Skill UI

This skill analyzes your entire codebase to ensure it is optimized for AI contributions and developer tooling. It automatically generates essential configuration files such as `AGENTS.md`, Copilot instructions, CI workflows, and customizable issue templates. It learns from your existing PR review patterns to tailor the setup precisely to your project's stack. Use it when you need to prepare a repository for advanced AI-assisted development.

This skill pulls the latest GEO-SEO components, including skills, agents, scripts, and schema templates, from the official upstream repository. It performs a detailed comparison (diff) to show all changes—new, modified, or removed—before applying the update. It ensures local customizations are preserved while keeping the toolkit current. Use this whenever you suspect your local setup might be outdated.

Generate a comprehensive, multi-screen mobile onboarding prototype displayed in a side-by-side HTML format. This tool is perfect for designing the initial user experience (UX) flow, covering splash screens, value proposition details, and final sign-in steps. Ideal for apps needing a polished debut experience.

A tool that generates and opens a GitHub Pull Request (PR) dashboard in the browser. Users can specify precise criteria, including date ranges (e.g., 'last 7 days', 'this month') and specific roles (e.g., 'Authored by me', 'Requested reviews'), to view detailed PR activity. Requires GitHub CLI authentication for full functionality.

Use this comprehensive skill to generate, manipulate, and export draw.io diagrams. It converts diagrams into native .drawio files and allows exporting to high-quality formats like PNG, SVG, and PDF. Crucially, it embeds the editable XML data, ensuring the resulting diagrams are professional, scalable, and easily integrated into documents.

A robust toolkit for managing dependencies in Go. It uses code generation to resolve the entire dependency graph at compile time, eliminating the need for runtime containers or reflection. This ensures that all missing dependencies are caught during the build step (`wire ./...`), leading to highly robust, predictable, and type-safe applications. Ideal for building large-scale, enterprise Go microservices.

HyperFrames is a comprehensive framework that treats HTML as the source of truth for video production. It allows users to create complex video compositions, including animated title cards, dynamic captions synced to audio, advanced text-to-speech narratives, and sophisticated audio-reactive visuals (like beat synchronization). The tool manages the entire video workflow, from composition authoring and timing to scene transitions (crossfades, wipes) and final rendering.

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.

A powerful CLI tool for interacting with Atlassian Jira. It allows users to manage the entire issue lifecycle—from creating, viewing, editing, and transitioning issues, to managing sprints, epics, and projects—all directly from the terminal. Essential for developers and project managers needing robust automation and workflow control.

A systematic auditor designed to evaluate the resilience and quality of complex AI workflows. It scans across five critical dimensions—Prompt Quality, Context Efficiency, Tool Health, Architecture Fitness, and Safety—providing a scored report and prioritized, actionable remediation steps. Use this tool to find hidden flaws and ensure robustness before deploying any AI agent or system.

A powerful web toolkit powered by Exa, specifically optimized for scholarly and technical research. This skill handles advanced web searching (semantic lookups, current events) and precise URL content extraction (fetching articles, PDFs, and web pages). It excels in academic contexts, allowing users to bias results toward peer-reviewed papers and specific scholarly domains for high-quality, reliable information gathering.

A comprehensive expert playbook detailing advanced Large Language Model (LLM) prompt injection techniques. Covers direct methods (instruction override, role play), indirect attacks (RAG poisoning, web data manipulation), and sophisticated tool/function calling abuse for data exfiltration and security bypass. Essential for rigorous AI application security testing.