Community Skills

Helps with Rust, UI components as part of developing backend services and APIs workflows.

Analyzes Rust code to identify and resolve ownership and borrowing issues, ensuring memory safety and preventing data races.

Develops robust, performant Rust backend systems and projects leveraging rmyndharis' expertise in low-level programming.

Analyzes RustFS storage system metadata using machine learning to predict and prevent performance bottlenecks.

Helps with JavaScript, patterns as part of developing backend services and APIs workflows.

Access, list, and retrieve data from specified file paths within a defined workspace using this tool.

This skill provides current news summaries, offering users quick access to relevant information and staying informed effortlessly.

Identifies and suggests improvements to Ruby code based on established design patterns and best practices.

Helps with design, patterns as part of building frontend UIs and user experiences workflows.

Rapidly generates clean, scalable frontend architecture blueprints based on project requirements and chosen frameworks.

Generates clean, maintainable frontend code using Swift protocol-oriented programming principles for robust component design.

TCA generates creative text formats like poems, code, scripts, musical pieces, email, letters, etc., offering versatile content creation.

Generates Swift code snippets for embedded systems UI development, optimizing performance and resource usage.

Optimizes complex frontend UI updates using Swift concurrency for smoother animations and responsive user experiences.

Seamlessly copies selected text/images to clipboard with a customizable hotkey for rapid sharing across applications.

Dynamically retrieves and validates application configuration from Kotlin code using Navikt's centralized config management system.

Generates Kotlin TDD unit tests from code descriptions, ensuring robust backend development with a focus on testability.

Reviews Elixir code against official documentation, identifying deviations and suggesting best practices from the docs.

Helps with performance optimization, code review as part of agent workflows workflows.

Analyzes Elixir code for style, potential bugs, and performance bottlenecks, suggesting improvements based on best practices.

Peyton Jones' Practical Haskell guides beginners through Haskell fundamentals with clear examples and exercises, boosting your programming skills.

The Nemo Evaluator SDK allows developers to quickly assess and compare model performance using Nemo, streamlining AI development workflows.

Evaluates large language models based on Anton Abyzov's criteria, providing detailed reports for improvement.

This skill assesses LLM performance within a harness environment, providing insights for optimization and ensuring consistent results across deployments.

This skill assesses code model outputs for correctness and quality, ensuring generated code meets specified requirements effectively.