Browse skills

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

Evaluates agent performance based on defined metrics, providing actionable feedback for improvement and optimization.

Evaluates agent performance across diverse tasks, providing detailed metrics and actionable improvement suggestions.

This CI skill automatically refines its responses based on user feedback, continuously improving accuracy and relevance for a better experience.

Analyzes code for potential bugs, style issues, and suggests improvements based on established best practices.

Analyzes product reviews to identify sentiment, key features mentioned, and potential areas for improvement based on customer feedback.

Analyzes agent health data, identifies risks, and suggests improvements to optimize performance and prevent failures.

Optimizes application performance through automated profiling, bottleneck identification, and code improvement suggestions.

Analyzes agent interactions to identify performance bottlenecks, suggest improvements, and optimize ruvnet agent workflows.

Ruvnet's agent-reviewer analyzes agent conversations, identifying areas for improvement in response quality and adherence to guidelines.

Analyzes agent performance metrics from Markdown reports to identify areas for improvement and optimization.

Evaluates Guia-Matthieu agents based on predefined metrics, providing actionable feedback for performance improvement.

The Skill Auditor analyzes your AI agent’s outputs to identify potential issues and areas for improvement, ensuring higher quality responses.

Self Improvement — provides AI agent assistance for software development workflows.

Evaluates agent performance based on defined metrics, providing actionable insights for improvement and optimization.

The Skill Auditor analyzes your AI agent’s interactions to identify potential issues and suggest improvements for better performance & user experience.

Analyzes website content & structure to identify SEO issues, accessibility problems, and potential improvements.

Evaluates agent performance based on provided metrics, offering actionable insights for improvement and optimization.

Automatically assesses agent performance using custom metrics and provides actionable feedback for improvement.

Evaluates AI agent performance across diverse tasks, providing detailed reports on efficiency, accuracy, and areas for improvement.

Evaluates agent performance against defined metrics, providing actionable insights for improvement and optimization.

Automatically assesses ruvnet agent performance across key metrics, providing actionable insights for optimization and improvement.

Evaluates Tavi Agency agents' performance against defined metrics, providing actionable feedback for improvement.

Agentic Development helps you rapidly build and refine AI agents by suggesting improvements & variations, accelerating your automation workflows.