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.

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Scans repository context and chat history to recommend awesome-copilot Custom Agent files that are missing or outdated locally, outlines relevance/rationale, and waits for user approval before installing or updating.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instructions by comparing awesome-copilot guidance with the local repo context, identifying duplicates, and flagging outdated files.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from the awesome-copilot repo that match current repository patterns and chat history, flags duplicates, and highlights outdated local skills for targeted updates.

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 guide provides a comprehensive framework for adopting Conventional Commits using Mandarin Chinese. It details rules for commit types (feat, fix, perf, etc.), structuring the subject, body, and footer messages. Furthermore, it covers integrating automated tools like husky, commitlint, and conventional-changelog to enforce standardized, professional, and traceable commit workflows for Chinese development teams.

A comprehensive guide providing best practices for Git workflows, covering adaptation strategies for major Chinese platforms (Gitee, Coding.net, etc.), branch naming conventions, standardized commit messaging (Chinese Conventional Commits), and CI/CD integration across various domestic environments. Helps streamline development processes for Chinese teams.

This skill guides developers to finalize a development branch after testing passes. It involves verifying tests, detecting the git environment, presenting integration options (merge, PR, keep), executing the chosen action, and cleaning up worktrees. It ensures safe integration and prevents accidental data loss during branch management.

This skill involves dispatching a code review sub-agent to validate work quality before merging or completing tasks. It helps identify issues early, ensuring critical and important problems are fixed. Use git SHAs to define the scope and follow feedback guidelines for critical, important, and minor issues.