What problem does it solve? Answering questions about a large codebase requires reading many files and tracing connections across components, which is slow and error-prone when done manually. This Skill orchestrates parallel research agents and produces a single, well-structured research document with file:line evidence. ## Core Features & Use Cases - Parallel sub-agent research: Spawns Explore and general-purpose agents concurrently to investigate different dimensions of a question, then synthesizes their findings. - Scope clarification: Asks targeted questions about scope, depth, and focus before researching ambiguous queries. - Structured research documents: Writes a Markdown artifact with YAML frontmatter, code references, architecture insights, and historical context under context/changes/<change-id>/research.md, with optional GitHub permalinks. - Use Case: Ask "how does authentication work in this repo" and receive a comprehensive document tracing the auth flow with exact file:line references and links to prior decisions. ## Quick Start Invoke the 10x-research skill and ask a research question such as how the Supabase authentication flow is implemented across the codebase.
