Skill UI

A comprehensive tool to configure and govern the multilingual settings for an active brand, controlling language infrastructure across translation, localization, and content auditing commands. Users can set primary/secondary languages, define do-not-translate terms, specify preferred translation services (DeepL, Google Cloud, etc.), and manage locale-specific formatting rules (date, currency, numbers). This ensures consistent, market-appropriate, and compliant multilingual output for global content workflows.

This comprehensive tool conducts a deep audit of local search engine optimization (SEO) health. It evaluates Google Business Profile (GBP) completeness, NAP consistency, citation presence, on-site location pages, and local schema. The output is a prioritized, actionable report designed to improve local pack rankings and boost foot traffic or service inquiries.

This comprehensive tool provides a deep audit of your entire marketing technology stack. It analyzes existing tools for functional gaps, redundancies, integration weaknesses, and cost inefficiencies. Use it when evaluating platform consolidation, planning digital transformation, or needing to optimize spend to maximize ROI and business growth.

Perform comprehensive, granular SEO audits on a single URL. This tool examines title tags, meta descriptions, content depth, E-E-A-T signals, technical health (Core Web Vitals, canonical tags), and AI search readiness. Ideal for landing page optimization, content auditing, and ensuring compliance with the latest Google guidelines.

A comprehensive tool for managing all URL redirects (301/302) across a website. Use it to create permanent or temporary redirects, systematically audit existing rules for common SEO issues like redirect chains, loops, and broken links, and fix these issues. Essential for site migrations, URL restructuring, and maintaining high SEO performance by preventing traffic loss.

This tool executes comprehensive SEO implementation changes directly on connected CMS platforms like WordPress and Webflow. It facilitates the deployment of structured data (JSON-LD schema), updating meta tags, managing canonical URLs, creating 301/302 redirects, and requesting indexation. The process enforces a mandatory approval gate to ensure auditability and a structured implementation report for every change, bridging the gap between SEO recommendations and live deployment.

A comprehensive tool for managing and optimizing XML sitemaps. This utility allows users to analyze existing sitemaps for SEO health issues (e.g., 404 errors, stale dates, robots.txt conflicts) and to generate new, structured sitemaps. It adheres to industry best practices across various models (eCommerce, SaaS, etc.), ensuring optimal indexation for search engines.

Performs a deep dive technical SEO audit, covering core web vitals, crawlability, indexation, site architecture, and structured data. This audit identifies technical debt and provides a prioritized, actionable report with specific fixes and expected impact for improving search engine visibility and ranking.

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.

Provides comprehensive guidelines for designing, auditing, and documenting empirical evidence for high-level AI research submissions (e.g., AAAI). It covers essential methodologies including strong baselines, single-factor ablations, robustness testing (shift, seed, prompt), statistical significance, and ensuring perfect alignment with reproducibility checklists and ethical reporting. Use this guide before submission to ensure empirical evidence strongly supports all claimed AI contributions.

This guide provides a comprehensive pre-submission audit checklist for AAAI conference technical papers. It covers crucial aspects like double-blind anonymity, page limits, reproducibility requirements, author policies, and adherence to the latest AI-use guidelines. Use this before submitting to mitigate risks of desk rejection or policy violation.

Provides comprehensive guidelines for designing, auditing, and reporting high-rigor multi-agent experiments, especially in game theory and self-play systems. It emphasizes testing the *interaction* claim—such as convergence to equilibrium, truthful behavior, or emergent cooperation—against held-out opponents, populations, and strategic deviations, moving beyond simple single-agent leaderboard scores.