
Cavecrew
- 1 installs
- Updated June 16, 2026
- walthergl66/mis-skills
This is a copy of cavecrew by juliusbrussee - installs and ranking accrue to the original listing.
Helps with ai & agent building tasks.
About
cavecrew is a Claude Code skill for ai & agent building. It helps you ship faster with AI-assisted development.
- cavecrew
- AI & Agent Building
- AI-coding skill
Cavecrew by the numbers
- 1 all-time installs (skills.sh)
- Data as of Jul 7, 2026 (Skillselion catalog sync)
npx skills add https://github.com/walthergl66/mis-skills --skill cavecrewAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 1 |
|---|---|
| Last updated | June 16, 2026 |
| Repository | walthergl66/mis-skills ↗ |
What it does
Helps with ai & agent building tasks.
Files
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-builderwhen you don't already know the file. Spawn investigator first or main thread will eat tokens passing context. - Don't chain
cavecrew-investigator → cavecrew-builderfor a 5-file refactor. Builder will returntoo-big.and you'll have wasted a turn. - Don't ask
cavecrew-reviewerfor "general feedback" — it returns findings only, no architecture opinions. UseCode Reviewerfor 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.
cavecrew
Decision guide. When to delegate to caveman subagents instead of doing the work inline.
What it does
Tells the main thread when to spawn a caveman-style subagent versus the vanilla equivalent. The win: subagent tool-results inject back into main context verbatim, and caveman output is roughly 1/3 the size of vanilla prose. Across 20 delegations in one session, that is the difference between context exhaustion and finishing the task.
Three subagents:
| Subagent | Job | Use when |
|---|---|---|
cavecrew-investigator | Locate code (read-only) | "Where is X defined / what calls Y / list uses of Z" |
cavecrew-builder | Surgical edit, 1-2 files | Scope is obvious, ≤2 files. Refuses 3+ file scope. |
cavecrew-reviewer | Diff/file review | One-line findings with severity emoji |
Use vanilla Explore or Code Reviewer when you want prose, architecture commentary, or rationale. Use main thread directly for one-line answers and 3+ file refactors.
This skill is a decision guide, not a slash command. It activates when the conversation mentions delegation.
How to invoke
Triggers on phrases like "delegate to subagent", "use cavecrew", "spawn investigator", "save context", "compressed agent output".
Example chaining
Locate → fix → verify (most common):
1. cavecrew-investigator returns site list (path:line — symbol — note) 2. Main thread picks 1-2 sites, hands paths to cavecrew-builder 3. cavecrew-reviewer audits the resulting diff
Parallel scout: spawn 2-3 cavecrew-investigator calls in one message with different angles (defs, callers, tests). Aggregate in main.
See also
- `SKILL.md` — full decision matrix and output contracts
- `agents/cavecrew-investigator.md`
- `agents/cavecrew-builder.md`
- `agents/cavecrew-reviewer.md`
- Caveman README — repo overview