python cybersecurity tools like vulnerability scanners, intrusion detection systems, and forensic analysis scripts.

Analyzes existing systems and suggests optimal enterprise architecture patterns for scalability, maintainability, and alignment with business goals.

Identifies and suggests solutions for common design flaws hindering optimization in complex systems.

Develop robust Node.js applications quickly – ideal for building scalable backend systems and APIs efficiently.

Builds, deploys, and maintains robust, scalable backend systems using Python, Node.js, and cloud technologies for MindRally applications.

Automates thorough code reviews, identifying bugs, security vulnerabilities, and suggesting performance improvements for backend systems.