Browse skills

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

Accelerates Cloudflare deployments & optimizes performance using automated configuration and resource scaling.

Automatically defines realistic performance budgets for projects based on historical data and resource constraints.

Automatically generates optimized Redisearch indexes from data schemas, streamlining search implementation and performance.

Ensures AI model deployments adhere to pre-defined performance budgets (latency, throughput) using automated checks and alerts.

The Nemo Evaluator SDK allows developers to rapidly assess and compare model performance across diverse datasets, streamlining AI development workflows.

Optimizes Cloudflare Images delivery, reducing bandwidth costs and improving website performance using intelligent caching and resizing.

Leverages Lambda Labs' GPU cloud for accelerated AI model training and inference, boosting performance and accessibility.

Quickly assesses stock performance, trends, and potential risks using data-driven analysis from jssfy.

Tracks whale activity in Kubernetes clusters, alerting on resource exhaustion and potential performance bottlenecks.

This skill helps you craft optimized prompts for large language models, boosting response quality and unlocking better AI performance.

Analyzes backend code changes using differential review, identifying potential performance regressions and optimization opportunities.

Ensures Node.js code adheres to fil512's best practices for security, performance, and maintainability.

This skill automatically gathers key performance indicators (KPIs) and data insights, streamlining reporting and enabling data-driven decisions.

This skill monitors and manages your bot’s performance, ensuring smooth operation & optimal results by tracking key metrics and triggering alerts.

This "Health Check" skill monitors your AI agent’s performance and identifies potential issues for improved reliability and optimal operation.

Generates clean, production-ready Next.js code snippets based on natural language prompts, optimizing for performance and best practices.

Helps with Next.js, performance optimization as part of building frontend UIs and user experiences workflows.

Analyzes Next.js projects for best practices, performance bottlenecks, and potential accessibility issues with actionable suggestions.

Automates Next.js App Router configuration, optimizing routes, layouts, and data fetching for improved 2026 performance.

Analyzes application performance metrics to identify bottlenecks and suggest optimization strategies for improved efficiency.

Enables concurrent Rust backend services using Bos, optimizing performance and resource utilization with copyleftdev's expertise.

Automates daily rust server maintenance tasks like backups, restarts, and plugin updates for optimal performance.

Analyzes and optimizes Thurbeen M10 device performance based on user workload and environmental factors.