Skill UI

Complete study aid for the California Bar Exam: essays across 13 subjects, Performance Test, and MBE practice, with rule blocks, memorizable IRAC paragraphs, drilling, grading, and exam-day strategy.

This skill enables systematic improvement of existing AI agents by analyzing performance metrics, identifying failure modes, and applying prompt engineering techniques. It involves establishing baselines, optimizing prompts through chain-of-thought and few-shot examples, refining role definitions, and validating changes through structured testing and A/B comparisons to ensure reliability and efficiency.

A comprehensive guide for building production-ready Android applications. Covers native development with Kotlin and Java, cross-platform frameworks like Flutter and React Native, and hybrid architectures. Includes best practices for architecture, UI design, testing, CI/CD pipelines, performance optimization, and debugging to ensure high-quality app delivery.

Optimize end-to-end application performance using specialized agents for profiling, observability, database/backend tuning, frontend loading, CDN optimization, and load testing. Use when coordinating cross-stack performance improvements, establishing baselines, identifying bottlenecks, and setting up monitoring for sustained reliability.

This .NET SDK enables developers to manage Azure Application Insights resources for application performance monitoring and observability. It supports creating components, retrieving connection strings, generating API keys, and configuring availability tests via C# code. Ideal for DevOps and backend development workflows involving cloud monitoring.

This skill guides the construction of robust, production-grade backtesting systems for financial trading strategies. It helps users systematically validate performance, avoid common biases (like look-ahead bias), and implement advanced techniques such as walk-forward analysis, ensuring reliable performance estimates before live deployment.

A structured playbook for improving the time and space complexity (Big-O) of existing, slow code. This skill guides developers through systematic refactoring, focusing on identifying bottlenecks like nested loops or N+1 queries. It emphasizes applying transformations one at a time, maintaining test coverage, and measuring performance gains to ensure correct and efficient code.

Orchestrate multi-dimensional code reviews covering quality, security, performance, and testing using specialized AI agents. Includes architecture analysis, vulnerability assessment, and test coverage evaluation with actionable remediation guidance.

Master Django 5.x framework for building scalable web applications. This skill covers async views, Django REST Framework, Celery, and Django Channels. It includes best practices for architecture, testing, security, database optimization, and deployment. Suitable for enterprise-level development requiring high performance and maintainability.

Expert .NET backend architect specializing in C#, ASP.NET Core, Entity Framework, Dapper, and enterprise application patterns. Provides guidance on architecture design, performance optimization, testing, caching, and cloud-native development for production-grade APIs and microservices.

Coordinate a bounded code review from multiple perspectives including correctness, authorization, and performance. This skill describes a review procedure for defined diffs or subsystems. It involves reading diffs, choosing relevant perspectives, recording findings with exact locations, reproducing issues, and resolving disagreements through code or tests. It is a read-only review process that does not install orchestration engines or prove compliance.

Provides comprehensive guidance on building robust evaluation frameworks for complex agent systems. It addresses the inherent challenges of non-determinism and multiple valid paths, enabling systematic performance testing, validating context engineering choices, and measuring continuous improvements across multiple quality dimensions (e.g., factual accuracy, tool efficiency).