Skill UI

This skill provides advanced architectural guidelines for generating premium, award-level web experiences. It guides code generation beyond basic HTML/CSS, focusing on creating immersive digital environments. Key areas include sophisticated motion design (scroll-driven narratives, micro-interactions), establishing strong visual identities (e.g., Brutalism, Glassmorphism), and enforcing strict performance best practices like hardware acceleration and accessibility compliance.

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.

Roundup gathers GitHub, calendar, email, and chat data from your configured sources and synthesizes it into status briefings that match your tone, audience, and requested timeframe.

Analyzes a GitHub repository’s dependency tree via deps.dev, resolves each package to GitHub projects, checks health data, and verifies sponsorship links to show where to support maintainers.

Scans repository context and chat history to recommend awesome-copilot Custom Agent files that are missing or outdated locally, outlines relevance/rationale, and waits for user approval before installing or updating.

Suggests relevant GitHub Copilot instructions by comparing awesome-copilot guidance with the local repo context, identifying duplicates, and flagging outdated files.

Suggests relevant GitHub Copilot skills from the awesome-copilot repo that match current repository patterns and chat history, flags duplicates, and highlights outdated local skills for targeted updates.

Generates concise TLDR-format summaries for GitHub Copilot customization files, MCP server docs, or related URLs, ensuring actionable examples and context-aware verbosity for inline or chat view sessions.

A comprehensive methodology for pinpointing the root cause of complex bugs, regressions, or unexpected behavior in large codebases. Techniques include binary search debugging, Git bisect for tracking regressions across commits, strategic data/control flow logging, component isolation, and advanced breakpoint strategies (conditional breakpoints, watch expressions). Ideal for scenarios where the bug source is unclear or difficult to reproduce.

This comprehensive guide adapts the Conventional Commits specification for Chinese development teams. It outlines best practices for structuring commit messages, covering types (feat, fix, perf), subjects, detailed bodies, and handling breaking changes. By enforcing a uniform standard, this skill facilitates automated changelog generation and maintains a clean, readable, and traceable project history.

This comprehensive guide provides a complete set of Git workflow standards specifically adapted for Chinese development environments, covering Gitee, Coding, and Jihuo GitLab. It addresses common pain points like unstable foreign platform access, non-localized CI/CD, and inconsistent commit messages. The guide covers multiple workflow models (Trunk-Based, Git Flow), branch naming conventions, Chinese Conventional Commits, and CI/CD configurations for major domestic platforms.