Skill UI

This comprehensive guide provides patterns for building high-performance, non-blocking applications in Python. It covers using asyncio, async/await, and advanced concurrency techniques to efficiently manage I/O-bound workloads. Ideal for developing high-concurrency web APIs, real-time systems (WebSockets), and performing massive concurrent network requests.

Dispatch parallel agents to tackle independent failures concurrently so each investigator stays focused on one domain; review their summaries, check for conflicts, and run the full suite to integrate fixes faster than sequential debugging.

Deep dive guide for migrating PowerPoint, Google Slides, Canva, Keynote, and Markdown decks into Gamma; covers inventory export, concurrent batch engine, platform-specific handlers, validation, and rollback snapshots for reliable import.

Master production-grade concurrency patterns in Go. This skill covers essential components like goroutines, channels, synchronization primitives, and context management. It is ideal for building robust, high-performance concurrent applications, implementing worker pools, managing complex goroutine lifecycles, or systematically debugging race conditions.

Comprehensive Go guidance for browser automation and web scraping using Rod’s direct Chrome DevTools Protocol integration plus stealth anti-detection patterns, ideal for headless SPA testing, concurrent scraping, and request interception.

Guides Go developers through idiomatic, concurrent microservice builds using goroutines, channels, gRPC/REST, generics, profiling, and table-driven testing with the race detector to deliver high-performance cloud-native systems.

Track Kling AI video generation jobs in flight, poll status endpoints, react to state changes, and drive dashboards or alerts so operations teams stay ahead of concurrent workloads.

Provides strategies for handling Kling AI rate limits with exponential backoff, token buckets, queuing, and concurrent job control so integrations stay reliable even under 429 responses or high throughput demands.

Guides orchestrating multiple Task tool subagents with run_in_background for concurrent work, covering when to trigger parallelism, how to craft prompts, launch in one message, synchronize results, and integrate TodoWrite status updates.

This skill guides the process of modernizing React applications. It covers crucial tasks such as major version upgrades, migrating from class components to functional components using hooks, adopting advanced concurrent features (like Suspense), and utilizing codemods for automated, large-scale code transformation. Ideal for maintaining and scaling complex React codebases.

This skill guides the development of robust, high-performance asynchronous Rust applications. It covers essential production patterns using the Tokio runtime, including managing tasks, streams, channels, and proper async error handling. Ideal for implementing concurrent network services or optimizing complex async I/O logic.

Expert in writing, reviewing, and debugging idiomatic Rust code. This skill covers deep systems programming concepts, including mastering ownership, lifetimes, and borrowing patterns for guaranteed memory safety. Specializes in building high-performance, concurrent async applications using Tokio, and designing robust APIs using advanced trait hierarchies. Ideal for projects requiring zero-cost abstractions and maximum reliability.