Skill UI

Guides agents through bounded parameter optimization for configurable systems with measurable objectives: define search space, budget, and baseline, run trials one at a time, log evidence, and recommend a configuration for HPO, inference tuning, simulations, or RL/control experiments.

Expert in building Retrieval-Augmented Generation systems for LLM applications. Masters embedding models, vector databases, chunking strategies, and retrieval optimization. Capable of designing retrieval pipelines, implementing hybrid search, and optimizing context windows to ensure high-quality generation from retrieved documents.

Expert web researcher using advanced search techniques, query optimization, domain filtering, and information synthesis. Provides structured findings, source credibility assessment, and actionable insights for research tasks.

Analyzes provided content for SEO best practices, E-E-A-T signals, and quality standards. Provides scoring and actionable recommendations to improve readability, keyword usage, and trust indicators for search optimization.

This skill assists in creating comprehensive content outlines and topic clusters for SEO optimization. It plans content calendars, identifies topic gaps, and maps search intent to align with user needs. Ideal for developing content strategies, pillar pages, and supporting articles. It provides actionable steps for internal linking and keyword targeting to build topical authority and improve search rankings.

This skill covers core SEO principles like E-E-A-T, Core Web Vitals, and technical foundations. It explains how search engines evaluate content quality, page experience, and trustworthiness. It guides users on creating sustainable search visibility through high-quality content, proper technical setup, and ethical AI usage, rather than relying on shortcuts.

This skill analyzes keyword usage in content, calculates density, and suggests semantic variations and LSI keywords to prevent over-optimization. It helps optimize content for search engines by identifying primary and secondary keywords, mapping entities, and ensuring natural language patterns. Use it for SEO workflows and content optimization tasks.

Analyzes content hierarchy, header tags, and internal linking strategies to improve search engine visibility. Suggests schema markup and logical information architecture for better SEO performance and user experience.