Skill UI

An advanced tool for network intelligence that calculates weighted graph scores to map the optimal path to a target. It identifies potential introducers, measures 'bridge value' across connections, and helps determine whether a connection requires a warm introduction or direct outreach on platforms like X and LinkedIn. Ideal for users needing the raw ranking methodology.

This skill generates highly structured, long-form blog content (800-3000 words) optimized for both SEO ranking and AEO citation requirements. It automatically includes essential elements like a TL;DR summary block, defining sentences, comparison tables, and 5 distinct FAQs. This structure ensures the content is easily digestible, highly authoritative, and optimized for extraction by modern AI engines and search algorithms. Ideal for building topical authority and content clusters.

Generates comprehensive, structured landing pages designed for high SEO ranking and AEO (AI Extraction Optimization) citation. This skill builds a complete narrative arc, guiding visitors from awareness to action, and includes critical sections like problem statements, social proof, FAQs, and conversion-focused CTAs for maximum performance.

Generates high-converting, SEO-optimized content for competitor comparison and alternative pages. This tool creates structured content for 'X vs Y' layouts, 'Alternatives to X' roundups, and feature matrices, ensuring comprehensive coverage for competitive intent keywords. It includes advanced SEO elements like Schema Markup and strategic CTA placement to maximize conversion rates and search engine ranking.

Provide qualitative, evidence-traceable developmental review of scholarly works and audit low-stakes research-assessment rubrics with local quality controls. Not for ranking people or high-stakes decisions.

This comprehensive tutorial guides developers through setting up and utilizing Algolia for advanced search functionality. It covers fundamental operations such as indexing records using `saveObjects`, performing targeted searches, and configuring index settings (like custom ranking and faceting). The guide also demonstrates advanced use cases, including multi-index federation and browsing all records, making it ideal for developers building or optimizing a search backend.

A comprehensive guide providing minimal working examples for core Cohere API v2 endpoints, including Chat completion, text embedding, and search reranking. This resource details basic setup, usage patterns, and includes runnable code examples in both TypeScript and Python, making it perfect for new AI integrations or learning advanced LLM functionality.

A comprehensive checklist guide for deploying Algolia search services to a production environment. It covers critical steps including index configuration (attributes, ranking), securing API keys (admin vs. search-only), setting up replicas for multiple sort orders, implementing monitoring, and defining graceful degradation/fallback mechanisms. Ideal for go-live and major deployments.

This tool provides comprehensive audits for App Store and Google Play listings. It analyzes metadata, visual assets, and user ratings against current ASO best practices. By fetching live data and assessing brand maturity, it generates a prioritized, actionable plan to boost app visibility, improve conversion rates, and enhance overall store ranking.

This comprehensive workflow guides the implementation of a complete Retrieval-Augmented Generation (RAG) pipeline using Cohere's core services. It demonstrates the full process: embedding documents, searching for relevant context, reranking results for precision, and finally generating a grounded answer with precise citations using the Chat API. Ideal for building knowledge-intensive, enterprise-grade Q&A systems.

This guide provides production-ready code patterns for integrating with the Cohere AI API v2 using TypeScript and Python. It covers essential best practices, including singleton client management, robust retry mechanisms, type-safe chat wrappers, streaming, embedding, reranking, and structured JSON output. Use this when establishing team coding standards or refactoring existing Cohere integrations.

This comprehensive workflow pulls detailed analytics and audience insights from your Linktree profile. It measures key metrics such as total views, clicks, and conversion rates, while also providing deep dives into link performance ranking, top audience locations, referring sources, and device usage. Use this tool to understand your audience behavior and optimize your social media strategy.