Skill UI

This guide provides a comprehensive onboarding process for RuView (WiFi-DensePose). It details three deployment tiers: Docker simulation for quick testing and UI exploration, source code build verification (Rust/Python), and live sensing setup utilizing ESP32 hardware. Ideal for new users or rapid prototyping.

Defines role-based allowed tools and skills for spawn_subagent workflows, including boundaries for executors, reviewers, planners, and testers. Useful for configuring sub-agents safely and consistently.

A comprehensive tool for finding solutions to software errors, API usage issues, and compatibility problems by searching major developer communities, official documentation, GitHub, Stack Exchange, and various Chinese technical forums. Ideal for debugging and discovery workflows, it aggregates real-world workarounds and technical Q&A, but results should not be cited as academic evidence.

A comprehensive security auditing tool designed to analyze codebases for vulnerabilities. It provides a structured workflow to scan entire repositories, review specific changes (like PR diffs or single commits), and suggest verified patch files. Findings are challenged by independent agents, ensuring that suggested fixes are targeted and require manual review before application.

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.

This tool performs a comprehensive, dedicated audit of all images on a webpage or site. It evaluates images for optimal SEO, performance, and accessibility, checking alt text quality, file sizes, modern formats (WebP/AVIF), responsive attributes, lazy loading implementation, and preventing Cumulative Layout Shift (CLS). It provides a prioritized optimization list to improve site speed and search engine rankings.

A comprehensive tool for managing high-performance GPU resources via Itô Compute. It allows users to query live GPU inventory, submit authenticated fixed-rate Requests for Quote (RFQ), inspect procurement status, and run explicit node qualification tests. This system is designed for finding capacity (e.g., H100/H200) and validating node readiness for compute workloads.

A comprehensive tool for distributing marketing tasks to team members. It intelligently matches tasks based on roles, channel expertise, regional alignment, and current capacity. Features include assigning new tasks with smart matching, viewing assignments, and generating workload dashboards to prevent resource bottlenecks and skill mismatches.

This skill performs a deep technical SEO analysis, diagnosing fundamental website issues related to search engine visibility and performance. It covers optimizing Core Web Vitals, improving crawlability via robots.txt and sitemaps, fixing rendering problems (JavaScript SEO), managing complex redirects, and ensuring optimal site architecture. Use it for comprehensive site audits, migrations, and performance tuning.

A comprehensive guide detailing the Annals of the American Association of Geographers (AAAG) review process. It covers double-anonymous peer review, subject editor criteria, common pitfalls (such as lack of theory or poor cartography), and how to interpret decision letters to maximize acceptance chances. Use this before submission to stress-test your manuscript and improve scholarly rigor.

A comprehensive guide for authors preparing rebuttals following AAMAS preliminary reviews. It details the specific constraints (e.g., double-blind, no new results), the strategies for addressing diverse technical reviewers (such as game theorists, MARL experts, and systems engineers), and the structured pattern required to maximize the impact of a short response window.

This guide outlines best practices for ensuring rigorous reproducibility of complex interaction claims, especially in game theory and multi-agent systems (MAS). It details required evidence for proofs, experimental setups (agents, opponents, seeds, compute), and consistency checks between the paper's claims and the provided artifacts. Essential for high-stakes academic submissions like AAMAS.