token-budget-advisor

Estimate input token load and enforce depth levels for requested response budgets.

Updated Sep 13, 2025
One-click install
npx skills add https://github.com/llmh333/employee_management_spring --skill token-budget-advisor-llmh333
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: token-budget-advisor
Source: https://github.com/llmh333/employee_management_spring/tree/main/.gemini/skills/token-budget-advisor
Command: npx skills add https://github.com/llmh333/employee_management_spring --skill token-budget-advisor-llmh333

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps you control how long and detailed an AI response will be so you can avoid overly verbose answers and match the level of depth you need.

Core Features & Use Cases

  • Depth choice before answering: Presents an explicit Essential/Moderate/Detailed/Exhaustive menu to set expectations up front.
  • Heuristic token budgeting: Estimates input token load and response window using consistent repository heuristics for prose and code-heavy prompts.
  • Intent-aware triggering: Detects requests for short/brief/exhaustive responses and avoids cases where token usage refers to auth or other unrelated tokens.

Quick Start

Ask for a short or exhaustive answer by saying something like: "Give me the 50% depth version of your explanation for this prompt."

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 answer depth before generating text?

Token budgeting estimates input token load and maps prompt complexity to an output window, helping you avoid overly verbose answers and match the exact level of answer depth you need.

Can I set a specific token budget for brief versus detailed answers?

Yes, you can set a specific token budget for brief versus detailed answers by asking for a percentage depth version of an explanation, which triggers heuristic estimation to map complexity to a constrained output window.

When should I use heuristic token budgeting for structured output?

Use heuristic token budgeting for structured output when you need consistent response length constraints across prose and code-heavy prompts, ensuring the answer depth matches your requested token budget.

Does the token budget trigger apply when asking about authentication tokens?

No, the token budget trigger does not apply to authentication tokens, as intent-aware triggering explicitly avoids cases where token usage refers to authorization or other unrelated token contexts.