Skill UI

A multi-phase workflow designed to guide users through complex problem analysis and solution design. Instead of providing immediate answers, it systematically enforces deep thinking by reviewing the problem's validity, assessing information gaps, performing root cause analysis, and iterating through solution vetting (self-check and final review). Ideal for complex technical troubleshooting, decision-making, or theoretical discussions requiring rigorous methodology.

DeepXiv is a specialized tool for searching and progressively reading open-access academic papers from preprint servers like arXiv. It allows users to conduct layered literature retrieval—from initial search and brief summaries to viewing structural outlines (head) or reading specific sections—without needing to load the entire document immediately. Ideal for researchers who need focused, efficient access to academic knowledge and trending topics.

This skill provides real-time monocular depth estimation using advanced models like Depth Anything v2. It transforms live camera feeds by generating colorized depth maps, enabling depth overlays and detailed scene understanding. Crucially, it supports a 'privacy mode' that anonymizes visual identities by using depth-only transformation, preserving only the spatial layout and movement patterns for secure monitoring purposes. Optimized for both CoreML on macOS and PyTorch on other platforms.

This skill helps users design robust and optimal software interfaces (APIs) for a module by applying the 'Design It Twice' philosophy. It generates multiple, radically different architectural designs using parallel agents, allowing for comprehensive comparison of trade-offs (e.g., simplicity vs. flexibility, specialized vs. general-purpose). Use this when you need to explore various structural options or compare module shapes before committing to a final design.

This skill acts as an expert Design Systems Lead, analyzing complex technical assets (HTML, CSS, screenshots) from existing projects. It synthesizes a comprehensive 'Semantic Design System' into a structured DESIGN.md file. This output serves as the authoritative 'source of truth' for AI prompting, ensuring that any new UI generated by tools like Stitch adheres perfectly to the established visual language, color palette, and component standards.

Act as a constructive critic and rigorous stress-tester for any idea, proposal, or strategy. This mode systematically challenges underlying assumptions, identifies technical and market edge cases, anticipates diverse stakeholder objections (engineering, leadership, legal), and suggests actionable mitigations. Use it when you need a multi-faceted, robust evaluation to strengthen your plan before committing resources.

This guide provides expert guidance on using directory submissions (for SaaS, AI, and general products) as a foundational layer for digital distribution. Learn how to build a compounding backlink and discovery foundation to improve Domain Rating (DR), increase AI citation rates, and generate high-intent leads, ensuring your submissions drive real conversions, not just vanity links. Covers best practices for content preparation and structuring.

A comprehensive skill for managing and interacting with Amazon Aurora DSQL, a serverless, PostgreSQL-compatible distributed SQL database. It covers direct query execution, robust schema management, safe data migration patterns, multi-tenant isolation, and secure IAM-based authentication. Utilize MCP tools and CLI scripts for full lifecycle database control.

This skill guide provides comprehensive tools and best practices for interacting with Amazon Aurora DSQL. It covers direct query execution, robust schema management, safe data migrations, and implementing multi-tenant isolation patterns in a distributed SQL environment. Use it when developing scalable or distributed database applications.

This utility performs comprehensive diagnostics to verify the correct setup and operational health of Promptbook. It systematically checks the configuration file existence, API key validity via external calls, and recent session activity logs. It is essential for troubleshooting or for users who need to ensure all components are functioning correctly after initial setup or updates.

This skill acts as a rigorous, Socratic interviewer designed to stress-test a proposed plan against an established domain model and existing project documentation. It forces the user to sharpen terminology, resolve cross-cutting dependencies, and identify inconsistencies between stated requirements, code implementations, and documented decisions. It ensures the resulting architecture is precise, consistent, and well-documented by automatically updating the context and generating Architecture Decision Records (ADRs).

This skill provides a comprehensive, multi-phase guide for authors to create a Specification Enhancement Proposal (SEP) adhering to formal governance standards. It guides the user through necessary prerequisites, consensus building, technical interviews (covering breaking changes, security, and prototypes), and structured research phases required to define new protocols or improvements for the Model Context Protocol (MCP).