Skill UI

This SDK enables managing MongoDB Atlas Organizations as Azure ARM resources for unified billing. It supports .NET developers with operations to create, retrieve, update, and delete organizations. It focuses on organizational structure and marketplace subscription details, not clusters or databases directly.

This skill performs a comprehensive architecture audit on codebases by mapping module dependencies and checking layering integrity. It identifies structural decay using principles from classic engineering books. The tool generates Mermaid dependency graphs, assesses testability seams, and applies Conway's Law checks to ensure architectural health. It is suitable for developers needing to understand codebase structure, review folder organization, or detect circular imports before refactoring.

This skill converts dense text, articles, or complex notes into clean, highly structured, and hierarchical bullet points. It is ideal for summarization, academic studying, or creating organized notes where strict readability and clear parent-child relationships are required. It eliminates prose and paragraphs, enforcing a pure bullet format for maximum structural clarity and memorization.

AWS CloudFormation enables Infrastructure as Code (IaC) for deploying AWS resources using YAML templates. It supports creating stacks, nested stacks, and managing multi-environment deployments. Features include change sets for safe deployments, drift detection, and rollback protection. Ideal for organizing large infrastructure and exporting values between stacks. Requires AWS CLI and IAM permissions.

Create new development tracks (features, bugs, chores, refactors) with detailed specifications and phased implementation plans. Helps organize work with acceptance criteria, dependencies, and verification steps for structured development workflows.

This skill provides a systematic framework for diagnosing and proposing structural repairs for organizational failures. It moves beyond personal blame by analyzing complex dynamics such as team structures, project bottlenecks, authority chains, and governance gaps. It generates actionable memos and low-risk pilot plans, ensuring solutions address systemic root causes rather than individual shortcomings. Best used when CrossFrame Suite routes explicit organizational tasks.

Maintain durable feature-level memory across AI coding sessions using lightweight Markdown tracks. It organizes status, source-of-truth docs, decisions, risks, and changes for long-lived features. Helps AI agents resume work accurately without relying on chat history. Ideal for repositories needing structured project memory without reorganizing all documentation.

Audit, validate, and generate Schema.org JSON-LD markup to boost AI discoverability. Detects existing structured data, flags missing entity schemas, and outputs ready-to-use JSON-LD code with a GEO-SCHEMA-REPORT.md file.

This skill guides the creation of structured, importable JSON templates for the Obsidian Web Clipper. It facilitates the analysis of a target website's content structure, including DOM, Schema.org data, and CSS selectors. Users can map complex web elements into a robust template format, incorporating advanced logic like conditionals and loops, ensuring the resulting clipboard data is consistently formatted and ready for immediate use.

This skill provides comprehensive automation for managing OneDrive file lifecycles. Users can perform advanced operations including searching across metadata and content, uploading and downloading files, organizing folders, creating share links, and granularly managing permissions for specific users. It utilizes a structured workflow approach via Rube MCP, making it ideal for automating business processes involving cloud document storage and collaboration.

This skill generates robust JSON-LD structured data markup for various web components, including blogs, FAQs, tools, and SaaS pages. By implementing standard Schema.org types (WebSite, Article, FAQPage, etc.), you can significantly improve your SEO, boost click-through rates (CTR), and provide clear context to both search engines and AI systems. Includes implementation guidance for modern frameworks like Next.js.

A comprehensive automation toolkit for managing Sentry error tracking and monitoring operations. Users can programmatically investigate issues, configure project-level alert rules, manage release versions, and monitor organizational structure. Essential for DevOps and development teams needing deep integration and programmatic control over error data.