A 100/100
Caveman
A Claude Code skill that trims tokens hard - why use many token when few token do trick.
skill claude-code productivity
★ 68k stars 14d ago last commit MIT license
Why this grade
synced Jun 3 Maintenance Maintained within the last few months - healthy +55/55
Adoption 68,281 stars - top-tier adoption +45/45
Total score 100/100
A 80+ B 60-79 C 40-59 D below 40
Computed only from public GitHub signals - no paid rankings, no thumb on the scale. How grading works →
Install via CLI No vendor CLI - this clones the source repo. Follow the repo's readme to place it in your skills folder.
git clone https://github.com/JuliusBrussee/caveman skills/cavecrew/SKILL.md
---
name: cavecrew
description: >
Decision guide for delegating to caveman-style subagents. Tells the main
thread WHEN to spawn `cavecrew-investigator` (locate code), `cavecrew-builder`
(1-2 file edit), or `cavecrew-reviewer` (diff review) instead of doing the
work inline or using vanilla `Explore`. Subagent output is caveman-compressed
so the tool-result injected back into main context is ~60% smaller — main
context lasts longer across long sessions.
Trigger: "delegate to subagent", "use cavecrew", "spawn investigator/builder/reviewer",
"save context", "compressed agent output".
---
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.
A single, sharply-scoped skill aimed at cutting token usage on Claude Code sessions. The kind of narrow, do-one-thing-well skill that is easy to evaluate and easy to adopt.
Why it is here
Token cost is a real, recurring pain for heavy users, and a focused skill that addresses it is genuinely useful. A good example of a single-purpose skill done with personality.