Skill UI

A specialist for creating, modifying, and governing reusable, standardized templates and blueprints for Atlassian products, specifically Jira and Confluence. This skill ensures organizational content consistency, accelerates project setup, and standardizes complex processes like meeting notes, project charters, and user stories across the enterprise.

A specialist for creating, modifying, and governing reusable, standardized templates and blueprints for Atlassian products, specifically Jira and Confluence. This skill ensures organizational content consistency, accelerates project setup, and standardizes complex processes like meeting notes, project charters, and user stories across the enterprise.

A comprehensive guide to implementing Perplexity's API integration at various scales. It provides three validated architectural blueprints—Direct Widget, Cached Research Layer, and Multi-Query Pipeline—allowing developers to choose the optimal structure based on required query volume, latency goals, and complexity. Learn how to scale from simple search widgets to automated, high-volume research pipelines.

Deploy applications to Render by analyzing repositories, generating render.yaml blueprints, and creating services via MCP tools; works for Git-backed projects and guides users through Render-specific flows, credentials, and Docker image options.

A comprehensive guide to selecting the optimal architecture for Replit applications. It compares three scaling models—single-file scripts (prototypes), modular apps (MVPs), and multi-service systems (large scale)—to help developers choose the correct database, storage, and deployment strategy as their project grows.

This skill analyzes and optimizes the structural integrity of web content to maximize SEO performance. It provides expert guidance on creating search-friendly information architecture, including optimizing header hierarchies (H1-H6), suggesting relevant schema markup (e.g., FAQ, HowTo), and identifying crucial internal linking opportunities. Use it to build robust, highly scannable, and authority-driven content blueprints.

This guide details the production-grade reference architecture for running complex GPU compute workflows on Vast.ai. It covers the foundational three-tier pattern—Orchestrator, GPU Workers, and Artifact Storage—providing blueprints for job queue management, fault-tolerant training pipelines, and robust checkpointing. Use this when designing scalable and reliable ML/AI training systems.

This comprehensive guide helps developers select and implement optimal Vercel architecture blueprints based on project scale and complexity. It covers five validated patterns, ranging from simple static JAMstack sites and robust full-stack SaaS applications, to advanced multi-zone micro-frontend enterprise deployments. Use this resource when planning new deployments, optimizing scaling strategies, or structuring complex monorepos.

Automates Wrike project operations through Rube MCP, letting you create tasks and folders, assign work, manage statuses, launch blueprints, and track progress with existing tool schemas.

This skill provides comprehensive strategies and technical blueprints for monetizing digital products, especially SaaS platforms. It covers everything from defining advanced pricing models (freemium, value-based pricing) and optimizing revenue flows (LTV/CAC, churn prevention) to practical Stripe integrations. Use it when you need to set up subscription plans, process webhooks, or implement automated billing cycles for your software.

This guide details the process of deploying and configuring Tofino industrial firewalls for critical OT/ICS environments. It provides architectural blueprints and Python-based rule generators to implement deep packet inspection (DPI) for key industrial protocols like Modbus, EtherNet/IP, and S7comm. This ensures granular, protocol-aware access control and robust zone segmentation for safeguarding SCADA and PLCs.

A comprehensive tool that analyzes existing codebases to generate detailed, definitive architectural blueprints. It automatically detects technology stacks, identifies architectural patterns (e.g., Microservices, Clean Architecture), and documents implementation details, including dependency flow, cross-cutting concerns (security, logging), and data models. This ensures architectural consistency, aids in onboarding new team members, and guides future development efforts.