Skill UI

Provides strategic operational guidance for startup VPEs, focusing on maximizing delivery throughput using DORA metrics, optimizing the engineering hiring funnel, designing scalable team structures (squad/tribe), and establishing robust production disciplines. Use when scaling pains hit, delivery slows, or organizational design is unclear.

A throughput-first interrogation tool simulating a VP of Engineering review. It pressure-tests major organizational plans—including delivery commitments, hiring expansion, team structure changes, and production discipline updates—across six critical dimensions: DORA metrics, cycle time analysis, funnel health, team scaling, and operational maturity. Ensures engineering processes are robust before major commitments.

Provides expert guidance on creating, optimizing, and scaling paid advertising campaigns across major platforms like Google Ads, Meta, and LinkedIn. It covers audience targeting, campaign structure, ad copy frameworks (PAS, BAB), creative best practices, and key performance metrics (CPA, ROAS) to ensure efficient customer acquisition and maximize ROI.

This skill acts as an expert author for creating comprehensive, implementation-ready design system guidelines. It covers foundational elements, including brand identity, color tokens, typography scales, and spacing rules. It mandates structured documentation, component state definitions (default, hover, error, etc.), and strict adherence to WCAG accessibility standards, ensuring consistency and usability across all digital products.

This skill helps users create and maintain a comprehensive, foundational product marketing context document. It captures essential information on product overview, target audience, pain points, competitive landscape, and brand voice. By establishing this central document, users ensure all subsequent marketing and product tasks remain consistent and avoid repetitive foundational setup.

A comprehensive guide for designing and implementing robust Infrastructure as Code (IaC) using Terraform or OpenTofu. Covers module hierarchy design, best practices for naming conventions, structuring multi-environment pipelines, advanced testing strategies (native tests, Terratest, static analysis), and integrating security scanning (trivy, checkov) into CI/CD workflows.

This skill provides a scaffold for building complex, composable recommendation, ranking, and feed pipelines. It implements the robust six-stage pattern (Source→Hydrator→Filter→Scorer→Selector→SideEffect), which is the industry standard for determining "top K items." Use it for social feeds, content CMS ranking, RAG reranking, or any system needing complex candidate prioritization.

A specialized intelligence tool for comprehensive patent prior-art and landscape analysis. Unlike generic searches, this skill forces commitment to one of five critical sub-use-cases (Novelty Search, Freedom-to-Operate, Competitive Landscape, etc.) before conducting searches across major patent databases (Google Patents, Espacenet, USPTO). It outputs a detailed, editable report containing claim-aware analysis, risk flags, and strategic recommendations.

A powerful PreToolUse hook designed to act as a safety net during code writing sessions. It automatically scans both file paths and content for 12 common security anti-patterns, including SQL injection, XSS, command injection (Node.js/Python), and unsafe deserialization. It blocks the writing operation and provides immediate warnings, ensuring adherence to secure coding practices when handling sensitive code like authentication or payment logic.

A comprehensive reference for the `uc` CLI, designed for managing decentralized, self-hosted clusters. Use this skill to deploy services via Docker Compose, configure advanced networking, and manage infrastructure components like machines, volumes, and ports. Supports Caddy ingress routing, WireGuard networking, and scaling across peer machines, making it ideal for robust, highly available self-hosting environments.

This advanced skill manages complex, large-scale development tasks by coordinating multiple, specialized subagents in parallel. It systematically decomposes the goal into isolated missions, manages resource quotas (token usage), and handles error recovery across multiple files and components. Ideal for large feature builds, system refactoring, or complex applications requiring multiple, concurrent roles (Planner, Builder, Tester).

This powerful router analyzes complex document types (scanned, medical, table-heavy, etc.) and determines the optimal conversion pipeline (tools, flags, cleanup) to extract data into various formats like Markdown, JSON, or DOCX. It goes beyond simple text extraction by prioritizing the preservation of document structure, relational data, and high fidelity, ensuring the generated output is accurate for downstream machine processing.