cli-compression

Configure and test prompt compression via CLI with RTK filters and Caveman rules.

Updated Jun 6, 2026

Search Tags:#optimization #cli #compression #prompt #caveman #rtk #nextroute

Ready to run

npx skills add https://github.com/DevMHOne/nextroute --skill cli-compression

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cli-compression
Source: https://github.com/DevMHOne/nextroute/tree/main/skills/cli-compression
Command: npx skills add https://github.com/DevMHOne/nextroute --skill cli-compression

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prompt-based AI workflows often suffer high token costs and latency. Configure and test prompt compression from the CLI to reduce payloads and improve routing efficiency.

Core Features & Use Cases

Configure RTK filters, Caveman rules, and stacked compression modes to tailor how prompts are compressed.
Preview compression results against real prompts to validate quality and impact.
Integrate with existing CLI workflows to streamline configuration and deployment.

Quick Start

Run nextroute compression to begin configuring prompt compression.

Frequently Asked Questions about cli-compression

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

FAQPage Schema

How do I reduce prompt token costs from the command line?▼

Prompt compression from the CLI reduces token costs by configuring RTK filters and Caveman rules to shrink prompt payloads before routing. You can adjust parameters like rtk-budget and caveman-aggressiveness to optimize size and latency.

What are RTK filters and Caveman rules for prompt compression?▼

RTK filters and Caveman rules are configurable mechanisms that determine how prompt payloads are compressed. RTK manages a token budget while Caveman controls compression aggressiveness, allowing you to tailor data reduction for routing efficiency.

Can I preview prompt compression results before applying them?▼

Yes, you can preview compression results against real prompts. The preview functionality allows you to validate compression quality and measure the payload impact before integrating settings into your deployment workflow.

How do I configure multiple stacked compression modes in a CLI workflow?▼

You configure stacked compression modes by running CLI commands to set engine parameters, rtk-budget, caveman-aggressiveness, and language-packs. This tailors prompt compression to your specific developer workflow and routing requirements.

Does CLI prompt compression require external dependencies?▼

No, CLI prompt compression operates without external dependencies. It integrates directly into existing CLI workflows, allowing you to streamline configuration and deployment for prompt routing without installing additional software components.

What is the best way to test prompt compression impact on latency?▼

The best way to test compression impact is using the CLI preview functionality. By configuring different compression modes and testing real prompts, you can directly observe payload reduction and validate routing efficiency improvements.