Browse skills

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

Analyzes backend code for bugs, inefficiencies, and style violations, suggesting improvements aligned with best practices.

Feedback Mastery helps refine your prompts for optimal AI responses by analyzing and suggesting improvements – boosting output quality & efficiency.

Identifies recurring workflow patterns in data to suggest process improvements and automation opportunities.

Identifies potential dbt transformation improvements like model duplication, unused columns, and inefficient logic.

This skill analyzes a website’s structure to identify potential improvements for user experience and SEO optimization, boosting its effectiveness.

Automatically drafts clear, concise postmortems from incident data, highlighting root causes and actionable improvements.

Analyzes complex SQL queries, identifies performance bottlenecks, and suggests optimized Prisma schema & query improvements.

Analyzes Linkerd service mesh configurations to suggest improvements based on established best practices and common patterns.

Event Continuous Improvement — provides AI agent assistance for software development workflows.

Enforces consistent code style by automatically suggesting improvements based on established coding standards, boosting readability and collaboration.

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.

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

Analyzes code snippets against specified style guides and best practices, suggesting improvements from zhanghandong.

This skill helps your agent learn and adapt by analyzing its performance, boosting its capabilities and effectiveness over time.

Analyzes and suggests SQL query optimizations and index improvements to boost database performance.

Summarizes daily work progress, identifies roadblocks, and suggests actionable improvements based on task data.

Identifies common Django design patterns & suggests improvements for code structure, maintainability, and best practices.

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 PHP code for adherence to best practices, suggesting improvements for readability, security, and maintainability.

Analyzes game mechanics, level design, and player psychology to suggest improvements based on established game design principles.

Analyzes Pinia stores for common anti-patterns and suggests improvements aligning with best practices.