Skill UI

Create structured moodboards that synthesize inspiration from trend research or site analysis, refining colors, typography, and patterns through iterative user feedback before implementation.

Simulates a highly structured, sequential peer-review process using multiple specialized AI agents (e.g., Skeptic, Constraint Guardian, User Advocate). This skill is designed to rigorously stress-test a design, surface hidden assumptions, identify potential failure modes, and enforce non-functional constraints before implementation. It transforms initial concepts into robust, validated specifications by simulating formal critique and achieving consensus via a mandatory Decision Log.

This skill provides a comprehensive decision framework and set of patterns for architects designing cloud-agnostic applications across major providers like AWS, Azure, and GCP. It details service comparisons (Compute, Storage, DB), multi-cloud patterns (e.g., Best-of-Breed, DR), cost optimization strategies, and structured migration plans, ensuring robust and resilient enterprise deployments.

This skill provides deep integration with Google NotebookLM, enabling users to query uploaded documentation using Gemini. It ensures source-grounded, citation-backed answers, significantly reducing hallucinations. Features include managing the notebook library (add, list, search), handling authentication, and implementing a structured follow-up mechanism for comprehensive research.

Automates capturing chat insights into structured Notion pages by extracting key concepts, organizing content by type, and linking newly created entries into the right wikis and databases for easy discovery.

Prepares structured meeting materials by pulling context from Notion, enriching it with Claude research, and publishing both an internal pre-read and an external agenda so every participant arrives informed.

Searches across your Notion workspace, gathers page content, synthesizes findings, and generates structured research docs with citations and actionable conclusions.

A comprehensive guide for setting up Continuous Integration and Continuous Deployment (CI/CD) workflows for Obsidian plugins using GitHub Actions. This setup automates critical tasks like build validation on every push, manifest consistency checks, version number bumping, and structured GitHub releases, ensuring robust and reliable plugin deployment lifecycles.

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 tool gathers comprehensive diagnostic evidence from an Obsidian vault. It collects details such as app versions, installed plugins, appearance settings, file statistics, and console errors into a structured markdown report. Use it when troubleshooting persistent issues or preparing detailed bug reports for developer support.

A comprehensive, hands-on guide to building a minimal working Obsidian plugin. This skill demonstrates the five core building blocks of any Obsidian plugin, including defining typed settings, creating various command types (palette, editor, callback), implementing modals, and utilizing status bar updates. Perfect for developers new to the Obsidian API or those needing a structured way to learn core plugin patterns.

A comprehensive toolkit for implementing production-grade observability in Obsidian plugins. It provides structured logging with log levels and history, a robust metrics collector (supporting counters, gauges, and timers for performance tracking), and an error tracker with deduplication. Users can build a real-time debug panel to monitor plugin performance, diagnose issues, and set up comprehensive error reporting.