Skill UI

Provides comprehensive configuration management for local LLM inference using RuVLLM. Users can select models, perform task-specific fine-tuning with MicroLoRA adapters, or implement continuous, real-time adaptation using SONA. This tool guides the entire advanced LLM workflow, covering status checks, configuration generation, and advanced adaptation loops.

Uses the Monitor tool to stream real-time events from a swarm system instead of inefficient polling. It provides live observability for key actions like agent spawns, task completions, memory writes, and health status. This is ideal for continuous monitoring and debugging of complex, distributed processes.

A comprehensive skill for ingesting, analyzing, and manipulating multi-modal video and audio content. Supports real-time desktop capture, live stream monitoring (RTSP), and file uploads (URL/local). Capabilities include advanced indexing (visual, semantic, temporal), precise moment searching, professional timeline editing (subtitles, overlays, dubbing), transcoding, and generating actionable alerts. Ideal for content creators, monitoring systems, and complex media workflows.

Queries the AIHOT (aihot.news) service to fetch the latest Chinese AI news and trends. Provides real-time updates on AI events, model releases, product launches, and industry headlines. Ideal for users asking about today's AI happenings, daily AI briefings, hot topics, or specific AI subjects like OpenAI, Anthropic, or Google. No API key required, read-only access.

A comprehensive skill for integrating agentic operational flows into the RuView sensing ecosystem (RVF). It allows external agents to read, reason about, and respond to real-time cross-component sensing data, including BFLD events, vitals, and pose estimation. Use cases include automated caregiving responses, complex event negotiation, and maintaining auditable agent state within the sensing data stream.

This advanced tool provides comprehensive multi-touch attribution analysis, moving beyond simplistic last-click reporting. It compares multiple models (First-Touch, Last-Touch, Linear, Time-Decay, etc.) to accurately allocate revenue and credit across the entire customer journey. Use it to identify which channels drive brand awareness, nurture consideration, and close conversions, enabling strategic budget reallocation decisions.

This dashboard provides a comprehensive, single-view operational picture of campaign health. It monitors active campaigns by showing real-time health scores, logging auto-corrections (e.g., bid adjustments, budget reallocation), displaying current guardrail rules, and identifying campaigns needing human attention. It quantifies the estimated savings achieved through automated optimizations, helping users trust the automated system while focusing strategic effort on critical issues.

This sophisticated tool optimizes marketing budget allocation across multiple channels using performance data, ROI calculations, and diminishing returns modeling. It analyzes current spend efficiency (ROAS, CPA) and generates a data-driven reallocation plan. Ideal for justifying spend shifts, maximizing investment returns, and creating phased implementation timelines for measurable growth.

This powerful tool provides real-time tracking and deep analysis of advertising spend across multiple connected platforms (Google, Meta, TikTok, etc.). It analyzes spending pacing against set targets, projects end-of-period spending, and flags overspend or underspend risks. Furthermore, it recommends data-driven budget reallocations based on efficiency metrics (CPA, ROAS) to maximize overall ROI for media buyers and marketing managers.

Provides a unified, real-time dashboard to monitor the status and performance of all active marketing campaigns across multiple channels (ads, email, social, blog). It aggregates key metrics (Spend, ROAS, CPA), tracks execution history, surfaces pending approvals, and flags potential issues like budget overruns or stale content, ensuring continuous campaign optimization.

Configures a comprehensive competitor intelligence pipeline to transform raw change signals into actionable insights. The system monitors multiple dimensions (pricing, content, ads, social, ranking, SERP) across specified rivals. It manages alert fatigue by applying tiered urgency rules (critical, warning, info) and batching lower-priority changes into digestible real-time alerts, daily digests, or weekly briefings.

Run simulated focus groups by leveraging real CRM data to predict how diverse customer segments will react to new messaging, pricing structures, or product concepts. This powerful tool generates structured predictions, including sentiment analysis and key objections, providing directional feedback before committing to expensive live research or campaigns. It bridges the gap between intuition and data-driven strategy.