Browse skills

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

Tracks brand mentions across web & social media, alerting users to potential PR issues or opportunities.

This skill analyzes team communications for quality issues like tone, clarity, and consistency, boosting collaboration & reducing misunderstandings.

Retrieves detailed tmux server status information for debugging session issues and identifying configuration problems.

Monitors Kubernetes cluster health, identifying resource constraints, node issues, and pod failures for proactive remediation.

This skill provides access to Chrome DevTools for debugging and inspecting web pages, boosting developer efficiency and troubleshooting issues effectively.

The Tool Hooks Doctor analyzes and fixes issues within your LangChain applications' tool hooks for smoother operation and improved reliability.

This tool automatically analyzes your backend code for potential issues and style violations, improving code quality and reducing bugs.

Automatically creates concise, data-driven status reports from Jira issues and connected tools.

Continuously monitors CI/CD pipelines, alerting tech leads to failures, slowdowns, and potential integration issues.

Identifies common React code style issues, potential bugs, and suggests improvements for cleaner, more maintainable components.

This skill streamlines creating detailed Fusion issues by automating data extraction and formatting, boosting efficiency & accuracy for incident management.

This skill provides access to Chrome DevTools for debugging and inspecting web pages, boosting developer efficiency and troubleshooting issues effectively.

Analyzes technical specifications to identify potential issues, inconsistencies, and areas needing clarification.

Automates Python/Node.js backend code reviews, identifying potential bugs, style issues, and security vulnerabilities.

This Error Debugger analyzes code snippets to identify potential issues and suggests fixes, boosting developer efficiency and reducing debugging time.

Automates Python/Java backend code reviews, identifying potential bugs, style issues, and suggesting improvements based on best practices.

This AI analyzes your code for potential issues and improvements, boosting code quality and reducing bugs – a valuable tool for developers.

Automates Python/Java backend code reviews, identifying potential bugs, style issues, and security vulnerabilities.

Automates Python/Django backend code reviews, identifying potential bugs, style issues, and security vulnerabilities.

Automates code review feedback analysis, prioritizing issues and suggesting fixes based on eyadsibai's established style guidelines.

This skill analyzes data to identify accessibility issues & opportunities, ensuring digital content meets inclusivity standards for broader user access.

Retrieves application logs from various sources using Uloop for troubleshooting and debugging issues quickly.

Langsmith Observability monitors your LLM deployments, surfacing insights into performance and errors to improve reliability & troubleshoot issues quickly.