cavecrew

SkillFiles & storage

cavecrew is a skill that tells an AI agent when to delegate work to three subagents instead of doing it inline. The cavecrew-investigator locates code, the cavecrew-builder makes small edits to one or two files, and the cavecrew-reviewer audits diffs. Each subagent returns compressed output, so the main context lasts longer.

Use cavecrew in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add cavecrew and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the cavecrew skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Have an AI agent that supports skills and subagents.

cavecrewStart free

What your AI can do with it

  • Route code searches to cavecrew-investigator instead of working inline
  • Send one or two file edits to cavecrew-builder
  • Hand diff reviews to cavecrew-reviewer
  • Return terse, structured findings instead of prose
  • Use roughly a third of the main context tokens per delegation
  • Decide when to fall back to standard tools or the main thread

Getting started

  1. Have an AI agent that supports skills and subagents.
  2. Add the cavecrew skill to that agent's skill set.
  3. Make sure the three subagents cavecrew-investigator, cavecrew-builder, and cavecrew-reviewer are available.
  4. Ask the agent to locate code, make a small edit, or review a diff and let it choose the subagent.

What this skill tells your AI

The instructions your AI receives, as published by juliusbrussee/caveman in skills/cavecrew/SKILL.md and read by ahel’s review.

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

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
Review diff, branch, or file for bugscavecrew-reviewer
Deep code review with rationale + alternativesCode Reviewer (vanilla)
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)

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.

Signals

GitHub stars
109k
Forks
6k
Last commit
Oct 2026
Installs
335k installs

Others that do the same job

Questions

When should the agent delegate to cavecrew-investigator instead of working inline or using Explore?
Use cavecrew-investigator when the task is locating code. The skill defines when to delegate that search rather than work inline or use Explore.
When should the agent delegate to cavecrew-builder?
Use cavecrew-builder for an edit of one or two files. The skill covers when to delegate that small edit instead of doing it inline.
When should the agent delegate to cavecrew-reviewer?
Use cavecrew-reviewer for diff review. The skill states when to delegate that review rather than handle it in the main thread.
Advanced
Item type
skill
Key
cavecrew-juliusbrussee
Source
github.com/juliusbrussee/caveman