skill
Cavecrew
نبذة
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.
التثبيت
شغل هذا الأمر
npx skills add juliusbrussee/cavemanيعمل مع
خطوات التثبيت
Install with `npx skills add juliusbrussee/caveman`, or clone the repository and copy the `skills/cavecrew` folder into your Claude skills directory.
أسئلة شائعة
كيف أثبت Cavecrew؟
شغل هذا الأمر في الطرفية:
npx skills add juliusbrussee/cavemanمع أي أدوات ذكاء اصطناعي تعمل Cavecrew؟
تعمل مع claude_app، claude_code، claude_api، cursor، codex، windsurf، cline، zed.
من طور Cavecrew؟
طورها juliusbrussee.
هل Cavecrew مجانية؟
نعم، يمكنك استخدامها مجانا.
git clone https://github.com/anthropics/skills && cp -r skills/skills/claude-api ~/.claude/skills/
npx skills add mattpocock/skills
npx skills add mattpocock/skills
npx skills add mattpocock/skills
npx skills add mattpocock/skills
npx skills add microsoft/azure-skills
افحص قبل التثبيت
شغل أي مصدر عبر فحوصاتنا - الظهور في الذكاء الاصطناعي والأمان والأداء واكتشاف التقنيات.
فحص أمني تلقائي للموقع
الأمان
محلل سرعة الصفحة
الأداء
اختبار جودة المحتوى العربي بالذكاء الاصطناعي
جودة المحتوى
مختبر وكلاء الذكاء الاصطناعي
اختبار الذكاء الاصطناعي
كاشف منصة الموقع
الترحيل
تدقيق الظهور في محركات الذكاء الاصطناعي
الظهور في الذكاء الاصطناعي
مولد ملف llms.txt
الظهور في الذكاء الاصطناعي
مقياس سهولة القراءة بالعربية
جودة المحتوى
منشئ البيانات المنظمة
الظهور في الذكاء الاصطناعي
حاسبة تكاليف الذكاء الاصطناعي
اختبار الذكاء الاصطناعي
محلل العناوين العربية
جودة المحتوى