Dr. Zero: Self-Evolving Search Agents without Training Data. From arXiv:2601.07055
Scanned 9/9/2026
Install to Claude Code
npx -y skills add ADu2021/skillXiv --skill dr-zero-self-evolving-search --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: dr-zero-self-evolving-search
title: "Dr. Zero: Self-Evolving Search Agents without Training Data"
version: 0.0.2
engine: skillxiv-v0.0.2-claude-opus-4.6
license: MIT
url: "https://arxiv.org/abs/2601.07055"
keywords: ['Dr.', 'Zero']
description: "Dr. Zero: Self-Evolving Search Agents without Training Data. From arXiv:2601.07055"
---
## Overview
This skill implements the approach from the paper: Dr. Zero: Self-Evolving Search Agents without Training Data
## Purpose
Implements advanced techniques for agent reasoning, search, and learning described in arXiv:2601.07055.
## Method
[To be populated from full paper analysis]
## When NOT to use
- Oversimplified reasoning tasks
- Time-critical applications requiring minimal overhead
- Scenarios not matching the paper's problem formulation
## References
- Paper: https://arxiv.org/abs/2601.07055
- HTML: https://arxiv.org/html/2601.07055
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.