What problem does it solve?
It prevents context exhaustion during long coding sessions by helping you delegate investigation, small edits, and diff reviews to caveman-style subagents that return compressed tool results.
Core Features & Use Cases
- Delegation decision guide: Chooses between
cavecrew-investigator, cavecrew-builder, and cavecrew-reviewer based on task size, uncertainty, and desired output format.
- Task-appropriate subagent routing: Uses investigation for “where/what calls” queries, builder for obvious ≤2-file surgical edits, and reviewer for structured diff findings with severity.
- Output-efficiency strategy: Ensures tool results are returned in a compact contract so the main thread preserves more tokens over many delegations.
Example: When you ask “Where is the MQTT MsgID routing logic defined and what calls it?”, use cavecrew-investigator to get a grep-friendly file:line list, then hand 1–2 exact paths to cavecrew-builder for a targeted fix, and finally run cavecrew-reviewer to audit the resulting diff.
Quick Start
Tell the AI: “delegate to cavecrew for a compressed investigation of where X is defined, then review the diff for issues.”