What problem does it solve? Answering questions about a large codebase requires reading many files and connecting patterns across components, which is slow and error-prone when done manually. This Skill orchestrates parallel sub-agents to investigate different aspects of a codebase concurrently and synthesizes findings into a structured, citable research document. ## Core Features & Use Cases - Parallel sub-agent research: Spawns 2-4 concurrent Explore and general-purpose agents to search files, trace code paths, and analyze architecture with file:line references. - Scope clarification: Asks targeted questions about scope, depth, and focus before launching research when the query is ambiguous. - Structured research documents: Generates a Markdown research artifact with YAML frontmatter, code references, architecture insights, historical context, and optional GitHub permalinks, stored under context/changes/<change-id>/research.md. - Use Case: Ask how authentication works in your repository; the Skill decomposes the question, dispatches agents to map the auth flow and related decisions, then delivers a research document with linked code references. ## Quick Start Invoke the 10x-research skill and ask a research question such as how the API endpoints in this repository handle authentication.
