cavecrew
An agent skill by JuliusBrussee, from JuliusBrussee/caveman. Tags: codebase, developer-tools, multi-agent, review.
What it does
When to delegate to `cavecrew-investigator` (locate code), `cavecrew-builder` (1-2 file edit) or `cavecrew-reviewer` (diff review) instead of working inline or using `Explore`. Their output is compressed, so main context lasts longer.
Install
With the skills CLI, which installs into Claude Code, Codex, Cursor and other agents:
npx skills add JuliusBrussee/caveman --skill cavecrew
Or copy the skill folder into Claude Code's skills directory by hand (~/.claude/skills for every project, or .claude/skills inside one):
git clone --depth 1 https://github.com/JuliusBrussee/caveman
cp -r caveman/plugins/caveman/skills/cavecrew ~/.claude/skills/cavecrew
Safety box score
Not rated yet. A safety box score grades what a skill and its scripts can reach on the machine of whoever installs it, across eight categories from shell execution to secrets access. Anyone can request one from this page; it is saved for everyone. How the score works.
Source
- Repository
- JuliusBrussee/caveman (all skills from this repository)
- Path
- plugins/caveman/skills/cavecrew/SKILL.md
- Branch
- main
- Collection
- caveman
- Updated
- 2026-10-05
Related skills
- code-improver — Runs an autonomous review-and-fix improvement loop over any code target — a skill, plugin, module, or directory — using a reviewer the user names.
- interrogate — Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart".
- libafl — Builds custom fuzzers with LibAFL, the modular Rust fuzzing library.
- reflect — Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill.
- review-plugin-submission — Audit a Cursor plugin for marketplace readiness. Use when validating manifests, component metadata, discovery paths, and submission quality before publishing.
- stitch-loop — Teaches agents to iteratively build websites using Stitch with an autonomous baton-passing loop pattern