Browse skills

Designs scalable, resilient, and efficient backend architectures leveraging cloud technologies and best practices for complex applications.

Helps with mobile development, storage as part of software development workflows workflows.

Automatically generates diverse test cases from requirements documents to improve software quality and coverage.

Automates building Retrieval Augmented Generation (RAG) pipelines for knowledge retrieval and question answering from custom data sources.

This AI leverages a Rails expert's knowledge to provide detailed guidance and solutions for your Ruby on Rails development challenges.

This skill facilitates dynamic conversations to elicit detailed user needs & system requirements, saving time and improving project clarity.

This skill leverages AISDLC to analyze and extract key information from text, streamlining data processing and understanding.

Develops performant, memory-safe backend systems in Rust leveraging unsafe code when necessary for optimization.

Visually design and automate complex workflows using a drag-and-drop interface, streamlining tasks and boosting efficiency.

This Output Formatter neatly structures your AI-generated text into desired formats (e.g., lists, paragraphs) for cleaner results and easier use.

Executes Google Cloud commands via the `gcloud` CLI, streamlining infrastructure management and automation tasks for developers.

Automatically generates detailed code review requests based on specifications, improving test coverage and quality.

Rag Auditor — provides AI agent assistance for software development workflows.

Generates efficient Python code snippets and scripts to solve backend tasks, leveraging best practices from omer-metin's expertise.

Generates complex, type-safe TypeScript code leveraging advanced features like conditional types and mapped types for robust backends.

Generates robust, type-safe TypeScript code leveraging advanced features like conditional types and mapped types for complex backend logic.

Huiali's rust-type-driven backend agents generate safe, performant code by leveraging Rust's type system for robust error prevention.

Generates idiomatic Rust asynchronous code leveraging common patterns like `async`, `await`, and futures for efficient backend development.

Helps with storage, Java as part of developing backend services and APIs workflows.

Generates C++ code from natural language instructions, leveraging advanced language understanding for precise implementation.

Securely stores and retrieves Telnyx data using Ruby scripts within your AI workflows.

Generates Scala code snippets and explanations based on natural language prompts, leveraging advanced AI models.

This skill provides a robust Rag (Retrieval-Augmented Generation) implementation for seamless integration of external knowledge into AI responses.

Generates mobile app UI code (Android/iOS) from descriptions, leveraging best practices and component libraries.