Browse skills

Quickly identify SEO issues, broken links, and content gaps on your website with Squirrelscan's audit-website tool.

obra's receiving-code-review analyzes pull requests, identifying potential bugs, style issues, and suggesting improvements for testers.

Provides writing guidance and assistance for software development workflows.

The Naming Analyzer identifies brand names’ potential for trademark issues and memorability, safeguarding your business's identity.

This skill automatically fixes common accessibility issues in content, ensuring wider reach and usability for all users.

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

Automates accessibility screen reader testing, identifying issues like missing alt text and improper heading structure.

Tracks requests across multiple services to pinpoint performance bottlenecks and diagnose issues quickly for improved system observability.

Identifies and flags common M15 design patterns in code, improving maintainability and reducing potential issues.

Simultaneously debug multiple code branches or test environments to rapidly identify and resolve complex issues.

Automates Python/Node.js backend code reviews, identifying bugs, style issues, and suggesting performance improvements.

Automates Python backend code reviews, identifying potential bugs, style issues, and suggesting improvements using Llama 2 expertise.

Skill Vetter analyzes your AI agent’s outputs to identify potential issues like hallucinations or biases, ensuring more reliable and trustworthy responses.

Quickly identifies website SEO issues and suggests actionable improvements to boost rankings and traffic.

Quickly assesses document compliance against specified regulations, highlighting potential issues and estimated remediation time.

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

Automates audit preparation by identifying potential issues, gathering evidence, and generating compliance reports from code.

This tool analyzes your codebase to identify potential quality issues and suggests improvements for better maintainability and reliability.

Automates Python code reviews using LangGraph, identifying bugs, style issues, and suggesting improvements for backend projects.

Analyzes your backend code for potential issues like bugs and style violations, boosting reliability & maintainability.

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

Prioritizes GitHub issues based on labels, assignees, and activity to streamline workflow and focus on critical tasks.

This "Evaluation" skill assesses text for clarity, coherence, and potential issues, ensuring high-quality outputs and informed decisions.

Simulates initial user interactions to identify potential usability issues in new AI workflows.