Browse skills

obra's systematic-debugging analyzes code execution traces to identify root causes of errors and suggest targeted fixes.

Fix Errors — provides AI agent assistance for software development workflows.

Provides Dart guidance and assistance for software development workflows.

Automates skill releases to target environments, streamlining deployments and reducing manual errors for efficient DevOps workflows.

Analyzes data sources to identify inconsistencies, errors, and potential compliance issues with detailed reports.

Generates Kubernetes manifests from YAML definitions, streamlining deployment and reducing manual errors for efficient cluster management.

This skill generates a ShellCheck configuration file tailored to your project's needs, improving code quality and reducing potential shell scripting errors.

Enforces Python type hints during code generation, reducing errors and improving backend reliability.

Handles Python script errors gracefully, automatically retries failed tasks, and logs detailed recovery information.

Official react skill covering React, data extraction for software development workflows.

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

Automates the entire release process using Asc, streamlining deployments and reducing manual errors for faster DevOps workflows.

Automatically identifies and suggests fixes for code errors, accelerating debugging workflows and improving software quality.

Proactively monitors fullstack applications for errors, performance bottlenecks, and security vulnerabilities using automated analysis.

M06 Error Handling intelligently manages and logs backend errors for improved system stability and debugging efficiency.

This Grammar Checker identifies and suggests corrections for errors in your writing, ensuring clearer and more polished communication.

Detects and flags potential M13 domain errors in prompts, ensuring accurate and consistent results for complex roleplay scenarios.

This Verification Loop skill automatically checks generated content against a source, ensuring accuracy and reducing errors for reliable outputs.

Identifies and resolves data pipeline errors within Astronomer DAGs using automated analysis and suggested fixes.

This Django Verification skill securely validates user inputs against predefined rules, safeguarding your application from malicious data and errors.

Identifies and suggests fixes for data inconsistencies and errors within Tursodatabase datasets during testing.

This skill verifies transactions for accuracy by comparing data against a database, ensuring data integrity and preventing errors.

Automatically generates unit tests for your service layer code, ensuring reliability and catching potential errors quickly.

Generates comprehensive unit tests for utility methods, ensuring code reliability and identifying potential errors quickly.