What problem does it solve? Answering broad questions about a large codebase requires reading many files and connecting patterns across components, which is slow and error-prone when done sequentially. This Skill orchestrates parallel sub-agents to investigate different research areas concurrently and synthesizes their findings into a single, well-structured research document. ## Core Features & Use Cases - Parallel sub-agent research: Spawns 2-4 concurrent Explore and general-purpose agents, each focused on a specific research dimension with file:line references. - Scope clarification: Asks targeted questions about scope, depth, and focus before launching agents when the query is ambiguous. - Structured research documents: Generates a Markdown research artifact with YAML frontmatter, code references, architecture insights, and historical context under context/changes/<change-id>/research.md. - Use Case: Ask "how does authentication work across the API and worker services" and receive a synthesized document with concrete file:line evidence, architectural patterns, and links to prior decisions. ## Quick Start Invoke the 10x-research skill and ask it to research how a specific feature or system works across the codebase.
