What problem does it solve? Subagent results are injected verbatim into the main conversation context, so verbose agent output quickly exhausts the context window during long coding sessions. This Skill provides a decision guide for when to delegate to three compressed-output subagents (investigator, builder, reviewer) versus working inline or using vanilla agents, keeping main-context usage low across many delegations. ## Core Features & Use Cases - Delegation decision matrix: Maps task types (locate code, surgical edit, diff review) to the right subagent or to vanilla agents like Explore and Code Reviewer when prose is preferred. - Three subagent presets: cavecrew-investigator returns path:line site lists, cavecrew-builder performs 1-2 file edits with verified results, and cavecrew-reviewer emits severity-tagged findings with totals. - Chaining patterns: Supports locate-fix-verify pipelines, parallel scouting with multiple investigators, and single-shot edits when the site is already known. - Use Case: During a large refactor, 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 consuming a fraction of the context a vanilla agent would. ## Quick Start Ask the assistant to delegate code location, a small edit, or a diff review to a cavecrew subagent instead of doing it inline.