Three subagents that return compressed output to save your main context budget across long sessions. Investigator locates code, builder handles surgical edits on 1-2 files, reviewer audits diffs. The hook is that their tool results come back caveman-style at roughly 60% of vanilla token cost, so you can delegate 20 times instead of exhausting context at 12. Trade prose for structure. If you need architectural commentary or deep rationale, stick with the standard agents. If you just need facts and your session is already running long, this keeps you in the game.

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12
skills.sh installs
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GitHub stars
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last updated
Aug 21, 2026

Install

$ npx -y skills add juliusbrussee/caveman --skill cavecrew --agent claude-code

Installs into .claude/skills of the current project.

Files

Cavecrew = three subagent presets that answer in ultracave voice (tool runs: one status line in, one out; nothing between routine calls). Same job as Anthropic defaults (Explore, edit-style agents, reviewer); difference is the tool-result they return is compressed, so main context shrinks per delegation.

When to use cavecrew vs alternatives

TaskUse
"Where is X defined / what calls Y / list uses of Z"cavecrew-investigator
Same but you also want suggestions/architecture commentaryExplore (vanilla)
Surgical edit, ≤2 files, scope obviouscavecrew-builder
New feature / 3+ files / cross-cutting refactorMain thread, or feature-dev:code-architect if installed
Review diff, branch, or file for bugscavecrew-reviewer
Deep code review with rationale + alternativesCode Reviewer (vanilla) if installed, else main thread
One-line answer you already knowMain thread, no subagent

Rule of thumb: if you'd want the subagent's output in 1/3 the tokens, pick cavecrew. If you'd want prose, pick vanilla.

Why this exists (the real win)

Sponsors

Details

Repository
github.com/juliusbrussee/caveman
Categories
Git & Pull Requests, Documentation, Code Review & Quality, AI & Agent Building, Productivity & Planning
First seen
May 16, 2026

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