Skill UI

This comprehensive benchmark suite evaluates the performance of Vision-Language Models (VLM) on complex video anomaly detection tasks using the SmartHome-Bench dataset. It covers a wide range of real-world smart home scenarios, including security breaches, elderly fall detection, and unusual pet behavior. Unlike single-frame analysis, this benchmark requires deep multi-frame video understanding, making it a robust tool for testing the advanced AI capabilities of video monitoring systems.

This skill provides a comprehensive, paragraph-level structural blueprint for writing top-tier systems conference papers (e.g., OSDI, SOSP, ASPLOS). It meticulously outlines page allocation, section-specific templates (like the 5-sentence abstract or Problem-Gap-Insight structure), and rigorous writing patterns (Gap Analysis, Observation-Driven) required for industry-leading academic submissions.

This skill provides real-time object detection capabilities by leveraging the Google Coral Edge TPU accelerator. It operates natively within Windows Subsystem for Linux (WSL), allowing high-speed, low-latency inference on live camera frames. By utilizing hardware acceleration, it achieves impressive performance (e.g., ~4ms inference at 320x320), making it ideal for edge computing projects requiring rapid visual analysis and resource efficiency.

The Desktop Commander MCP grants agents deep reach across the user's entire operating environment, extending far beyond the typical IDE sandbox. Key capabilities include maintaining persistent shell sessions, managing long-running background processes, accessing arbitrary filesystems, and natively handling structured data formats (Excel, PDF, DOCX). It also enables remote operations via SSH and large-scale content search, making it ideal for complex, multi-turn development, DevOps, and data analysis workflows.

A comprehensive playbook for digital forensic experts. It details systematic techniques and tools for detecting and extracting hidden data embedded across various media types, including images (LSB, PNG chunks, JPEG DCT, EXIF metadata), audio (spectrogram, DTMF), and files (polyglots, appended data). Essential for deep-dive forensic investigations.

This skill provides comprehensive guidance on performance measurement, advanced attribution modeling, and marketing ROI analysis. Use it when setting up detailed tracking systems, analyzing campaign channel performance, building multi-touch attribution models (like Data-Driven or Linear), or generating strategic marketing reports covering KPIs like CAC and LTV.

Provides a structured workflow for systematically accessing and analyzing official intellectual property data from the USPTO. This skill covers patent search (PatentSearch API), trademark status checks (TSDR), ownership transfer tracking, and building reproducible IP landscape logs. It is designed for data collection and record verification, emphasizing the use of official APIs and rigorous logging practices. (Warning: Not for legal advice.)

A comprehensive design system guide for building modern, high-density, and data-rich dashboards. It establishes foundational rules covering dark-themed aesthetics, modular grids, typography, color tokens, and rigorous accessibility standards (WCAG 2.2 AA). Ideal for engineers and designers building complex cloud-platform interfaces for optimal productivity and data analysis.

This skill logs founder-approved boardroom memos into durable company memory. It verifies approval status, extracts structured decision records including success and kill criteria, and stores them in a two-layer memory system. It prevents unresolved debates from being treated as decisions and schedules auto-revisits for post-mortem analysis.

A domain-agnostic 13-agent pipeline for rigorous academic research on any topic. Eight modes cover full research, quick briefs, paper review, literature review, fact-checking, three-way literature scans, Socratic research dialogue, and systematic review with optional meta-analysis, from question formulation to APA 7.0 reporting.

A comprehensive intelligence tool designed for clinical researchers to navigate the complex NIH grant landscape. It utilizes a detailed 6-step intake process (covering research idea, career stage, and data status) to perform a multi-faceted positioning analysis. The system maps research to appropriate NIH institutes using RePORTER data and generates an editable Word document containing actionable mechanism recommendations, submission timelines, and strategic guidance for funding applications.

A robust API-backed skill for fetching YouTube transcripts, searching video content, browsing channels, and extracting playlists. It functions reliably from any cloud server environment, bypassing limitations found in local tools like yt-dlp or reliance on Google API keys. Ideal for building research corpora, competitive intelligence monitoring, and systematic content analysis.