Caveman
A skill that makes the agent compress its text output by ~65% by removing filler and using direct technical language, while preserving code accuracy and substance. Supports multiple compression levels (lite / full / ultra).
How to get this skill
Agent Skill by JuliusBrussee. Download or clone it, then install it in your agent.
Setup & Installation
- Clone the repository:
git clone https://github.com/JuliusBrussee/caveman.git - Copy the skill folder (which contains
SKILL.md) into your agent skills folder, e.g..claude/skills/. - Restart or reload the agent to auto-discover the skill.
- Check
SKILL.mdfor any special instructions or requirements.
Meqyas AI helps individuals and organizations measure AI readiness, then move from diagnosis to a practical adoption roadmap.
phrasing, use sentence fragments and direct technical language, while fully preserving
code accuracy and technical substance.
It supports several compression levels — lite / full / ultra (plus a classical-Chinese
wényán mode) — and keeps the user's original language while compressing only the style.
Per the repository's benchmarks: ~65% average reduction in output tokens with technical
accuracy maintained. Motto: "why use many token when few token do trick".
Related skills
muratcankoylan/context-fundamentals
Understand what context is, why it matters, and the anatomy of context in agent systems
muratcankoylan/context-degradation
Recognize patterns of context failure: lost-in-middle, poisoning, distraction, and clash
muratcankoylan/context-compression
Design and evaluate compression strategies for long-running sessions
muratcankoylan/context-optimization
Apply compaction, masking, and caching strategies