Skill UI

This methodology provides a structured framework for stress-testing critical business assumptions before they fail in the market. Learn to systematically identify, challenge, and model the downside risk associated with market size, revenue projections, competitive moats, and customer behavior. It moves beyond optimism to achieve crucial business calibration.

This tool systematically audits a project's dependencies to identify potential supply chain security risks. It evaluates critical factors such as maintenance status, contributor count, popularity, and the presence of high-risk features. It is ideal for pre-security audits, assessing the overall attack surface, and mitigating risks before deployment.

This guide provides a comprehensive overview of the core concepts of Three.js, the leading JavaScript library for WebGL 3D rendering. It covers setting up the entire 3D environment, including the Scene, Camera types (Perspective, Orthographic), and the WebGLRenderer. Users will learn to handle object hierarchies, apply transforms (position, rotation, scale), and manage complex rendering settings like lighting, shadows, and environment maps. Essential for any developer starting a WebGL project.

Functions as a Chief Security Architect assistant that performs STRIDE/PASTA threat modeling, OWASP checks, Red/Blue team simulations and incident response playbooks to harden any project before production.

Agent Analytics delivers CLI-first tracking, experimentation, and optimization so AI agents can monitor site traffic, run A/B tests, and measure funnels consistently across projects.

This agent ensures seamless continuity across multiple work sessions. It automatically captures, compresses, and stores critical project information—including summarized discussions, architectural decisions, pending tasks, modified files, and technical discoveries. When a new session starts, it loads a comprehensive briefing, allowing users to quickly resume work without losing track of the project's current state.

A comprehensive master guide for developers looking to embed interactive 3D scenes created in Spline.design into modern web projects. It provides specific integration methods for various frameworks, including React, Next.js, Vue, and vanilla JavaScript, ensuring optimal performance and runtime control for stunning UI/UX experiences.

A powerful code review utility designed for SwiftUI projects. It comprehensively analyzes code quality, ensuring adherence to modern Swift APIs, optimal performance, robust data flow management, and compliance with Apple's Human Interface Guidelines and accessibility standards (like VoiceOver and Dynamic Type). Use this tool when writing, refactoring, or reviewing complex SwiftUI implementations to maintain high code hygiene and maintainability.

Automates project-aware diary maintenance by recording status from conversations, refreshing context, extracting global and project progress, and syncing to Notion/Obsidian while enforcing strict workflow steps.

A comprehensive domain orchestrator designed to manage the entire project delivery lifecycle. It can route specific project management inquiries (e.g., Jira permissions, sprint velocity) to specialized sub-skills, or execute complex, goal-oriented workflows through a gated agentic loop. This process pulls live data from Jira/Atlassian, runs deterministic analytics, and verifies every step to ensure auditability and successful closure.

A comprehensive guide to implementing Clean Architecture patterns for both Android and Kotlin Multiplatform (KMP) projects. It covers robust module structuring, dependency inversion rules, defining UseCases and Repositories, and designing the data layer using technologies like Room, SQLDelight, and Ktor. Learn how to separate concerns, maintain platform independence, and manage complex data flows.

This utility converts a single, high-level objective into a comprehensive, step-by-step build plan suitable for complex, multi-agent, or multi-session engineering projects. It automatically handles dependency mapping, detects parallel steps, and structures each step with self-contained context briefs, ensuring any new agent can execute it without prior knowledge. Ideal for large-scale refactoring or feature development spanning multiple PRs.