economy-mode

Select cost-optimized Layer 3 models for routine tasks via task-aware auto-selection.

Updated Apr 16, 2026

Search Tags:#efficiency #cost-optimization #ai-agents #model-selection #token-management

Ready to run

npx skills add https://github.com/Quintenps/contactswap-agents --skill economy-mode-quintenps

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: economy-mode
Source: https://github.com/Quintenps/contactswap-agents/tree/main/.copilot/skills/economy-mode
Command: npx skills add https://github.com/Quintenps/contactswap-agents --skill economy-mode-quintenps

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the challenge of managing AI operational costs by automatically shifting to cost-efficient model alternatives for routine tasks while preserving high-performance models for critical work.

Core Features & Use Cases

Dynamic Model Selection: Automatically switches between premium and economy models based on task complexity.
Persistent Configuration: Allows users to set economy mode as a default preference via configuration files.
Use Case: A developer working on a long-running project can enable economy mode to use faster, cheaper models for routine documentation and logging, while ensuring the system still uses top-tier models for complex architectural reviews.

Quick Start

Activate cost-optimized model selection for the current session by telling the agent to use economy mode.

Frequently Asked Questions about economy-mode

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

FAQPage Schema

How do I reduce AI model costs for routine agent tasks without sacrificing output quality?▼

AI model costs are reduced by shifting Layer 3 model selection to cost-optimized alternatives using task-aware auto-selection logic. This mechanism routes routine work to cheaper models while reserving premium models for complex, high-performance requirements.

How does task-aware model selection work for persistent agent workflows?▼

Task-aware model selection evaluates task complexity to dynamically switch between premium and economy models. It applies to session-based or persistent agent workflows, ensuring token expenditure is managed across long-running projects.

Can I set cost-optimized AI models as a default preference in my configuration?▼

Yes, you can set cost-optimized models as a default preference via configuration files. This persistent configuration allows developers to automatically apply economy mode to long-running projects without manual activation each session.

Do I need a squad configuration system to manage AI token expenditure?▼

Yes, integrating with a squad configuration system is required to manage state and apply the economy model mapping table. This integration ensures the cost-optimized model selection functions correctly within your agent workflows.

Will enabling economy mode override explicit user intent or charter preferences?▼

Economy mode does not override explicit user intent or charter preferences. The system automatically shifts to cost-efficient model alternatives for routine tasks while strictly preserving the high-performance models needed for critical work.

What is the best way to activate economy mode for a current development session?▼

The best way to activate economy mode is by simply telling the agent to use economy mode. This initiates cost-optimized model selection for the current session, dynamically switching to faster, cheaper models for routine documentation and logging.