What problem does it solve? Long coding sessions exhaust the main agent's context window because every subagent result is injected back verbatim, and verbose prose output burns through the budget quickly. This Skill provides a decision guide for when to delegate work to caveman-compressed subagents instead of doing work inline, cutting injected output to roughly one third of vanilla size. ## Core Features & Use Cases - Delegation 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 wanted. - 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 workflows like locate → fix → verify and parallel scouting with multiple investigators. - 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 agent to delegate a code search to the cavecrew investigator instead of running the exploration inline to save context.