Skill UI

Automate SEO research directly within Claude Code using Ahrefs: pull backlink lists, keyword matrices, domain authority histories, organic rankings, and batch URL stats for faster audits and competitive tracking.

Automate SEO research directly within Claude Code using Ahrefs: pull backlink lists, keyword matrices, domain authority histories, organic rankings, and batch URL stats for faster audits and competitive tracking.

A comprehensive toolkit for App Store Optimization (ASO), designed to boost mobile app visibility and ranking on both Apple App Store and Google Play Store. This guide covers end-to-end strategies, including deep keyword research, competitor analysis, metadata optimization (title, subtitle, description), and conversion rate planning. Use this resource when planning app launches or aiming to improve app store SEO and discoverability.

A comprehensive toolkit for App Store Optimization (ASO), designed to boost mobile app visibility and ranking on both Apple App Store and Google Play Store. This guide covers end-to-end strategies, including deep keyword research, competitor analysis, metadata optimization (title, subtitle, description), and conversion rate planning. Use this resource when planning app launches or aiming to improve app store SEO and discoverability.

Run SEMrush SEO workflows directly in Claude Code to research keywords, audit backlinks, monitor organic rankings, and mine related terms for any regional database without leaving your terminal.

Enables efficient querying of the bioRxiv preprint server with keywords, authors, dates, and categories, returning structured JSON metadata and optional PDF downloads for literature reviews or tracking research trends.

Python toolkit that queries the arXiv Atom API to search papers by keywords, authors, categories, or IDs, filter results, download PDFs, and emit structured JSON for AI/ML literature reviews and monitoring.

Researches SEO keywords grounded in AEO question queries, classifies them into difficulty tiers, flags cannibalization risks, and maps content production so you can prioritize high-impact terms when planning a new topic strategy.

This guide details advanced search techniques for researching musical artists from non-Western regions, including K-pop, Middle Eastern, African, and Latin American genres. It instructs users on moving beyond standard English search terms by incorporating regional keywords, cultural identifiers (like UN Ambassador status), specific platforms (e.g., Coke Studio), and systematic regional branching to find comprehensive information.

This skill enhances research query formulation by translating vague, colloquial, or generalized descriptions into precise, standard academic terminology. When initial search terms are broad (e.g., "conjugal happiness"), this technique suggests multiple plausible academic synonyms (e.g., "marital satisfaction," "relationship quality"). By improving the precision of the search query and incorporating structured constraints (like keywords, years, or sample sizes), it significantly boosts the relevance and effectiveness of academic paper retrieval.

A guide for refining search queries when researching Indian or South Asian actors. It emphasizes the necessity of including domain keywords such as "Bollywood," "Hindi film," or specific Indian award names (e.g., "Filmfare Award") to filter out irrelevant Western search results and drastically improve search precision.

This technique guides users on how to construct highly specific search queries for academic papers. Instead of relying solely on broad topic keywords, users should prioritize combining concrete numerical identifiers—such as exact sample sizes, population percentages, concentration levels, or specific year ranges—with methodological terms and discipline keywords. Using these numerical anchors significantly increases the uniqueness and precision of the search results, helping to pinpoint the exact study required.