Everything your AI needs, in one place.

detecting-performance-regressions

Automatically detect performance regressions in CI/CD pipelines by comparing metrics against baselines. Use when validating builds or analyzing performance trends. Trigger with phrases like "detect pe

documenso-performance-tuning

Optimize Documenso integration performance with caching, batching, and efficient patterns. Use when improving response times, reducing API calls, or optimizing bulk document operations. Trigger with p

elevenlabs-performance-tuning

Optimize ElevenLabs TTS latency with model selection, streaming, caching, and audio format tuning. Use when experiencing slow TTS responses, implementing real-time voice features, or optimizing audio

engineering-features-for-machine-learning

Execute create, select, and transform features to improve machine learning model performance. Handles feature scaling, encoding, and importance analysis. Use when asked to "engineer features" or "sele

evaluating-machine-learning-models

Build this skill allows AI assistant to evaluate machine learning models using a comprehensive suite of metrics. it should be used when the user requests model performance analysis, validation, or tes

evernote-performance-tuning

Optimize Evernote integration performance. Use when improving response times, reducing API calls, or scaling Evernote integrations. Trigger with phrases like "evernote performance", "optimize evernote

exa-load-scale

Implement Exa load testing, capacity planning, and scaling strategies. Use when running performance tests, planning capacity for Exa integrations, or designing high-throughput search architectures. Tr

exa-performance-tuning

Optimize Exa API performance with search type selection, caching, and parallelization. Use when experiencing slow responses, implementing caching strategies, or optimizing request throughput for Exa i

firecrawl-load-scale

Load test and scale Firecrawl scraping pipelines with concurrency control and batching. Use when testing scraping throughput, planning capacity for large crawl jobs, or optimizing concurrent scrape pe

firecrawl-performance-tuning

Optimize Firecrawl scraping performance with caching, batch scraping, and format selection. Use when experiencing slow scrapes, optimizing credit usage per page, or building high-throughput scraping p

fireflies-performance-tuning

Optimize Fireflies.ai GraphQL query performance with field selection, caching, and batching. Use when experiencing slow API responses, implementing caching, or optimizing transcript processing through

gamma-performance-tuning

Optimize Gamma API performance and reduce latency. Use when experiencing slow response times, optimizing throughput, or improving user experience with Gamma integrations. Trigger with phrases like "ga

generating-grpc-services

Generate gRPC service definitions, stubs, and implementations from Protocol Buffers. Use when creating high-performance gRPC services. Trigger with phrases like "generate gRPC service", "create gRPC A

granola-performance-tuning

Optimize Granola transcription accuracy, note quality, and processing speed. Use when improving transcription quality, reducing processing time, optimizing templates for better AI output, or tuning au

groq-performance-tuning

Optimize Groq API performance with model selection, caching, streaming, and parallel requests. Use when experiencing slow responses, implementing caching strategies, or optimizing request throughput f

hubspot-rate-limit-survival

Survive HubSpot API rate limits at production scale. Covers daily 500K portal quota, per-10s burst limits, batch API efficiency (100x), token bucket pattern, queue-based worker architecture, and Retry

ideogram-performance-tuning

Optimize Ideogram API performance with caching, model selection, and parallel generation. Use when experiencing slow generation, implementing caching strategies, or optimizing throughput for Ideogram

implementing-database-caching

Process use when you need to implement multi-tier caching to improve database performance. This skill sets up Redis, in-memory caching, and CDN layers to reduce database load. Trigger with phrases lik

implementing-real-user-monitoring

Implement Real User Monitoring (RUM) to capture actual user performance data including Core Web Vitals and page load times. Use when setting up user experience monitoring or tracking custom performanc

instantly-performance-tuning

Optimize Instantly.ai API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing high-volume lead operatio

klingai-performance-tuning

Optimize Kling AI for speed, quality, and cost efficiency. Use when improving generation times or finding optimal settings. Trigger with phrases like 'klingai performance', 'kling ai optimize', 'faste

langchain-performance-tuning

Tune LangChain 1.0 / LangGraph 1.0 Python chains and agents for throughput, latency, and cost — streaming modes, explicit batch concurrency, semantic plus exact caches, persistent message history, and

langfuse-performance-tuning

Optimize Langfuse tracing performance for high-throughput applications. Use when experiencing latency issues, optimizing trace overhead, or scaling Langfuse for production workloads. Trigger with phra

lindy-performance-tuning

Optimize Lindy AI agent execution speed, reliability, and cost efficiency. Use when agents are slow, consuming too many credits, or producing inconsistent results. Trigger with phrases like "lindy per