Skill UI

This guide helps authors determine if their research is web-native and which specific research track (e.g., Search, Security, Economics) is the most appropriate fit for submission to the Web Conference (WWW). It outlines critical decision points, distinguishing between general ML methods and web-specific contributions, and advises on optimal submission strategy.

This guide provides comprehensive advice for positioning applied computer vision research for the IEEE/CVF WACV conference. It helps authors assess the manuscript's fit, re-frame the narrative from journal or arXiv styles, and ensure the contribution highlights practical systems, strong empirical evaluation, and application grounding required by top CV venues.

A comprehensive guide for authors submitting policy or management papers, detailing the required structure and depth for the institutional background section. It ensures the manuscript meets the high standards of major academic journals by providing a four-part framework, timeline requirements, and linking the policy context directly to the identification strategy.

Maps a litigation team's disclosure strategy from a case summary, pleading, chronology, or early case theory. Identifies relevant document categories, likely custodians, potentially adverse materials, evidential gaps, and search themes. Supports early case assessment and proactive risk planning in civil or commercial disputes.

A comprehensive tool for researching, analyzing, and drafting documents based on Italian and European Union legal sources. It covers normative acts, jurisprudence, and official practices across civil, criminal, labor, and tax law. Users can initiate modes for general research, document creation, comparative analysis, or procedural strategy setting. Note: This tool provides professional guidance and drafts, but the final disposition of all findings must be verified against official legal sources.

SEO strategy for technical queries and developer audiences, covering keyword research, error message SEO, Stack Overflow-style content, technical long-tail keywords, and competing with official docs.

Strategy for optimizing content to be cited by AI search engines like ChatGPT, Claude, and Perplexity. Covers RAG factors, content checklists, entity building, and measurement.

This skill builds a topical authority map from business goals and search intent, prioritizing foundational and supporting pages. It generates pillar pages, cluster articles, internal linking maps, and editorial calendars to establish domain authority for SEO and AEO strategies effectively.

This skill assists in researching and prioritizing keywords based on site context and live search intent. It analyzes problem queries, question queries, difficulty tiers, and generates a content map. It estimates search volume, difficulty scores, and CPC to guide content strategy and SEO planning effectively.

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 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 strategy.

This skill executes a single iteration of an automated research experiment. It reviews historical results, decides on a specific code modification, edits the target file, commits changes via git, and evaluates the outcome. Users can specify an experiment or select from a list. The process ensures only one change is made per iteration to isolate variables, preventing evaluation script modification. It supports strategy escalation based on run count and reports keep, discard, or crash status.