How does Ecomode save money on AI tokens?

It intelligently routes simpler tasks like file lookups and basic edits to lower-tier models and only escalates to medium-tier models when complexity warrants it, avoiding high-cost models whenever possible.

Does Ecomode work with the Claude Pro plan?

Yes, it is optimized for Pro-plan users who want to maximize their usage limits by being more surgical with model selection.

Can Ecomode run tasks in the background?

Yes, Ecomode is designed to run long-running operations like npm installs, docker builds, and test suites in the background so you can continue working.

What is Ecomode in Claude Code?

Ecomode is a skill that prioritizes token-efficient models like Haiku and Sonnet while using parallel execution to reduce the cost and time of running AI agents.

Is task quality maintained when using Ecomode?

Yes, Ecomode uses a verification checklist and a fallback system that escalates tasks to more capable models if the low-tier model fails to meet the required quality standards.

Ecomode: Token-Efficient Orchestration

Name: Ecomode: Token-Efficient Orchestration
Author: Yeachan-Heo

byYeachan-Heo

•

3,720

Productivity & Workflow

Optimizes token usage and operational costs by routing tasks to the most efficient AI models and parallelizing agent execution.

About

Ecomode is a specialized orchestration skill for Claude Code designed to maximize efficiency and minimize expenses. It intelligently routes tasks to lower-tier models like Haiku for simple operations while reserving Sonnet for medium complexity, effectively bypassing high-cost models unless strictly necessary. By enabling parallel background execution and enforcing strict delegation rules, it allows developers to handle complex codebase tasks at a fraction of the standard token cost without sacrificing output quality or performance.

Key Features

Intelligent token-conscious routing between Haiku and Sonnet models
Automated state cleanup and session persistence
Strict delegation enforcement to prevent unnecessary resource use
3,720 GitHub stars
Background operation management for builds and installations
Parallel agent execution for simultaneous task handling

Use Cases

Executing parallel background test suites and build processes
Performing routine documentation updates and simple bug fixes cost-effectively
Large-scale codebase refactoring where high token volume is expected

About

Key Features

Intelligent token-conscious routing between Haiku and Sonnet models
Automated state cleanup and session persistence
Strict delegation enforcement to prevent unnecessary resource use
3,720 GitHub stars
Background operation management for builds and installations
Parallel agent execution for simultaneous task handling

Use Cases

Executing parallel background test suites and build processes
Performing routine documentation updates and simple bug fixes cost-effectively
Large-scale codebase refactoring where high token volume is expected