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.

A comprehensive guide for configuring and deploying the RuView wireless sensing system. It covers firmware build-time settings (sdkconfig), runtime parameters (NVS provisioning), multi-node mesh setup, and integrating advanced edge intelligence modules (ADR-041). Essential for tuning system behavior and capabilities without modifying core code.

Reconcile code, docs, rules, memory, and workspace residue so the next session starts from one current source of truth. Best for project handoff, stale documentation, and closing out knowledge drift.

Provides advanced strategies for optimizing content and brand presence for generative AI search platforms (AEO/GEO). Covers AI Visibility, Citation Tracking, Entity Consistency, and Knowledge Graph optimization across tools like ChatGPT, Gemini, and Google AI Overviews. Essential for brands adapting to modern AI search experiences.

A comprehensive tool designed to audit and ensure the consistency of brand entity data across critical online knowledge sources, including Wikidata, Google Knowledge Panel, and Wikipedia. It systematically checks key properties like founding date, HQ location, and official website against the brand's source of truth profile, flagging discrepancies to protect AI engine trust and maximize digital visibility. Essential for global brand managers and digital marketers.

This tool generates comprehensive marketing intelligence briefings by synthesizing accumulated knowledge across all brand agents and channels. It surfaces cross-agent patterns, confidence scores, and actionable playbooks, transforming raw data into strategic advantages. Use it for quarterly planning, strategy reviews, knowledge gap analysis, or onboarding new team members to maximize decision-making confidence.

This skill facilitates the persistent storage of critical brand knowledge, including campaign learnings, brand guidelines, and competitive intelligence, into a specialized memory layer (such as a vector database). It automatically indexes content, deduplicates entries via hashing, and applies rich metadata tagging, ensuring that valuable institutional knowledge is preserved and retrievable through natural language search across different sessions.

Performs advanced semantic search across all stored brand knowledge, including guidelines, campaign learnings, and competitor insights. By combining vector databases, knowledge graphs, and local indices, it provides comprehensive, context-aware answers to complex natural language questions, ensuring users make decisions based on the brand's entire historical knowledge base.

This tool batches syncs all accumulated session learnings, campaign insights, and performance data to a persistent memory layer. It ensures valuable knowledge is automatically retained across multiple work sessions without manual saving. It supports incremental syncing based on checkpoints, making it fast and safe for continuous knowledge capture.