Browse skills

Analyzes webpage performance metrics (LCP, FID, CLS) to identify and suggest frontend optimization improvements.

Analyzes game reviews to identify player sentiment, common complaints, and potential areas for improvement.

Automates quality management system audits, identifying gaps and recommending improvements based on ISO standards and best practices.

Analyzes Jupyter Notebooks for code clarity, efficiency, and adherence to best practices, suggesting improvements.

Analyzes ship designs from images to predict future trends and suggest innovative improvements based on learned patterns.

Identifies potential code quality improvements, bugs, and inefficiencies within a codebase using static analysis.

Sunnypatneedi's ai-evaluation assesses AI outputs against defined criteria, providing scores and actionable feedback for improvement.

Analyzes iterative planning loops, identifying inefficiencies and suggesting improvements to optimize task completion.

Automates build evaluation and developer feedback loops, identifying regressions and suggesting improvements based on test results.

Analyzes plugin agents against SOLID principles to identify design flaws & suggest improvements for robustness.

Analyzes backend code for potential bugs, security vulnerabilities, and style inconsistencies, suggesting improvements.

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

Analyzes user workflows and suggests performance improvements based on Vijay Patel's expertise and best practices.

Analyzes prompts to identify areas for improvement, boosting LLM output quality and efficiency.

Analyzes landing pages, suggests data-driven improvements to boost conversion rates and user engagement.

Evaluates a core system’s performance against a predefined scorecard, identifying key strengths and weaknesses for targeted improvement.

Analyzes Braesology data to provide constructive peer review feedback on user submissions, highlighting strengths and areas for improvement.

Evaluates conversational flows for quality & efficiency, identifying potential issues and suggesting improvements to optimize interactions.

This Zsh Style Guide AI helps you write cleaner, more consistent Zsh scripts by suggesting best practices and formatting improvements for readability.

Evaluates AI model performance on custom datasets to identify strengths, weaknesses, and areas for improvement.

Analyzes Cairo code to identify gas optimization opportunities, suggesting improvements for Starknet transaction efficiency.

Analyzes text content like Michael Menard, identifying tone, style, and potential areas for improvement based on his expertise.

Analyzes text for grammar, style, clarity, and factual accuracy, suggesting improvements for polished writing.

Analyzes code for readability, complexity, and adherence to style guides, suggesting improvements for long-term maintainability.