Skill UI

This CLI alias acts as a dedicated command to disable the PUA always-on mode feature, typically used within AI coding environments like Claude Code. By modifying the user's configuration file (`~/.pua/config.json`), it sets `always_on=false` and `feedback_frequency=0`. This function provides users with granular control, effectively turning off continuous monitoring or background feedback mechanisms managed by the AI assistant.

A comprehensive coaching layer designed to elevate users into power users of AI models. Upon first activation, it provides a structured glossary of high-impact techniques tailored to user needs. In subsequent turns, it actively monitors prompts, surfacing single, actionable tips to optimize interactions and maximize the AI's capabilities, ensuring continuous, guided learning.

This meta-skill acts as a watchdog for long-running processes, such as CI image builds or overnight model fine-tunes. It utilizes a sub-agent to continuously monitor the output via tmux, automatically diagnose failures, propose corrective fixes, and persist the entire resolution process to memory. It is designed for robust, automated debugging of complex system tasks.

A comprehensive guide and API wrapper for triggering, monitoring, and validating semantic model refreshes in Power BI/Fabric. It supports various refresh types (full, data-only, calculate-only, etc.), enabling granular control over data reloading, recalculation, and performance troubleshooting using the Fabric CLI and Enhanced Refresh API.

A comprehensive style guide for building mission control, NOC dashboards, and global monitoring systems. This theme utilizes dark mode, glowing accents (cyan, amber, red), and complex data visualization elements to simulate a high-stakes, real-time operational environment across web, iOS, and Flutter platforms.

Falco is a powerful CNCF project for real-time runtime security monitoring. This guide teaches authors how to write and deploy custom detection rules using Falco's robust YAML rule engine and modern eBPF driver. It is designed to detect critical threats such as container escapes, namespace manipulation, privileged mounts, and anomalous syscalls in Kubernetes and Docker environments, significantly hardening the overall container security posture.

This skill provides comprehensive methods and frameworks to detect sophisticated AI attacks, including model extraction, membership inference, and model inversion, which abuse inference APIs. It focuses on monitoring per-principal query volume, input distribution, and confidence exposure. Use it for securing public or partner inference APIs, or for conducting pre-deployment red-teaming to assess the model's extractability and overall security posture against MITRE ATLAS techniques.

A comprehensive framework for systematically analyzing and monitoring competitors in the developer tools space. Users can track product features, pricing models, content strategies, developer sentiment, and market positioning. This skill is essential for product managers, marketing teams, and sales teams needing accurate competitive intelligence to build battlecards and identify market gaps.

This skill provides comprehensive security and monitoring for Large Language Model (LLM) powered trading agents. It helps to audit trade decisions, ensure compliance with risk parameters, and mitigate potential risks associated with automated financial operations.

The Safety Guard skill is designed to prevent destructive actions when working in production systems or when autonomous agents are executing tasks. It offers three protection modes (Careful, Freeze, and Guard) to monitor dangerous commands, lock specific directories, and ensure code changes are confined to intended areas, enhancing system stability and security.

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.

ccboard is a comprehensive TUI and Web dashboard designed for monitoring and managing Claude Code usage. It provides unified visibility into token consumption, detailed cost tracking, session history, and the real-time status of Model Context Protocol (MCP) servers. Use it to analyze usage patterns, manage configurations, and ensure cost efficiency across all projects.