Skill UI

Guides teams through creating a complete GitHub Copilot configuration by outlining required instructions, reusable skills, and agent/workflow files tailored to the chosen tech stack and workflow preferences.

This skill transforms unstructured, messy bug input—such as raw error logs, screenshots, voice dictations, and rough notes—into clean, actionable, and professional GitHub issue templates. It extracts necessary details like reproduction steps, expected vs. actual behavior, impact severity, and context, ensuring developers receive perfectly formatted reports ready for immediate action.

Creates a production-ready Model Context Protocol server in Go by scaffolding modules, tools, resources, configuration, README guidance, and basic tests built around the official GitHub SDK for rapid setup.

Bulk migrate repo labels and Project V2 metadata into GitHub org issue fields, converting label-based tags into typed fields, optionally removing old labels, and syncing project field values for cleaner structured issue tracking.

This tool acts as an expert prompt engineer, guiding users through a systematic discovery process to create highly structured, production-ready prompts for AI assistants like GitHub Copilot. It covers defining persona, specifying complex tasks, managing context variables, integrating tools, and enforcing strict output standards, ensuring the resulting prompt is comprehensive and actionable for advanced AI agents.

Automates converting PPTX, PDF, HTML, or Google Slides inputs into a GitHub Pages repo, covering conversion, asset handling, repo creation, and returning the live URL so presentations or HTML content can be shared quickly.