What problem does it solve? Long coding sessions exhaust the main context window because vanilla subagent results are injected back verbatim as verbose prose. This Skill tells the main thread when to delegate to caveman-compressed subagents so each delegation costs roughly one third of the tokens. ## Core Features & Use Cases - Decision Matrix: Maps task types to the right agent — cavecrew-investigator for locating code, cavecrew-builder for surgical 1-2 file edits, cavecrew-reviewer for diff audits, or vanilla agents when prose and rationale are needed. - Output Contracts: Defines exact structured formats each subagent returns (path:line findings, verified edit confirmations, severity-tagged review findings) so the main thread can parse results reliably. - Chaining Patterns: Documents locate → fix → verify workflows, parallel investigator scouting, and single-shot edits. - Use Case: During a long refactoring session, spawn cavecrew-investigator to find all call sites of a function, hand the top two paths to cavecrew-builder for the edit, then have cavecrew-reviewer audit the diff — all while keeping main-context usage minimal. ## Quick Start Ask the assistant to delegate code investigation to a cavecrew investigator subagent to save context before starting a multi-file task.