Skill UI

A comprehensive matrix detailing minimum required dependency versions for stable operation with React 18.3.1 and React 19.0.0. Use this guide before running `npm install` during major React upgrades to check for peer dependency conflicts, assess compatibility risks (e.g., concurrent mode issues), and determine if a package needs version pinning or specific migration strategies.

Guides preserving React 18 concurrent patterns during migration to React 19 while outlining post-migration adoption of new APIs like use(), Actions, useOptimistic, and Suspense data fetching so concurrent behavior stays intact.

This skill guides the parallel assignment of specialized agents when debugging multiple, independent failure domains. Instead of using one agent for all issues, isolate each problem (e.g., a specific test file or subsystem) to its own dedicated agent. This allows agents to work concurrently without sharing context or interfering with each other, significantly accelerating the debugging process and maintaining context purity.

This comprehensive guide details advanced techniques for optimizing Bright Data API scraping performance. It covers implementing connection pooling, robust response caching layers (LRU Cache), and managing concurrent requests with backpressure control. Use this when facing slow API responses or requiring high-throughput, scalable data extraction.

A utility designed for robust blockchain interactions using the Alchemy API. It implements CU-aware throttling based on Compute Unit costs, manages concurrent requests, and includes advanced retry logic for handling 429 Too Many Requests errors. Ideal for optimizing high-volume, reliable Web3 applications that must adhere to strict API rate limits and usage budgets.

This guide demonstrates best practices for implementing robust API rate limiting, backoff strategies, and session throttling patterns. It provides solutions for handling common API quota issues, such as 429 errors, and managing high volumes of concurrent encounters. It is essential for building stable, high-throughput systems in SaaS and healthcare environments.

A comprehensive guide on managing rate limits when interacting with the Apify Platform API. It details best practices for building robust, high-throughput automation workflows, covering built-in retries, request queuing using p-queue, batching large payloads, and staggering concurrent operations to prevent 429 errors and maintain system stability.

This skill provides advanced techniques to optimize interactions with the Hootsuite API. It addresses common performance bottlenecks by implementing efficient LRU caching for social profiles, optimizing message scheduling through concurrent batch processing, and ensuring robust connection reuse. Use this when experiencing slow API responses or needing to process high volumes of automation tasks efficiently.

This comprehensive checklist ensures that your Lucidchart integration is robust and resilient for production use. It covers critical areas such as OAuth2 token lifecycle management, handling document-level collaboration locks, managing rate limits, and ensuring correct API version pinning. By following these steps, developers can mitigate risks associated with concurrent edits, large diagram exports, and schema drift, guaranteeing a stable user experience.

This guide provides advanced techniques to optimize integration performance with the MindTickle API. It addresses common enterprise bottlenecks such as slow learner progress queries, rate limit errors, and high-volume webhook backpressure. Techniques covered include implementing Redis caching, using offset-based pagination for bulk data retrieval, managing concurrent requests with connection pooling, and applying exponential backoff for robust rate limit handling.

This advanced skill manages complex, large-scale development tasks by coordinating multiple, specialized subagents in parallel. It systematically decomposes the goal into isolated missions, manages resource quotas (token usage), and handles error recovery across multiple files and components. Ideal for large feature builds, system refactoring, or complex applications requiring multiple, concurrent roles (Planner, Builder, Tester).

This skill provides a comprehensive playbook for setting up and orchestrating multi-agent systems using the standalone Antigravity 2.0 Agent Manager alongside the Antigravity IDE. It guides developers on creating a dual-window workspace to coordinate specialized AI agents (e.g., front-end, back-end, QA) to work in parallel on a single codebase, significantly boosting development efficiency and managing concurrent code changes.