What problem does it solve?
It reduces main-context token usage by delegating code discovery, small edits, and diff review to caveman-style subagents that return compressed, tool-injected outputs.
Core Features & Use Cases
- Decision guide for delegation: Chooses between
cavecrew-investigator, cavecrew-builder, and cavecrew-reviewer versus inline work or vanilla alternatives based on task size and desired output style.
- Scope-appropriate subagent routing: Uses investigator for “where is X / what calls Y / uses of Z”, builder for ≤2 file surgical edits, and reviewer for findings-only diff audits.
- Output contracts for predictable reuse: Provides strict formats the main thread can rely on (e.g.,
path:line listings, edit verification, severity-sorted review).
Quick Start
Ask the AI to delegate code location, edit, and verification work to cavecrew by using the appropriate cavecrew subagent for your task scope.