Skill UI

A comprehensive set of programmatic interfaces for RuView's Wi-Fi sensing capabilities, including the CLI binary, REST API, and WebAssembly builds. This toolkit allows developers to integrate sophisticated disaster survivor detection and signal analysis into various environments, such as scripting, web browsers, and edge devices (ESP32-WASM3). Ideal for systems requiring cross-platform, scalable sensing data streams.

This detailed guide teaches authors how to structure and position their research paper within the highly interdisciplinary field of robot learning. It covers essential best practices, including reviewing multiple concurrent literature streams (ML methods, classical robotics, robot lineage, VLA models) and adhering to strict academic citation hygiene (e.g., handling PMLR year offsets).

This skill creates a standardized, persistent workspace (desk) for managing long-running projects or complex workstreams. It sets up a structured directory containing a detailed journal for historical context and a dedicated signals folder for structured data output, ensuring continuity across multiple sessions.

This guide instructs authors on how to strategically position their research manuscript within the established body of Operations Management (OM) literature. Instead of claiming an unstudied 'void,' the focus is on joining and advancing specific 'operational conversations' within canonical OM streams (e.g., queueing, supply chain, revenue management). It emphasizes differentiating contributions based on novel operational mechanisms or decision levers, ensuring the paper's fit is clear to expert reviewers and editors.

A guide for academics on how to position a theoretical argument within existing sociological conversations and traditions. It teaches users how to explicitly state their intervention—whether extending, challenging, reconstructing, or synthesizing existing theories—to ensure the work is taken seriously by reviewers. It covers identifying live theoretical streams and avoiding common citation errors.

OpenSquilla-compatible adapter that generates browser-playable AI audio such as voiceovers, narration, music, and sound effects through OpenRouter audio models. It streams OpenAI gpt-audio output, writes WAV assets, and reports structured AUDIO_READY manifests for webpage integration.

This specialized skill analyzes the complete lifecycle of real-time web communications, including WebSocket and Server-Sent Events (SSE). It is designed to map the initial handshake, decode complex message streams (subscriptions, keepalives, pushes, reconnects), and trace how frame activity leads to persistent or rendered state changes. Use this to isolate the minimal, decisive sequence of events that prove a system's behavior.

Apply Martin Kleppmann-inspired rules for designing reliable, scalable, and maintainable data systems. Covers consistency, replication, partitioning, transactions, streams, batch processing, and schema evolution. Use when making architecture decisions for data-intensive applications.

This skill automates Kimi Code execution in non-interactive mode within a bounded repository. It parses event streams, handles authentication securely, and manages sandbox permissions. Use it to delegate specific coding tasks to Kimi Code while ensuring safety constraints like timeouts and directory limits. It prevents interactive UI launches and avoids credential exposure.

Runs OpenCode headlessly via CLI to analyze repositories and perform coding tasks, returning JSON event streams. Use when delegating work to OpenCode or comparing it with another coding agent.

Provides expert consultation on ITIL 4 and the emerging ITIL 5 Digital Product & Service Management (DPSM) framework. This skill guides the integration of AI governance, ESG sustainability principles, and product-centric thinking into modern, high-velocity IT service value streams. Ideal for optimizing IT operations and achieving continuous compliance.

This skill provides language-specific super-code guidelines for Java development. It covers idiomatic patterns for streams, collections, optional handling, records, switch expressions, concurrency, and error handling. It also lists common anti-patterns to avoid, ensuring efficient and modern Java code.