Skill UI

This skill transforms unstructured task lists into a disciplined, protected daily schedule. It implements the Deep Work methodology by classifying tasks into deep and shallow categories, budgeting shallow work time, and creating an energy-first time-blocked plan. It enforces strict limits, such as a 4-hour deep work ceiling, ensuring focus remains the protected resource throughout the day. Includes logging and end-of-day shutdown rituals.

This tool takes vague, rambling descriptions of desired outcomes and transforms them into a single, highly polished, autonomous prompt. Instead of building the deliverable, it crafts the comprehensive prompt (including quality bars, tool mandates, and verification loops) that a fresh AI session can execute completely on its own. Ideal for structuring complex, multi-step AI tasks.

Automates comprehensive code reviews for GitHub pull requests using parallel specialized agents. Performs eligibility checks, context gathering, multi-perspective analysis, and adversarial verification to ensure high-quality feedback. Only works on GitHub PRs, not local changes.

This skill performs a comprehensive, setup-wide health check for agentic developers. It audits various components—including skills, memory, tools, configuration, and workflow habits—to identify inefficiencies and potential improvements. It provides a detailed report and guides the user through applying targeted fixes, ensuring the agent environment remains lean and optimized.

This tool provides the framework for setting up and running mmWave/FMCW radar (60 GHz, 24 GHz) alongside WiFi CSI. It performs advanced sensor fusion, reconciling radar-derived vitals (heart rate, breathing rate) with CSI data to generate unified 48-byte fused vital records. It is suitable for developing high-precision health monitoring systems and volumetric spatial models.

A comprehensive guide detailing the entire model lifecycle for RuView. It supports multiple advanced tracking methods including camera-free pose estimation (WiFlow), camera-supervised methods using MediaPipe, robust contrastive embeddings (RuVector), and domain generalization (MERIDIAN). Covers training, evaluation, and deployment across local GPU and cloud platforms.

Expert in managing influencer, creator, and ambassador partnerships across B2C and B2B platforms. Helps find partners, structure deals, ensure compliance, and measure ROI. Covers paid posts, affiliate programs, UGC creation, and newsletter sponsorships to promote products effectively.

This skill guides users through connecting external services, proprietary APIs, or custom tools to the Digital Marketing Pro plugin. It manages the entire integration lifecycle: searching the npm registry for pre-built packages, generating complex MCP JSON configurations, handling environment variables, and executing connectivity tests. Essential for expanding plugin functionality with external data sources like CRM, payment gateways, or specialized analytics platforms.

A comprehensive tool to evaluate a brand's presence and citation accuracy across major AI answer engines, including ChatGPT, Gemini, Perplexity, and Google AI Overviews. It analyzes how the brand is described and recommended by various AI platforms, providing a structured audit report and an optimization playbook to improve search visibility.

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 to scan all connected digital marketing platforms (e.g., Google Ads, Meta, TikTok) for statistically significant deviations from established performance baselines. It detects performance drops (traffic, conversions, ROAS) or unexpected growth opportunities, classifying anomalies by severity (Critical, Warning, Info) and providing probable root causes and immediate action plans. Essential for proactive campaign management and cost control.

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.