Browse skills

Helps with AI, code review as part of software development workflows workflows.

Automatically generates basic HTML/CSS frontend code from text descriptions, streamlining initial development workflows.

Connects to and queries PostgreSQL databases using SQLAlchemy, enabling data retrieval and manipulation via Python code.

Provides code review guidance and assistance for software development workflows.

Provides testing guidance and assistance for software development workflows.

Generate Clojure code snippets and functions based on natural language descriptions for data analysis tasks.

Debug, optimize, and refactor Vue.js code with expert guidance from jeffallan's vue-expert AI assistant.

Helps with Go, code review as part of developing backend services and APIs workflows.

Provides code generation guidance and assistance for software development workflows.

Helps with AI, code review as part of software development workflows workflows.

Provides code generation guidance and assistance for software development workflows.

Automatically flags and corrects TypeScript code to adhere to project-specific linting rules and best practices.

Analyzes Clojure code for style, potential errors, and best practices, suggesting improvements aligned with Metabase standards.

Provides performance optimization guidance and assistance for software development workflows.

Helps with AI, code review as part of software development workflows workflows.

Ensures Node.js code adheres to vudovn's best practices for security, performance, and maintainability.

Helps with code review, security as part of implementing security and authentication workflows.

Helps with design, code review as part of software development workflows workflows.

Amplicode Install — provides AI agent assistance for software development workflows.

Provides code review guidance and assistance for software development workflows.

Ensures SciPy code adheres to best practices—optimization, testing, documentation—for robust and maintainable data science pipelines.

Ensures your pandas code adheres to best practices for efficiency, readability, and maintainability.

Generates well-organized .NET project structures, streamlining development and improving code maintainability for backend projects.

Automates repetitive frontend tasks like code generation, testing, and UI adjustments within specified project domains.