JuliusBrussee/caveman
A cross-agent skill that strips filler from Claude’s replies and answers in terse, token-lean prose while keeping code, commands, and error text byte-for-byte exact.
Why it matters
Verbose model output is a hidden tax — every restated question and hedging paragraph costs tokens and attention. Caveman clamps responses down to the essential answer without touching literal code or commands, so you pay for signal instead of padding. On a heavy day of agent use the savings are continuous, which is why it spread far beyond Claude to thirty-plus other tools.
Use cases
- Cut output-token spend on high-volume agent sessions
- Keep long conversations readable by removing hedging and filler
- Preserve exact code and shell commands while trimming prose
- Apply one terse-output rule consistently across many agents
Quickstart
npx skills add JuliusBrussee/cavemanRelated repositories
planning-with-files
A planning skill that keeps multi-step work in Markdown files — plans, progress, and handoffs — so an agent can survive context resets without losing the thread.
prompt-master
A ready-to-clone library of reusable prompts and prompt patterns that installs directly into your Claude skills folder.
From the blog
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