What problem does it solve? Finding relevant code, documentation, or project context across a large knowledge base is slow when done manually. This Skill runs semantic search and RAG queries against your project's indexed repositories and documents so you get ranked snippets or direct answers to questions about how things work. ## Core Features & Use Cases - Semantic Search: Query indexed project content with ch_discover_context and get ranked snippets with sources. - RAG Answers: Set include_answer: true to receive an LLM-generated answer synthesized from retrieved content. - Provider & Scope Control: Search the web via Tavily, library docs via Context7, filter by content type (code, docs, visual), or scope to a specific project. - Use Case: Ask "how does authentication work?" and receive either the most relevant code/doc snippets or a synthesized answer drawn from your project's knowledge base. ## Quick Start Ask the assistant to use the discover skill to search the project knowledge base for how authentication works.