Browse skills

Identifies and flags potential JavaScript code style and error issues using ESLint rules.

Lint Fix automatically identifies and corrects common code style issues, boosting readability and maintainability for cleaner code.

This skill scans Kubernetes configurations using IAC linters to identify potential issues and vulnerabilities for improved security & compliance.

This skill uses Hadolint to automatically scan Docker containers for security vulnerabilities and code style issues, improving container security posture.

Ktlint analyzes code for style issues and potential bugs, helping developers maintain consistent quality and catch errors early.

This skill swiftly identifies and fixes code style issues (linters) in multiple files simultaneously, boosting developer productivity.

Automatically aggregates and analyzes application logs & metrics to proactively identify and resolve operational issues.

Continuously tracks system health metrics, proactively alerting users to potential issues and optimizing performance.

Generates custom error pages for your website, improving user experience and branding when unexpected issues occur.

This skill provides troubleshooting guidance for specific error codes, quickly resolving technical issues and saving valuable time.

Detects and flags potential domain errors in M13 builds, preventing unexpected issues and ensuring a stable environment.

Automates DevOps metric collection, visualization, and anomaly detection to proactively identify system issues.

This expert provides in-depth knowledge of .NET Core development, accelerating backend projects and troubleshooting complex issues efficiently.

Asc Submission Health analyzes submitted content for potential issues like formatting errors or policy violations, ensuring a smoother review process.

This skill generates diverse Semgrep rule variants from a single rule, accelerating code analysis and finding subtle issues effectively.

This skill provides a fresh perspective on your prompt, potentially uncovering hidden issues or generating alternative solutions for better results.

Analyzes code execution traces to visualize dependencies and identify potential issues, boosting debugging efficiency.

Grepai Troubleshooting swiftly diagnoses and resolves technical issues by analyzing logs and system data, saving time and improving efficiency.

Phoenix Observability swiftly identifies root causes of application issues by correlating logs, metrics, and traces – boosting DevOps efficiency & reducing downtime.

Periodically checks external services & APIs to proactively identify and resolve potential issues impacting agent performance.

Analyzes code during development to identify potential quality issues and suggest improvements for cleaner, more robust software.

This "Assess" skill analyzes provided text to identify key themes, sentiment, and potential issues – useful for quick understanding & decision-making.

This skill decodes Base64-encoded strings and identifies potential issues, streamlining data extraction and debugging workflows.

Eve Troubleshooting helps diagnose and resolve technical issues within your Eve Online game account, saving you time and frustration.