token-budget-advisor

Modulate AI response depth and length according to token budgets.

Updated Nov 19, 2025
One-click install
npx skills add https://github.com/Sake-Team/SmartSake --skill token-budget-advisor-sake-team
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: token-budget-advisor
Source: https://github.com/Sake-Team/SmartSake/tree/main/backup/skills/token-budget-advisor
Command: npx skills add https://github.com/Sake-Team/SmartSake --skill token-budget-advisor-sake-team

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps users control the depth and length of AI-generated responses, optimizing token usage and ensuring informed communication.

Core Features & Use Cases

  • Response Depth Control: Offers users the option to choose the level of detail in responses.
  • Token Budget Management: Allows users to limit the number of tokens used in responses to manage costs and resources.
  • Use Case: A user can specify a token budget and receive responses that are concise yet informative, ideal for brief interactions or constrained environments.

Quick Start

Set the desired depth level for your response by saying "I want a 50% depth response."

Frequently Asked Questions about token-budget-advisor

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

FAQPage Schema
How do I control AI response length to fit within a specific token budget?

You can control AI response length by setting a predefined token budget, which modulates the depth and length of generated outputs to optimize token usage and manage costs.

What is response depth control and how does it manage token usage?

Response depth control is a mechanism that adjusts the level of detail in AI-generated responses based on your preferences, ensuring concise yet informative communication ideal for constrained environments.

How do I set a desired depth level for an AI-generated response?

To set a desired depth level, specify your preference in the prompt, such as requesting a 50% depth response, and the system will modulate the output length and detail accordingly.

Can I use token budgeting for interactive AI applications with limited allocations?

Yes, token budgeting is specifically applicable to interactive AI applications with limited token allocations, allowing you to limit the number of tokens used to manage resources effectively.

Does setting a strict token budget affect the informativeness of the response?

Setting a strict token budget modulates response depth to maintain informed communication, providing concise outputs that balance the level of detail with your cost optimization requirements.