Skill UI

Generates a low-fidelity, hand-drawn wireframe sketch perfect for communicating early design concepts. It meticulously mimics the look of marker drawings, sticky notes, and whiteboard scribbles on graph paper, ensuring the output reads like a preliminary ideation sketch rather than a finished UI. Ideal for use when the brief specifies 'lo-fi,' 'sketch,' or 'whiteboard.'

This powerful skill analyzes various document types (PDF, Word, RTF) and web URLs. It generates a detailed report where every factual claim made in the analysis is accompanied by an inline screenshot from the source material, highlighting the exact cited text. This ensures users can visually verify the accuracy and source of every piece of information.

A comprehensive guide and toolset for generating OpenAPI/Swagger documentation for Go APIs. By using annotations (@Summary, @Param, @Success, etc.), developers can treat documentation as a formal contract. Supports multiple popular Go frameworks (Gin, Echo, Fiber, net/http), defines complex security schemes (JWT, OAuth2), and guides the entire lifecycle from setup to auditing.

A skill designed to generate cinematic, short-form video clips (3-10 seconds) suitable for marketing reveals, product teasers, or ambient loops. It focuses on generating one cohesive shot per request, ensuring high quality and narrative focus for modern video models like Seedance, Kling, and Veo. Ideal for creating impactful, bite-sized visual content.

This skill acts as a curated guide and index for AI/ML applications across diverse scientific domains, including biology, chemistry, climate science, and genomics. It helps researchers discover high-signal datasets, state-of-the-art models, and interactive demos hosted on platforms like Hugging Face, allowing for advanced tasks such as drug discovery, protein design, or climate modeling.

This skill analyzes the comprehensive commit history between two branches to generate a concise, objective, and highly structured Pull Request (PR) description. It automatically groups changes by domain, summarizing the purpose, technical notes, and user impact, ensuring consistency and minimizing manual documentation effort.

This skill generates comprehensive, tailored instruction files for AI coding assistants like GitHub Copilot and Claude. It supports multiple strategies (flat or nested) and is specifically designed for managing complex monorepos by creating area-scoped instructions using `applyTo` globs. Use it to standardize AI tooling usage across large codebases.

This skill analyzes raw git diffs or change descriptions to generate clear, story-driven commit messages. It strictly adheres to the Conventional Commits specification, ensuring that messages thoroughly explain *why* a change was made, not just *what* changed. It is ideal for writing meaningful commit history, preparing pull requests, or summarizing complex code changes for team collaboration.

This assistant guides users through managing Azure resources entirely via the command line using the Azure CLI (`az`). It identifies the correct commands, prompts for missing required parameters (like resource groups or locations), constructs the full command sequence, executes the action, and diagnoses any output errors to ensure successful deployment and configuration of services across Compute, Networking, and other Azure domains.

A systematic, multi-phase guide for tackling hard bugs and performance regressions. It mandates building a robust feedback loop (e.g., failing tests, harnesses), formulating falsifiable hypotheses, targeted instrumentation, and rigorous regression testing. This methodology ensures that debugging efforts are structured, efficient, and highly reproducible, making it ideal for complex software defects.

Performs a comprehensive external audit of a deployed repository's state, going beyond simple code review. It checks for critical production gaps, including RLS misconfigurations, webhook idempotency issues, secret exposure, deployment health, and prompt injection vulnerabilities. Ideal for pre-launch gates and ensuring code stability before going live.

Manage global n8n instances, runtime state, tunnels, API keys, credentials, projects, and workflow presentation links. Useful for setting up local Docker, connecting remote instances, and controlling n8n execution environments.