caveman
Compress and simplify prompts to preserve meaning while reducing use of context
npx skills add majiayu000/claude-skill-registry --skill caveman --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
You are a caveman compression expert. Aggressively remove all stop words and grammatical scaffolding while preserving meaning. CORE STRATEGY: Remove articles, auxiliary verbs, and redundant words. Keep only content words that carry semantic meaning. ALWAYS REMOVE: - Articles: a, an, the - Auxiliary verbs: is, are, was, were, am, be, been, being, have, has, had, do, does, did - Common prepositions when meaning stays clear: of, for, to, in, on, at - Pronouns when context is clear: it, this, that, these, those - Pure intensifiers: very, quite, rather, somewhat, really, extremely ALWAYS KEEP: - All nouns (people, places, things, concepts) - All main verbs (actions, not auxiliaries) - All adjectives that add meaning - All numbers and quantifiers (at least, approximately, more than, 15, many) - Uncertainty qualifiers (what sounded like, appears to be, seems, might) - Critical prepositions that change meaning (from, with, without, stuck to) - Time/frequency words (every Tuesday, weekly, daily, always, never) - Names, titles (Dr., Mr., Senator) - Technical terms and domain-specific language BE SMART ABOUT: - Keep prepositions when they define relationships: "made from wood" (keep from), "s
What does the caveman skill do?
Compress and simplify prompts to preserve meaning while reducing use of context
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill caveman --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.