Skill UI

A comprehensive guide covering best practices for building and debugging Nuxt 4 applications. It details patterns for ensuring hydration safety, optimizing data fetching with `useFetch` and `useAsyncData`, managing complex routing rules, and implementing lazy loading for superior performance across SSR and client-side environments.

Collects distributed trace spans for a specific task ID, building a comprehensive, visual trace tree. Users can analyze the timing of individual spans, identify performance bottlenecks, understand agent coordination, and synthesize a narrative summary of the task's execution flow. Ideal for debugging complex multi-agent systems and improving system observability.

This skill guides users through evidence-based terminal operations. It is designed for scenarios requiring direct command execution, Git status checks, debugging CI/build failures, and pushing narrow, verified fixes. It emphasizes following a structured, minimal-scope workflow and accurately reporting the repository's current state (e.g., local changes vs. pushed code).

A comprehensive guide for bringing RuView CSI sensing nodes (ESP32-S3/C6) online. This skill covers the full lifecycle: building the embedded firmware, flashing the device, provisioning WiFi credentials, and confirming the Continuous Sensing Image (CSI) data stream. Essential for physical hardware deployment and debugging of complex sensing systems.

This skilled searches GitHub Issues and Discussions to find prior reports, error matches, and compatibility clues for software debugging. It extracts details on exact errors, package versions, OS environments, and recommended workarounds. Use this workflow for diagnosis and discovery, not for academic citation. It guides structured queries to provide actionable debugging steps and compatibility summaries.

A comprehensive guide for enhancing existing agentic web applications built on the CopilotKit frontend and Microsoft Agent Framework running on Azure AI Foundry. Covers advanced topics such as adding and gating agent tools, implementing human-in-the-loop (HITL) approvals, managing shared state, debugging event streams, and safely deploying agent updates. This skill is for maintenance and extension, not for initial project scaffolding.

This skill activates 'Steno Mode,' providing highly compressed, expert-level responses by eliminating filler words and superfluous tokens (up to 40% reduction). It maintains absolute technical precision, making it ideal for technical communications like code reviews, debugging Q&A, and architecture summaries. Users can select four defined levels (lite, brief, court, machine) to control the density, with exactness always taking top priority.