Skill UI

This tool guides users through developing a comprehensive content strategy designed to drive organic traffic, build topical authority, and generate qualified leads. It helps define core content pillars, map out topic clusters, and identify high-potential topics by analyzing business goals, customer pain points, and competitive gaps. It ensures content creation is searchable, shareable, and directly aligned with product marketing objectives.

This specialized skill acts as an expert SEO consultant to diagnose website performance issues. It conducts comprehensive audits covering Technical SEO (crawlability, site structure), On-Page SEO (metadata, content quality), and Content Strategy. It provides a highly structured, actionable report with prioritized recommendations to boost organic search ranking and visibility.

Intelligent multi-strategy web scraper that selects between static WebFetch, browser automation, curl/bash, and WebSearch paths to extract structured tables, lists, pricing, and other data, with pagination handling, validation confidence, transforms, and CSV/JSON output for monitoring workflows.

Allows users to resume an interrupted or paused autoresearch experiment. It automatically loads the full context, including configuration, strategy files, complete results history, and recent code changes. The system then summarizes the current best metrics and patterns, prompting the user to continue with a single iteration, set up an automated loop, or manually review the results.

This expert guides users through comprehensive customer research, whether analyzing existing assets (transcripts, surveys, tickets) or gathering new intel from online sources (Reddit, G2, forums). It helps uncover deep customer pains, desired outcomes, and underlying needs (Jobs to Be Done) to ground product strategy, marketing copy, and positioning in real-world evidence.

This skill analyzes a set of web pages to generate a prioritized roadmap for internal linking optimization. It identifies natural link opportunities, detects critical orphan pages, and warns against anchor text cannibalization risks. The output provides the exact anchor text, the optimal context sentence for placement, and classifies the link type (e.g., Cluster to Pillar), ensuring maximum authority flow and improved search engine visibility.

This skill generates a comprehensive keyword strategy by identifying high-value SEO and AEO question queries for any given topic. It structures keywords into three difficulty tiers (T1, T2, T3), performs cannibalization checks to prevent content overlap, and builds a complete content map, guiding users on content type and production order for maximum search engine visibility.

This technique is designed for advanced academic research, enabling users to search for theses by running two parallel tracks: a Topic Track (focusing on discipline, methodology, and materials) and a People Track (focusing on university, advisor, degree type, and year). By switching between these two methodologies, users can cross-validate results and significantly improve the accuracy and completeness of their literature review.

This technique guides users through a rigorous two-phase research strategy. First, conduct a broad search to identify potential papers or authors. Crucially, the system instructs the user to use the extracted "author full name" as a highly specific anchor in subsequent queries. Combining the author's name with details like journal, institution, year, or biographical information ensures the most precise and reliable results, significantly narrowing down the search scope and achieving deep academic insights.

A comprehensive guide to diagnosing and enhancing search relevance within Qdrant. This skill addresses reported issues such as low precision, low recall, or irrelevant matches. It guides users through determining if the problem lies in the embedding model, Qdrant configuration, or the query strategy. Techniques covered include optimizing chunk splitting, tuning HNSW parameters, implementing hybrid search, and utilizing reranking for superior result quality.

This advanced skill automates the entire lifecycle of cloud infrastructure deployment. Instead of manual documentation review, it researches current best practices across multi-cloud platforms (AWS, GCP, Azure), synthesizes a coherent deployment strategy, and generates production-grade Infrastructure as Code (IaC). It outputs comprehensive artifacts, including Terraform modules, Kubernetes manifests, CI/CD pipelines, monitoring setups, and cost estimates, ensuring secure and optimized deployment.

An evidence-led SEO workflow built around the Find → Leverage → Optimize → Win loop. Use it to surface stage-specific AI prompts for keyword research, backlink strategy, on-page improvements, and conversion-focused SEO analysis.