Caveman
Cuts output tokens (~65% avg) by stripping narration while keeping every technical fact—leaner Claude Code responses.
Overview
Caveman is a Claude skill added to LimeDock Directories from recent community and vendor roundups. Cuts output tokens (~65% avg) by stripping narration while keeping every technical fact—leaner Claude Code responses. This page covers install, how to invoke it, example prompts, prerequisites, and concrete use cases.
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Link
Installation guide
Install via the Firecrawl roundup / skills.sh listing for Caveman, or copy the published SKILL.md into `~/.claude/skills/caveman/`.
How to use it
Enable when you want dense technical output without lengthy narration. Disable for teaching/explanatory sessions.
Example prompts
- “Use the Caveman skill for: Long refactors with less token burn”
- “Walk me through Caveman step by step, then execute on my project.”
- “Review my current approach and improve it using Caveman.”
- “Produce a reusable checklist for running Caveman on similar work.”
Use cases and examples
- Long refactors with less token burn
- Keep diffs and facts, drop filler
- High-volume agent loops
- Pair with handoff for lean session logs
- Team playbook trial of Caveman on a real workflow
Prerequisites
- Claude Code, Claude.ai (Skills enabled), or an Agent Skills–compatible host
- Permission to install third-party skills — audit SKILL.md and scripts first
- Project context (CLAUDE.md / product notes) for better outputs
Tips
- Keep triggers specific so Caveman only fires when relevant.
- Audit SKILL.md and any bundled scripts before production use.
- Pair with verification (tests, review, screenshots) before shipping.
- Re-audit installed skills monthly to avoid context tax from unused packs.