cavecrew

JuliusBrussee/caveman · Agent Skill

Three sub-agents for code investigation, editing, and review. They return compressed output, saving context for longer tasks.

Jump to install ↓

Install options

The review-first prompt is selected by default. You can switch to a direct command.

Install with Claude or Codex

Copy the prompt, paste it into Claude, Codex, or another assistant, and it will review the skill page and install it.

I'd like to install this Claude Code skill:
https://github.com/JuliusBrussee/caveman/tree/main/plugins/caveman/skills/cavecrew

Please review the SKILL.md file, verify the skill is legitimate, then copy the skill folder into .claude/skills/ of my project.

Review the source files

1 files Download Zip

Read SKILL.md and any companion files before deciding whether to install. Click a file to preview it.

SKILL.md contents

Original author text · read-only

Cavecrew = three subagent presets that emit caveman output. 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

| Task | Use |

|---|---|

| "Where is X defined / what calls Y / list uses of Z" | cavecrew-investigator |

| Same but you also want suggestions/architecture commentary | Explore (vanilla) |

| Surgical edit, ≤2 files, scope obvious | cavecrew-builder |

| New feature / 3+ files / cross-cutting refactor | Main thread or feature-dev:code-architect |

| Review diff, branch, or file for bugs | cavecrew-reviewer |

| Deep code review with rationale + alternatives | Code Reviewer (vanilla) |

| One-line answer you already know | Main 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)

Subagent tool results get injected into main context verbatim. A vanilla Explore that returns 2k tokens of prose costs 2k tokens of main-context budget every time. The same finding from cavecrew-investigator returns ~700 tokens. Across 20 delegations in one session that's the difference between context exhaustion and finishing the task.

Output contracts

What main thread can rely on per agent:

cavecrew-investigator

<Header>:
- path:line — `symbol` — short note
totals: <counts>.

Or No match. Always file-path-first, line-number-attached, backticked symbols. Safe to grep with path:\d+.

cavecrew-builder

<path:line-range> — <change ≤10 words>.
verified: <re-read OK | mismatch @ path:line>.

Or one of: too-big. / needs-confirm. / ambiguous. / regressed. (terminal first token).

cavecrew-reviewer

path:line: <emoji> <severity>: <problem>. <fix>.
totals: N🔴 N🟡 N🔵 N❓

Or No issues. Findings sorted file → line ascending.

Chaining patterns

Locate → fix → verify (most common):

1. cavecrew-investigator returns site list.

2. Main thread picks 1-2 sites, hands paths to cavecrew-builder.

3. cavecrew-reviewer audits the diff.

Parallel scout (when investigation is broad):

Spawn 2-3 cavecrew-investigator calls in one message (different angles: defs vs callers vs tests). Aggregate in main thread.

Single-shot edit (when site is already known):

Skip investigator. Hand exact path:line to cavecrew-builder directly.

What NOT to do

  • Don't use cavecrew-builder when you don't already know the file. Spawn investigator first or main thread will eat tokens passing context.
  • Don't chain cavecrew-investigator → cavecrew-builder for a 5-file refactor. Builder will return too-big. and you'll have wasted a turn.
  • Don't ask cavecrew-reviewer for "general feedback" — it returns findings only, no architecture opinions. Use Code Reviewer for that.
  • Don't expect prose. Cavecrew output is structured, sometimes terse to the point of cryptic. If a human will read it directly, paraphrase.

Auto-clarity (inherited)

Subagents drop caveman → normal English for security warnings, irreversible-action confirmations, and any output where fragment ambiguity could be misread. Resume caveman after.