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token-budget-advisor

Present explicit depth options before generating responses to control verbosity and token usage.

Updated Apr 2, 2026
Search Tags:#human-in-the-loop#verbosity#ai-chat#token-budget#session-state#prompt-control#response-depth
One-click install
npx skills add https://github.com/richardnpaul/everything-vscode-copilot --skill token-budget-advisor-richardnpaul
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: token-budget-advisor
Source: https://github.com/richardnpaul/everything-vscode-copilot/tree/main/.github/skills/token-budget-advisor
Command: npx skills add https://github.com/richardnpaul/everything-vscode-copilot --skill token-budget-advisor-richardnpaul

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reduces guesswork and token waste by giving users the ability to set or choose the depth of AI responses before they are generated.

Core Features & Use Cases

  • Pre-answer depth prompts: present options to control verbosity and token usage.
  • Session-awareness: remember the user's chosen depth within a session for consistency.
  • Easy integration: plug into prompts and adapt to questions, summaries, and explanations.

Quick Start

Tell the assistant to present a depth option before answering, for example "Give me 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 and verbosity before generating an answer?▼

You can control AI response verbosity by presenting explicit depth options before Claude responds, allowing users to select their preferred answer length upfront and reduce token waste.

What is the best way to manage token budget usage during an AI chat session?▼

Managing token budget usage involves offering pre-answer depth prompts that let users set the detail level, ensuring responses match the desired token limits and depth requirements.

Can I maintain a consistent response depth throughout an entire AI chat session?▼

Yes, you can maintain consistent response depth throughout an AI chat session by applying session-awareness, which remembers the user's chosen depth setting for all subsequent answers.

How does a human-in-the-loop approach help with prompt control and response depth?▼

A human-in-the-loop approach helps with prompt control by asking users to choose a response depth option first, eliminating guesswork and tailoring the answer length to their specific need.

Do I need any specific dependencies to integrate response depth options into my prompts?▼

No specific dependencies are required to integrate response depth options into prompts, as the feature uses session-state management to easily plug into existing questions, summaries, and explanations.

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