Browse skills

Troubleshoot build errors, optimize workflows, and select appropriate tools for complex software projects effortlessly.

This skill configures linters to automatically check your code for style and potential errors, improving code quality and maintainability.

Analyzes text data to identify inconsistencies, biases, and potential errors like Sherlock Holmes investigates a case.

Analyzes Python code for common errors, style issues, and potential improvements based on RTGS 2017 guidelines.

Identifies and suggests fixes for common errors in Tauri applications based on code analysis and error logs.

Lint analyzes code for potential errors, stylistic issues, and best practices, improving code quality and maintainability.

Automatically flags potential shipping errors, missing documentation, or compliance issues before product dispatch.

Analyzes its own reasoning process to identify biases, errors, and areas for improved performance in complex tasks.

Automatically identifies and suggests fixes for common baking errors in recipe code using AI analysis.

Type Hints provide static type information for your code, improving readability, catching errors early, and boosting developer productivity.

Automatically migrates TypeScript codebases to stricter compiler options, improving type safety and reducing potential errors.

Detects and flags potential domain errors in M13 campaigns, ensuring accurate targeting and maximizing campaign effectiveness.

Confirms data validity against specified rules and formats, flagging errors and suggesting corrections for improved accuracy.

This skill generates a visual preview of code changes (diff) for quick understanding and review, saving time & reducing errors.

Identifies and suggests fixes for code errors based on detailed error logs and stack traces.

Identifies potential vulnerabilities and errors in Solidity code through static analysis and automated debugging suggestions.

Dylantarre's implementation-debugging identifies and fixes code errors during automated test execution, streamlining development workflows.

Quickly identify and resolve rspack build errors and performance bottlenecks using automated diagnostics and suggestions.

Systematically identifies and fixes errors in tool outputs using structured debugging techniques and error analysis.

Guanyang's code review agent automatically checks pull requests for style, errors, and potential bugs based on established coding standards.

This Code Reviewer analyzes your backend code for potential bugs and style issues, boosting code quality and reducing errors.

Enforce consistent JavaScript code style and identify potential errors using customizable ESLint rulesets.

Checks the online status of multiple websites simultaneously, reporting any outages or errors quickly.

This Code Reviewer analyzes your backend code for potential bugs and style issues, boosting code quality and reducing errors.