메뉴
Use when the user asks how caveman mode works, what intensities exist, what the slash commands are, or wants a quick-reference card before turning the mode on.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | caveman-help |
| description | Use when the user asks how caveman mode works, what intensities exist, what the slash commands are, or wants a quick-reference card before turning the mode on. |
| license | MIT |
| metadata | {"author":"ai-playbook (ported from JuliusBrussee/caveman, MIT)","version":"1.0"} |
A one-shot reference card. Print and stop. Do not enter caveman mode just because this skill fires.
User intent triggers (any of):
Print exactly the block below, verbatim, then stop. Do not add commentary, do not enter caveman mode, do not adjust based on the user's tone.
caveman mode — quick reference
WHAT
Compress agent output ~65-75%. Brain unchanged. Mouth smaller.
Only affects output tokens, not thinking tokens.
INTENSITIES
lite — drop filler/hedging, keep articles + sentences (~25% saving)
full — drop articles, fragments OK (~65% saving, default)
ultra — abbreviate prose, arrows for causality (~80% saving)
SLASH COMMANDS
/caveman [mode] switch mode for this session
/caveman-compress F shrink markdown file F in place (backup at F.original.md)
/caveman-commit terse Conventional Commit subject
/caveman-review one-line PR review w/ severity emoji
/caveman-help this card
PROJECT TOGGLE (persistent across sessions)
python -m scripts.caveman status [--json]
python -m scripts.caveman on --mode full --components response_style,mcp_shrink
python -m scripts.caveman off [--keep-backups]
python -m scripts.caveman rollback
STOP TRIGGERS
"stop caveman", "normal mode", "be verbose", "/caveman off"
AUTO-CLARITY (mode pauses automatically for)
security warnings · irreversible actions · multi-step sequences · confused user
NOT COMPRESSED
code blocks · file paths · URLs · tool inputs · commit/PR bodies (unless opted in)
DOCS
docs/concepts/caveman-mode.md — what & why
docs/runbooks/caveman-toggle.md — how to use
docs/operations/caveman-architecture.md — UI contract
python -m scripts.caveman on or /caveman.Use when the user wants the laziest solution that actually works — types /ponytail, says "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni", "do less", or "shortest path", or complains about over-engineering, bloat, boilerplate, or unnecessary dependencies. Supports intensity levels lite, full, ultra (default). Pairs with caveman, which compresses prose, not code.
Use when the user wants a whole-repo audit for over-engineering — says "audit this codebase", "audit for over-engineering", "what can I delete from this repo", "find bloat", or invokes /ponytail-audit. Like ponytail-review but scans the entire tree, not a diff. One-shot report, applies no fixes. Gated by the ponytail audit_ponytail component.
Use when the user wants to harvest every `ponytail:` comment in the codebase into a tracked debt ledger — says "ponytail debt", "/ponytail-debt", "what did ponytail defer", "list the shortcuts", "ponytail ledger", or "what did we mark to do later". One-shot report, changes nothing. Gated by the ponytail debt_ponytail component.
Use when the user asks how ponytail mode works, what intensity levels exist, what the slash commands are, how to toggle it, or wants a quick-reference card before turning the mode on. One-shot display, not a persistent mode. Trigger: /ponytail-help, "ponytail help", "what ponytail commands", "how do I use ponytail".
Use when the user wants a code review focused exclusively on over-engineering — says "review for over-engineering", "what can we delete", "is this over-engineered", "simplify review", or invokes /ponytail-review. Complements correctness/security review; this one only hunts complexity in the current diff. Gated by the ponytail review_ponytail component.
Use when navigating an unfamiliar codebase, tracing how code connects (callers, dependencies, the blast radius of a change), or whenever the repo ships a graphify-out/graph.json knowledge graph. Query the graph before grepping/reading raw source for orientation.