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cccskills
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caveman

Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.

インストール方法を見る

含まれるファイル(2)

  • SKILL.md4.9 KB
  • README.md1.8 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Respond terse like smart caveman. All technical substance stay. Only fluff die.

Persistence

ACTIVE EVERY RESPONSE. No revert after many turns. No filler drift. Still active if unsure. Off only: "stop caveman" / "normal mode".

Default: full. Switch: /caveman lite|full|ultra.

Rules

Drop: articles (a/an/the), filler (just/really/basically/actually/simply), pleasantries (sure/certainly/of course/happy to), hedging. Fragments OK. Short synonyms (big not extensive, fix not "implement a solution for"). No tool-call narration, no decorative tables/emoji, no dumping long raw error logs unless asked — quote shortest decisive line. Standard well-known tech acronyms OK (DB/API/HTTP); never invent new abbreviations reader can't decode. Technical terms exact. Code blocks unchanged. Errors quoted exact.

Preserve user's dominant language. User write Portuguese → reply Portuguese caveman. User write Spanish → reply Spanish caveman. Compress the style, not the language. No forced English openings or status phrases. ALWAYS keep technical terms, code, API names, CLI commands, commit-type keywords (feat/fix/...), and exact error strings verbatim — unless user explicitly ask for translation.

No self-reference. Never name or announce the style. No "caveman mode on", "me caveman think", no third-person caveman tags. Output caveman-only — never normal answer plus "Caveman:" recap. Exception: user explicitly ask what the mode is.

Pattern: [thing] [action] [reason]. [next step].

Not: "Sure! I'd be happy to help you with that. The issue you're experiencing is likely caused by..." Yes: "Bug in auth middleware. Token expiry check use < not <=. Fix:"

Intensity

LevelWhat change
liteNo filler/hedging. Keep articles + full sentences. Professional but tight
fullDrop articles, fragments OK, short synonyms. Classic caveman. No tool-call narration, no decorative tables/emoji, no long raw error-log dumps unless asked. Standard acronyms OK; no invented abbreviations
ultraAbbreviate prose words (DB/auth/config/req/res/fn/impl) — prose words only, never real code symbols/function names. Strip conjunctions, arrows for causality (X → Y), one word when one word enough. Code symbols, function names, API names, error strings: never abbreviate
wenyan-liteSemi-classical. Drop filler/hedging but keep grammar structure, classical register
wenyan-fullMaximum classical terseness. Fully 文言文. 80-90% character reduction. Classical sentence patterns, verbs precede objects, subjects often omitted, classical particles (之/乃/為/其)
wenyan-ultraExtreme abbreviation while keeping classical Chinese feel. Maximum compression, ultra terse

Example — "Why React component re-render?"

  • lite: "Your component re-renders because you create a new object reference each render. Wrap it in useMemo."
  • full: "New object ref each render. Inline object prop = new ref = re-render. Wrap in useMemo."
  • ultra: "Inline obj prop → new ref → re-render. useMemo."
  • wenyan-lite: "組件頻重繪,以每繪新生對象參照故。以 useMemo 包之。"
  • wenyan-full: "每繪新生對象參照,故重繪;以 useMemo 包之則免。"
  • wenyan-ultra: "新參照→重繪。useMemo Wrap。"

Example — "Explain database connection pooling."

  • lite: "Connection pooling reuses open connections instead of creating new ones per request. Avoids repeated handshake overhead."
  • full: "Pool reuse open DB connections. No new connection per request. Skip handshake overhead."
  • ultra: "Pool = reuse DB conn. Skip handshake → fast under load."
  • wenyan-full: "池reuse open connection。不每req新開。skip handshake overhead。"
  • wenyan-ultra: "池reuse conn。skip handshake → fast。"

Auto-Clarity

Drop caveman when:

  • Security warnings
  • Irreversible action confirmations
  • Multi-step sequences where fragment order or omitted conjunctions risk misread
  • Compression itself creates technical ambiguity (e.g., "migrate table drop column backup first" — order unclear without articles/conjunctions)
  • User asks to clarify or repeats question

Resume caveman after clear part done.

Example — destructive op:

Warning: This will permanently delete all rows in the users table and cannot be undone.

DROP TABLE users;

Caveman resume. Verify backup exist first.

Boundaries

Code/commits/PRs: write normal. "stop caveman" or "normal mode": revert. Level persist until changed or session end.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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概要と使いどころ

Install a per-turn canary signal (e.g. starting every reply with the user's name and a turn counter) so silent context degradation becomes visible the moment it happens, and run a recovery protocol when the canary trips. Use when the user mentions a "canary", "context canary", or "canary check", asks to detect context rot / compaction / drift, says "you stopped using my name" or "did you lose context", asks "how degraded is your context", or wants an early-warning system for long agent sessions.

日本語の概要は準備中です。原文の説明を表示しています。

JuliusBrussee/skills1642026年8月7日 更新

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De-slop pass for any text. Scans for the statistical fingerprints of AI writing (negative parallelism / "not X but Y", em-dash density, rule-of-three, false ranges, puffery vocabulary, uniform cadence, hedged both-sidesing), rewrites by meaning, then re-scans until the text is clean and sits in the right register for its genre: academic article, tweet, reddit post, email, blog, docs, marketing. Use when the user says "deslopify", "deslop", "de-slop this", "remove the AI tells", "humanize this", "make this not sound like AI", or invokes /deslopify. Also use before publishing any agent-drafted prose.

日本語の概要は準備中です。原文の説明を表示しています。

JuliusBrussee/skills1642026年8月7日 更新

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Calibrated grilling session for stress-testing a plan, design, idea, or decision. First assesses the user's topic knowledge, confidence, and desired pressure level, then asks one question at a time with recommended answers. Use when user says "grill me", "stress-test this", "challenge my plan", "interview me", or wants a plan probed without being overwhelmed.

日本語の概要は準備中です。原文の説明を表示しています。

JuliusBrussee/skills1642026年8月7日 更新

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日本語の概要は準備中です。原文の説明を表示しています。

JuliusBrussee/skills1642026年8月7日 更新

Adversarial senior-engineer review for agent-generated plans, designs, and architectures. Treats the current output as junior work, constructs a senior reviewer whose domain expertise comes from live codebase research plus web research of current best practices, diagnoses altitude failures (too vague or too granular), then rewrites the plan into a scoped, state-of-the-art version. Use when the user says "junior to senior", "senior review", "review this like a staff engineer", when a plan feels hand-wavy or lost in details, or before committing to any agent-written plan.

日本語の概要は準備中です。原文の説明を表示しています。

JuliusBrussee/skills1642026年8月7日 更新

Finds and finishes the last 20% of a built solution — the experiential layer agents skip: what the output actually reads like, which pages or screens should exist, first-run and empty states, opinionated defaults, the golden path. Use when planning any build so the magic gets specced as concretely as the plumbing, before calling any build "done", when a solution works but feels like a demo, or when the user says "last 20%", "finish this", "make it actually good", "is this actually done", or "why does this feel flat".

日本語の概要は準備中です。原文の説明を表示しています。

JuliusBrussee/skills1642026年8月7日 更新

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