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Cavecrew

  • 217k installs
  • 93.6k repo stars
  • Updated July 26, 2026
  • juliusbrussee/caveman

cavecrew is a decision guide for delegating to three caveman-compressed subagent presets (investigator, builder, reviewer) that emit output ~60% smaller than vanilla agents.

About

cavecrew is a guide for delegating to token-efficient subagents when exploring codebase, making surgical edits, or reviewing diffs. The three subagent presets (investigator, builder, reviewer) emit compressed output that returns ~60% fewer tokens than vanilla agents, preserving context budget across long sessions. Developers use cavecrew when context exhaustion is a risk in multi-turn exploration or refactoring work.

  • Three subagent presets (investigator, builder, reviewer) with compressed token-efficient output
  • Investigator returns file:line-symbol locations; builder reports surgical edits; reviewer returns emoji-coded findings
  • Compression saves ~60% tokens vs vanilla agents over long multi-delegation sessions

Cavecrew by the numbers

  • 217,488 all-time installs (skills.sh)
  • +17,999 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #4 of 1,382 Code Review & Quality skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
At a glance

cavecrew capabilities & compatibility

Capabilities
code exploration · surgical editing · diff review
npx skills add https://github.com/juliusbrussee/caveman --skill cavecrew

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Listed on Skillselion
Installs217k
repo stars93.6k
Security audit3 / 3 scanners passed
Last updatedJuly 26, 2026
Repositoryjuliusbrussee/caveman

How do you delegate agent tasks without filling context?

Delegate surgical code changes and reviews to token-efficient subagents preserving context for long sessions

Who is it for?

Long development sessions where context exhaustion is a risk and compressed subagent output will preserve token budget

Skip if: Exploratory conversations where prose feedback is more valuable than compressed location-lists or structure-only diffs

When should I use this skill?

Needing to locate code, make surgical edits, or review diffs while preserving context for multiple turns

What you get

Compressed subagent tool results, delegated code locations, 1–2 file edits, and diff review summaries in the main thread.

  • compressed subagent results
  • delegated edits
  • diff reviews

By the numbers

  • Defines 3 subagent presets: investigator, builder, reviewer
  • Compresses subagent tool results ~60% smaller than vanilla Explore

Files

SKILL.mdMarkdownGitHub ↗

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.

Related skills

Forks & variants (1)

Cavecrew has 1 known copy in the catalog totaling 1 installs. They canonicalize to this original listing.

How it compares

Choose cavecrew when context preservation via compressed subagent delegation matters; use default Explore for one-off lookups.

FAQ

What subagents does cavecrew provide?

cavecrew defines three presets: cavecrew-investigator locates code, cavecrew-builder performs 1–2 file edits, and cavecrew-reviewer reviews diffs. The main agent chooses based on task type.

How much context does cavecrew save?

cavecrew emits caveman-compressed subagent output so tool results injected into the main thread are approximately 60% smaller than standard Explore responses, extending session length.

Is Cavecrew safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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