Skill UI

LWC is a durable memory system for coding agents that preserves project decisions, code structure, and verified context across sessions. It utilizes a physical Wiki document graph and a CodeGraph index to enable source-grounded recall. This tool helps agents search, update, and maintain knowledge without losing critical information during future coding-agent interactions.

This skill acts as a documentation architect to generate structured wiki catalogues and onboarding guides directly from codebases. It scans repository file trees, detects technologies, and creates hierarchical documentation including principal-level guides, getting started instructions, and deep dive architectures. Every section cites specific files to ensure accuracy and relevance for developers.

This skill enables the creation and maintenance of highly structured, configurable research wikis. It manages source provenance, compiling raw source materials into organized concept pages, index maps, and derived artifacts. Ideal for systematically documenting complex knowledge bases, such as research notes, product documentation, or domain studies, ensuring full traceability and consistency.

Generate structured changelogs from git history. Groups commits by time period, classifies features, fixes, refactors and breaking changes, and writes concise user-facing release notes with migration hints.

Generate comprehensive onboarding documentation for software engineers ranging from newcomers to principals. This skill creates two complementary guides: a principal-level overview covering architecture, design principles, and decision logs, and a zero-to-hero contributor guide with setup instructions and workflows. It automatically detects programming languages and includes Mermaid diagrams for clarity.

Generates comprehensive technical documentation pages with evidence-based depth, including Mermaid diagrams, citations, and VitePress frontmatter. Ideal for documenting components, systems, or features with traceable code paths.

Answer repository questions grounded entirely in source code evidence. Searches and reads relevant files, then synthesizes answers with inline citations. Useful for understanding specific files, functions, or components, and for answering how or where questions about the codebase.

Expert software engineer and systems analyst skill for deep codebase understanding, tracing actual code paths, and providing evidence-based architectural analysis. Use when users need to understand complex systems spanning many files or require pattern investigation.

This skill transforms generated wiki Markdown files into a polished VitePress static site featuring a dark theme and interactive Mermaid diagrams. It handles complex configuration for Mermaid rendering, including CSS overrides and inline style fixes to ensure diagrams display correctly in dark mode. Additionally, it adds click-to-zoom functionality for diagrams and performs necessary post-processing on Markdown files before building. Use this when packaging wiki content as a browsable HTML site.

Use YYLO Ledger wiki records to manage durable project knowledge. Search, create, and update records safely without direct storage edits. Distinguish between wiki, tasks, and artifacts. Ensure revision safety and data integrity using CLI commands for version control.