Skill UI

Guides business teams through Google Sheets automation by explaining patterns, generating production-ready code, and validating workflows for email processing, spreadsheet operations, and process optimization.

This comprehensive workflow manages the entire email outreach lifecycle within Instantly.ai. It enables users to build sender reputation by initiating and tuning email account warmup processes. Furthermore, it provides crucial capabilities to monitor warm-up health metrics, track campaign performance (including open rate, reply rate, and bounce rate), and analyze daily send data, ensuring maximum deliverability and campaign optimization.

This guide provides comprehensive techniques to optimize LangChain applications for production environments. Learn how to measure baseline latency, implement efficient caching strategies (in-memory, Redis, SQLite), utilize batch processing with concurrency control, and maximize perceived speed through streaming. Furthermore, it covers prompt optimization and strategic model selection to ensure high throughput and low costs.

Automatic assistant for Make scenario creator tasks, offering guidance on workflow automation, spreadsheets, email processing, and business process optimization aligned with best practices.

Enables Claude to monitor and analyze application CPU usage, detect hotspots, inefficient loops and regexes, and offer optimization strategies such as asynchronous processing or algorithmic improvements to boost performance.

This comprehensive guide outlines best practices for developing modern, scalable applications using the Next.js App Router. It covers critical architectural patterns, including the decision-making process between Server and Client Components, advanced data fetching strategies (caching, revalidation), file-system routing principles, API route handling, and performance optimizations like image and bundle splitting. Essential knowledge for building robust full-stack React applications.

This skill provides comprehensive best practices and Python code examples for optimizing API calls to Large Language Models (LLMs) via OpenRouter. It covers benchmarking model latency, implementing streaming to achieve low Time-To-First-Token (TTFT), and processing requests concurrently using asynchronous programming (asyncio). Use this when developing real-time, high-throughput applications that require predictable and fast model responses.

A comprehensive guide for profiling, analyzing, and optimizing Python code. It addresses identifying performance bottlenecks related to CPU usage, excessive memory consumption, I/O operations, and slow data processing. Use this skill to improve application speed and efficiency in production environments.

Automates reminder system creation within business automation by guiding through workflows, email, spreadsheet, and process optimization best practices, producing ready-to-use configurations and verified outputs.

This guide provides advanced patterns and best practices for optimizing Apache Spark jobs. It covers critical areas like effective partitioning, memory tuning, minimizing data skew, and optimizing different types of joins (broadcast, bucket). Use this when troubleshooting slow, large-scale data processing workflows or needing to scale Spark pipelines efficiently and reliably.

Automated guidance for Teams Webhook Sender scenarios within business automation, offering best-practice patterns, ready-to-use configurations, and validation steps for workflow, email, spreadsheet, and process optimization tasks.

Auto-activating assistant for Zapier integration helping with workflow automation, email handling, spreadsheet operations and business process optimization through best-practice guidance and production-ready outputs.