Browse skills

Diagnose and fix common PostHog React integration issues with automated code analysis and guidance.

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.

Analyzes GitHub repository code, commit history, and issues to extract project context and identify potential integration points.

Find Bugs automatically detects and reports code defects, streamlining debugging and improving software quality by proactively identifying issues.

Analyzes web pages to identify and suggest fixes for accessibility issues like color contrast and screen reader compatibility.

Generates diverse test cases and strategies to comprehensively evaluate software functionality and identify potential issues.

Continuously tracks system health, performance metrics, and logs to proactively identify and resolve DevOps issues.

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.