Browse skills

Generates boilerplate Laravel code for common backend tasks like authentication and database models, speeding up development.

Dynamically generates mobile UI components and layouts based on data, streamlining frontend development workflows.

Provides turn-by-turn mobile navigation instructions based on user location and destination, integrating map data seamlessly.

Access and query Coreyja's backend models to retrieve data, generate reports, or perform complex calculations.

Generates robust, scalable Node.js/Express APIs and database schemas based on detailed requirements from Rasmus Godske.

Efficiently retrieves and processes data from backend systems using structured queries, streamlining workflows and providing insights.

Develops robust, scalable backend solutions using Python/Django, focusing on API design, database management, and serverless deployments.

Automates database schema changes and data migrations using SQL scripts, ensuring safe and repeatable backend updates.

Connects to Erfan Abedinpour's DropLinked backend APIs for data retrieval, updates, and automated workflows.

Helps with Supabase, full-stack development, setup and configuration as part of working with databases and data persistence workflows.

Identifies recurring trends and anomalies in historical data to predict future outcomes and inform strategic decisions.

Automates web tasks like data extraction, form filling, and navigation using headless browser control.

Queries Azure Kusto data using natural language, enabling quick insights and analysis via claudedjale's AI agent.

Visualize Azure resources in a clear, interactive diagram generated from your subscription data.

Quickly identifies Azure resources (VMs, databases, etc.) within a subscription based on specified criteria.

Analyzes Azure observability data (logs, metrics, traces) to identify performance bottlenecks and security risks.

Optimizes infrastructure performance and resource utilization using data-driven insights and automated remediation strategies.

Automatically adjusts ruvnet agent parameters to maximize efficiency and output quality based on real-time performance data.

Analyzes network performance data using Jacobson's algorithm to identify congestion points and optimize throughput.

Analyzes system performance data to identify bottlenecks and suggest optimization strategies for improved efficiency.

Analyzes performance data from rdimascio's systems, identifying bottlenecks and suggesting optimization strategies for improved efficiency.

Analyzes and optimizes fotecodev application performance using detailed profiling data and actionable insights.

Generates realistic character animations from text prompts or motion data using advanced AI techniques.

Helps with optimization, patterns as part of working with databases and data persistence workflows.