Skill UI

Auto-activating AWS skill that guides users through CloudFormation template creation, covering compute, storage, networking, and serverless best practices with validation-ready output.

Automates AWS CloudFront distribution setup with step-by-step guidance, production-ready configurations, and validation against best practices for compute, storage, networking, and serverless workloads.

Automate Cloudinary media workflows—folder creation, upload preset configuration, asset lookup, transformation generation, usage monitoring, and webhook setup—via natural-language commands routed through the Rube MCP server.

Expert guide for designing robust, scalable, and resilient backend systems. Covers modern patterns including Microservices, Event Sourcing, CQRS, and advanced API contracts (REST, GraphQL, gRPC). Specializes in defining service boundaries, implementing distributed transactions (Saga), and integrating comprehensive security measures like OAuth 2.0 and mTLS.

This skill covers the end-to-end development of cross-browser extensions (Chrome, Firefox). Expertise includes mastering Manifest V3, structuring complex architecture (service workers, content scripts), managing local/sync storage, building user interfaces, and implementing monetization models. Ideal for building robust, production-ready tools and navigating store publishing policies.

This comprehensive skill simulates an expert business analyst, specializing in transforming complex raw data into actionable, strategic insights. The scope covers modern Business Intelligence (BI) platforms (Tableau, Power BI), AI-powered predictive modeling, designing robust KPI/OKR frameworks, advanced financial modeling, and optimizing business processes. It is designed for users needing to drive data-driven decision-making and create executive-level reports.

Guides CEOs through strategic planning, capital allocation, culture shaping, and stakeholder leadership with frameworks for board prep, fundraising, and crisis thinking in fast-moving organizations.

Chroma is an open-source, AI-native embedding database designed for building sophisticated LLM applications. It allows users to store high-dimensional embeddings and associated metadata, facilitating powerful vector search and full-text filtering. Ideal for implementing Retrieval-Augmented Generation (RAG) systems, semantic search, and document retrieval in local or self-hosted environments, making it perfect for open-source AI projects and prototyping.

A comprehensive guide for designing production-grade lead enrichment pipelines in Clay. Covers three integration patterns (Webhook, API), detailed table schema design, advanced data waterfall logic, implementing complex ICP scoring formulas, and setting up robust CRM synchronization flows for go-to-market data operations.

Provides comprehensive guidance for developing robust, cross-platform Command Line Interface (CLI) applications. Covers the entire workflow from initial UX analysis and command design to implementation using popular frameworks (e.g., commander, click, cobra). Key features include advanced argument parsing, handling shell completions, displaying progress bars, and ensuring reliable terminal interactions across Windows, macOS, and Linux.

Automates CloudWatch alarm setup by providing best-practice guidance, sample configurations, and validation for AWS compute, storage, networking, and serverless workloads.

Provides auto-activated guidance for code documentation analyzer tasks, recommending best practices, generating ready-to-use docs or configs, and validating API, user-guide, and architecture documentation.