skills.rest
kk20300113-png
kk20300113-pngCOMMUNITY
Explore all skills by this author →
GitHub

token-budget-advisor

Estimate input tokens and set tiered response depth levels for AI outputs.

Updated May 9, 2026
Search Tags:#token budget#output control#token estimation#response depth#answer length#depth levels
One-click install
npx skills add https://github.com/kk20300113-png/my-claude-skills --skill token-budget-advisor-kk20300113-png
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: token-budget-advisor
Source: https://github.com/kk20300113-png/my-claude-skills/tree/main/token-budget-advisor
Command: npx skills add https://github.com/kk20300113-png/my-claude-skills --skill token-budget-advisor-kk20300113-png

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Users often receive AI responses that are either too brief to be useful or excessively long, wasting tokens and requiring extra time to sift through irrelevant content. This Skill eliminates that friction by letting you specify your desired response depth before the AI generates an answer, ensuring you get exactly the level of detail you need without unnecessary overhead.

Core Features & Use Cases

  • Heuristic Token Estimation: Calculates approximate input token count and expected response size based on prompt complexity to set accurate depth options.
  • Tiered Depth Selection: Offers 4 standardized depth levels (Essential, Moderate, Detailed, Exhaustive) with clear token estimates for each, so you can pick the perfect fit for your needs.
  • Session State Maintenance: Remembers your selected depth level across multiple turns in the same conversation, so you don’t have to re-specify it every time.
  • Use Case: If you are researching a new software framework and first want a high-level overview before diving into implementation details, you can request a 25% essential response first, then switch to 75% detailed when you are ready for deeper information.

Quick Start

Ask the AI to provide a 50% moderate response to your question about implementing user authentication in a web application.

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 token usage before generating an answer?▼

You can pre-specify desired AI response depth and token budget to avoid overly long or insufficient outputs. This approach applies heuristic input token estimation and tiered depth level selection to align generated output with your preferences.

Can I set a specific token budget for technical research and content drafting tasks?▼

Yes, you can set a specific token budget for technical research and content drafting tasks. The system calculates approximate input token count and expected response size based on prompt complexity to offer standardized depth levels with clear token estimates.

What are the available depth levels for adjusting answer detail?▼

The available depth levels for adjusting answer detail include four standardized tiers: Essential, Moderate, Detailed, and Exhaustive. Each tier provides clear token estimates so you can select the perfect fit for your specific output control needs.

Does the AI remember my selected response depth across multiple turns in a conversation?▼

Yes, the AI remembers your selected response depth across multiple turns in a conversation. Session state maintenance keeps your chosen depth level active, preventing the need to re-specify your desired answer length every time you ask a new question.

How do I estimate input token count and expected response size based on prompt complexity?▼

Heuristic token estimation is used to calculate approximate input token count and expected response size based on prompt complexity. This mechanism sets accurate depth options upfront, ensuring the generated output matches your desired level of detail.

Why does the AI generate excessively long responses that waste tokens and require extra time to read?▼

AI generates excessively long responses that waste tokens because it lacks pre-specified output constraints. By enabling users to select tiered depth levels and set a token budget upfront, this friction is eliminated and response length is controlled.

Related Skills

Explore More Content & Communication Skills→
thangvawnthangvawn

token-budget-advisor

Estimate token counts and control AI response depth.

Community
Intermediate
zircotezircote
20

mnemonic-progressive-disclosure

Recall information in tiered levels based on user intent.

Community
Intermediate
himanshu231204himanshu231204
2

token-budget-advisor

Select a 4-tier response depth to control AI token usage.

Community
Intermediate
luongldptitluongldptit

token-budget-advisor

Estimate input tokens and select response depth before generation.

Community
Intermediate