Backend & APIs skills

Lint analyzes code for potential errors, style issues, and best practices, boosting code quality and maintainability.

This skill automatically imports ArchUnit rulesets into your project, ensuring consistent and maintainable architectural constraints.

Code Linting analyzes your code for potential errors and style issues, improving code quality and reducing bugs.

Enforces rigorous Go code style and best practices via GolangCI Lint (strict mode), boosting code quality & maintainability in your backend projects.

Automates backend code reviews using a comprehensive checklist focused on security, performance, and maintainability.

Checks your local Git repository against remote branches for divergence and potential merge conflicts.

Automates backend code reviews using a comprehensive checklist, ensuring quality, security, and adherence to best practices.

Automates Python code reviews against established style guides and best practices, flagging potential issues for backend developers.

This "Sanity Check" skill verifies generated text for logical consistency and coherence, ensuring outputs are reliable and trustworthy.

This tool analyzes text to identify grammatical dependencies between words, aiding in understanding sentence structure and improving writing clarity.

Analyzes project data to identify potential risks and bottlenecks, boosting efficiency and informed decision-making.

Automatically creates new Zeabur projects with preconfigured settings based on provided templates and specifications.

Automatically generates draft pull requests from marcqualie's analysis, streamlining code review workflows.

Creates isolated Git worktrees for experimentation without affecting your main repository's history.

Generates detailed architectural blueprints and specifications based on user descriptions and constraints.

Automatically generates project folders, files, and basic documentation based on user-defined specifications.

Automatically generates draft pull request and commit messages based on provided code changes and descriptions.

Helps with Python, monitoring as part of developing backend services and APIs workflows.

This skill automatically corrects TypeScript errors in your code, streamlining development and improving code quality.

Salvo Error Handling gracefully manages and logs errors within your backend applications for improved stability and debugging.

The Debugger skill helps identify and fix code errors by analyzing runtime behavior, saving developers time and improving application stability.

Helps with Python, patterns as part of software development workflows workflows.

Helps with Python, testing, patterns as part of software development workflows workflows.

Helps with Python, patterns as part of software development workflows workflows.

Helps with Python, patterns as part of software development workflows workflows.