Browse skills

Analyzes Django application performance metrics from Sentry to identify bottlenecks and suggest optimization opportunities.

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

Analyzes native app performance metrics like startup time, memory usage, and frame rates to identify optimization opportunities.

Analyzes GitHub repositories to extract code quality metrics, identify potential bugs, and suggest improvements.

Laravel Horizon: Metrics & Dashboards provides insightful backend performance monitoring through interactive dashboards, streamlining development and troubleshooting.

Laravel:Runner Selection intelligently chooses the optimal PHP-FPM runner for your Laravel application based on performance metrics, boosting speed and efficiency.

This skill provides Spring Boot Actuator endpoints for monitoring and managing your application's health, metrics, and configuration – simplifying operations.

Provides Java guidance and assistance for software development workflows.

Analyze backend system performance via metrics like latency, error rates, and resource utilization to identify bottlenecks.

Analyzes backend performance metrics, identifies bottlenecks, and suggests optimization strategies based on Prakhar's expertise.

Provides Java guidance and assistance for software development workflows.

Nestjs Lgtm Metrics — provides AI agent assistance for software development workflows.

Generates GitLab badges from Markdown, streamlining integration of project status and metrics into your documentation and websites.

Helps with Python, setup and configuration as part of developing backend services and APIs workflows.

Helps with Python, testing as part of developing backend services and APIs workflows.

Generates Rust Axum server templates with preconfigured logging, metrics, and basic error handling for rapid backend development.

Automates C++ benchmark tests, analyzing performance metrics and identifying optimization opportunities within codebases.

Provides Python guidance and assistance for software development workflows.

Analyzes WordPress website performance metrics to identify bottlenecks and suggest optimization strategies for speed and efficiency.