Skill UI

A comprehensive guide for diagnosing physical and logical network failures, such as CRC errors, packet drops, duplex mismatches, and flapping. It teaches users how to analyze interface counters and trends across routers, switches, and Linux hosts to pinpoint the root cause of connectivity issues.

A comprehensive tool for analyzing website backlink profiles. It assesses referring domains, anchor text distribution, and overall link quality. Features include toxic link detection, competitor gap analysis, and deep link health evaluation using multiple industry APIs (Moz, Bing, DataForSEO, Common Crawl). Essential for professional SEO audits and link building.

Provides comprehensive optimization tools for e-commerce product listings. This tool performs detailed on-page SEO audits (Title, Schema, Content) and integrates with major marketplaces (Google Shopping, Amazon) via APIs. Key features include competitor pricing analysis, identifying keyword gaps, validating product schema, and creating cross-marketplace performance reports to maximize visibility and sales.

The FLOW framework is an evidence-led operating model designed for the AI-search era. It structures the entire SEO process into five distinct, systematic stages: Find, Leverage, Optimize, Win, and Local. By utilizing a comprehensive library of 41 AI-driven prompts, it guides users away from ad-hoc querying toward structured, evidence-backed analysis, ensuring consistency across keyword research, backlink strategies, and local optimizations.

This powerful AI skill generates optimized, production-ready images for various SEO assets, including Open Graph (OG) images, blog heroes, product photography, and infographics. It automates the application of best practices by setting optimal aspect ratios, resolutions, and domain modes for maximum visual impact and search engine visibility. Additionally, it guides users through post-generation SEO optimization, such as Alt text and Schema markup.

SXO bridges the gap between traditional SEO and genuine user experience. This deep analysis reads Google Search Engine Results Pages (SERPs) backwards to detect page-type mismatches, derive core user stories from search intent signals, and score web pages from multiple persona perspectives. It identifies why theoretically optimized content fails to rank by analyzing the actual ranking signals Google rewards for a given keyword.

This guide details the architectural and implementation patterns for building modular applications or microservices using the tinystruct Java framework. It covers core concepts like using the @Action annotation for dual routing (CLI/HTTP), managing request state with Context, and using native Builder for JSON serialization, ensuring a lightweight and structured development environment.

A comprehensive skill for integrating X (Twitter) data into applications, scripts, data pipelines, and AI agents. It supports advanced scraping tasks including tweet searching, user lookup, following export, and media downloading. Functionality is exposed via generated SDKs (Python, TypeScript, Go, etc.), REST endpoints, signed webhooks, and the MCP server for agent automation.

This guide provides a comprehensive framework for designing statistically rigorous A/B tests, split tests, and multivariate experiments. It covers everything from formulating strong hypotheses and calculating sample sizes to selecting appropriate primary, secondary, and guardrail metrics for various business contexts.

Diagnoses full-stack failure modes in agent and LLM applications, including wrapper regressions, memory contamination, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings and code-first fixes for production agent systems.

Use this skill to deeply inspect and audit the entire process of local AI coding-agent sessions. It tracks critical operational metrics such as token consumption, cost spikes, tool failures, latency anomalies, and overall health scores. Ideal for debugging unreliable code runs, establishing CI/CD health gates, or comparing different attempts to ensure semantic accuracy.

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.