Browse skills

This Escalation Handler automatically manages complex customer issues by routing them to the right specialist, improving resolution times and satisfaction.

Automates Clojure & Clojurescript unit/integration tests, generating reports and identifying potential issues quickly.

Django Doctor diagnoses and fixes common issues in your Django projects quickly, saving you development time and headaches.

Analyzes UI element structure and attributes within web applications to identify potential accessibility issues and optimization opportunities.

Continuously tracks system metrics & logs, alerting DevOps teams to anomalies and potential issues in real time.

Identifies code quality issues & suggests refactoring opportunities based on established markers, improving maintainability.

Queries and analyzes Prisma data using SQL; optimizes schemas and resolves complex database issues efficiently.

This skill allows you to interact with Jira issues (versions 8, 13, and 17) for automation and data retrieval, streamlining workflows.

Diagnoses React Native project issues, suggests fixes, and optimizes configurations for improved performance and stability.

Automates code quality checks, linting, and formatting to ensure consistent style and identify potential issues.

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

This skill automatically checks your Makefiles and contracts for common errors and best practices, ensuring code quality and reducing potential issues.

Lint analyzes your text for potential issues like grammar, style, and clarity, helping you refine content for better communication.

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

Oxlint analyzes German import/export data to identify potential risks like customs issues or sanctions violations, safeguarding your international trade.

Identifies potential data migration issues like schema conflicts and missing dependencies before execution.

Deep_Health_Check analyzes data for comprehensive insights, identifying potential issues and boosting proactive health management decisions.

This tool analyzes websites for issues like broken links and poor readability, ensuring a better user experience and improved SEO.

This "Health Check" skill verifies your bot’s functionality and status, ensuring smooth operation and identifying potential issues quickly.

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

Analyzes logs for patterns & anomalies, quickly identifying issues and improving system performance or troubleshooting.

Analyzes pull requests for code quality, style adherence, and potential issues using automated checks and suggestions.

Automatically generates detailed bug reports from user descriptions, streamlining issue tracking for developers.

Track GitHub Actions workflow status, failures, and performance metrics to proactively identify and resolve issues.