Skill UI

This skill provides expertise in TanStack Query (React Query), a powerful tool for asynchronous state management in modern React and Next.js applications. It covers advanced patterns like data fetching, cache invalidation, optimistic updates, and handling SSR hydration, ensuring highly performant and reliable data layers.

Safely refactor code with a comprehensive TDD safety net: establish a green baseline, detect code smells, apply design patterns and SOLID principles, optimize performance, and verify all tests remain green.

This expert skill specializes in generating comprehensive daily standup notes for modern remote-first teams. It analyzes multiple data sources—including Jira tickets, Git commit history, Obsidian notes, and calendar events—to automatically extract accomplishments and track progress. It supports asynchronous communication patterns, ensuring continuous team visibility and efficient coordination without mandatory synchronous meetings.

Expert guide for building durable distributed systems with the Temporal Go SDK, covering deterministic workflow rules, mTLS worker configuration, advanced patterns, and testing/observability strategies for production workloads.

Master Temporal workflow orchestration using the Python SDK. Covers durable workflows, saga patterns, and distributed transactions. Includes guidance on async/await execution models, worker configuration, activity implementation, error handling, retry policies, and signal/query patterns. Ideal for building reliable, scalable distributed systems and production-ready workflow applications with Python.

Expert guidance for creating reusable Terraform modules for AWS, covering state management, HCL best practices, and production-grade patterns. Use for building or reviewing Terraform infrastructure.

This skill provides production-ready Terraform module patterns for AWS, Azure, and GCP infrastructure. It helps build reusable infrastructure components, standardize cloud resource provisioning, and implement infrastructure as code best practices. Users can create multi-cloud compatible modules and establish organizational Terraform standards. Includes guidance on module structure, variables, outputs, and testing with Terratest.

Expert in Terraform and OpenTofu for Infrastructure as Code (IaC). Covers advanced module design, state management, multi-cloud deployments, and CI/CD automation. Ensures secure, scalable, and compliant enterprise infrastructure patterns through policy-as-code and GitOps workflows.

Migrates and converts test automation scripts between Selenium, Playwright, Puppeteer, and Cypress. Applies API mappings, lifecycle changes, and pattern conversions to port tests seamlessly.

Jest testing patterns including factory functions, mocking strategies, TDD workflow, and best practices for component and data testing. Useful for writing unit tests, creating reusable test factories, and following red-green-refactor cycles.

This skill facilitates loading 3D assets within Three.js environments, supporting formats like GLTF, textures, and HDR images. It manages async loading patterns and progress tracking for models and external resources. Ideal for scene asset orchestration rather than direct geometry or shader authoring.

This skill provides advanced guidelines for designing robust and effective tools specifically for autonomous AI agents. It shifts the focus from traditional developer APIs to contracts optimized for Language Models (LLMs). Key topics covered include treating tool descriptions as prompt engineering, implementing namespacing, applying the Consolidation Principle, and utilizing Architectural Reduction patterns (like file system access) to maximize agent reliability and workflow complexity.