cavecrew

Delegate exploratory tasks to caveman-style subagents for compressed outputs.

Updated May 2, 2026
One-click install
npx skills add https://github.com/artgaurav16420-oss/Mega-Skills --skill cavecrew
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cavecrew
Source: https://github.com/artgaurav16420-oss/Mega-Skills/tree/main/distribution/harnesses/tabnine/agent/skills/cavecrew
Command: npx skills add https://github.com/artgaurav16420-oss/Mega-Skills --skill cavecrew

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Delegates complex exploratory tasks to caveman-style subagents to shrink the main context and improve efficiency over long sessions.

Core Features & Use Cases

  • Orchestrates subagents: cavecrew-investigator, cavecrew-builder, cavecrew-reviewer for targeted tasks.
  • Provides caveman-compressed outputs to reduce token usage and context footprint.
  • Suitable for code exploration, architecture decisions, and diff reviews where inline work would be verbose.

Quick Start

Delegate tasks to caveman-style subagents during a code exploration workflow.

Frequently Asked Questions about cavecrew

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I reduce context window usage during long exploratory code sessions?

To reduce context window usage during long exploratory code sessions, delegate complex tasks to caveman-style subagents. This shrinks the main context footprint and improves efficiency by offloading verbose inline work.

What is the best way to orchestrate subagents for diff reviews and architecture decisions?

Orchestrating subagents for diff reviews and architecture decisions is best handled by delegating to specialized investigator, builder, and reviewer subagents. This approach reduces main-thread workload and returns structured output contracts.

Can I use caveman-style outputs to decrease token consumption in code exploration?

Yes, you can use caveman-style outputs to decrease token consumption in code exploration. The delegation process provides caveman-compressed results, significantly reducing token usage and the overall context footprint.

Does delegating to subagents work for managing context in long coding workflows?

Delegating to subagents works effectively for managing context in long coding workflows. It targets code exploration, architecture decisions, and diff reviews, ensuring structured outputs are returned for downstream integration without overwhelming the main thread.

What are the limitations of using compressed subagent outputs for downstream integration?

The limitation of using compressed subagent outputs for downstream integration is that results are returned in a caveman-style format. Your downstream systems must be configured to parse these specific structured output contracts to function correctly.