Caveman
Cut 75% of LLM output tokens without losing technical accuracy
Expert verdict
Ship
3-1The Panel's Take
Caveman is a Claude Code skill and AI editor plugin that makes language models respond in compressed, fragment-based prose — dropping articles, filler, and pleasantries while keeping full technical content intact. It offers four intensity levels from Lite (removes fluff, preserves grammar) to Ultra (telegraphic shorthand) and even a classical Chinese mode (文言文) for extreme compression. The result: roughly 65–75% fewer output tokens on average. The plugin ships with companion utilities: caveman-commit for sub-50-char commit messages, caveman-review for one-line PR verdicts with inline annotations, and caveman-compress to shrink documentation fed into sessions by ~46%. Installation is a single command across Claude Code, Cursor, Windsurf, Codex, Copilot, and 40+ other editors via the skills ecosystem. With 27k+ GitHub stars since its Product Hunt launch today, Caveman has struck a nerve with developers who are burning through token budgets on Claude's verbose default style. It's arguably the simplest ROI improvement you can apply to any AI-assisted coding workflow today.
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Caveman verdict: SHIP 🚀 3 ships · 1 skip from the expert panel Full review: shiporskip.io/tool/caveman-claude-code-token-compression-terse-llm-plugin-2026
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“This is one of the most practical DX improvements I've seen in the Claude Code ecosystem. Token budgets are a real constraint, and cutting 75% of output without touching correctness is legitimately impressive. One-command install across every editor seals it.”
“The 75% figure is self-reported and depends heavily on use case — code-heavy tasks already have dense outputs. There's also a real risk that terse AI responses miss critical nuance in complex debugging sessions, which could cost more time than the token savings are worth.”
“This points toward a future where AI assistants adapt their verbosity to context automatically — terse for experienced devs, explanatory for learners. Caveman is a blunt instrument today, but it's validating an interface paradigm shift. The 27k stars say the market agrees.”
“The Wenyan (classical Chinese) mode is genuinely inspired as a design choice — it reframes token compression as an aesthetic rather than a tradeoff. The branding is memorable and the single-sentence tagline does exactly what the product does.”