Token Budget Advisor (TBA)
Intercept the response flow to offer the user a choice about response depth before Claude answers.
When to Use
- User wants to control how long or detailed a response is
- User mentions tokens, budget, depth, or response length
- User says "short version", "tldr", "brief", "al 25%", "exhaustive", etc.
- Any time the user wants to choose depth/detail level upfront
Do not trigger when: user already set a level this session (maintain it silently), or the answer is trivially one line.
How It Works
Step 1 — Estimate input tokens
Use the repository's canonical context-budget heuristics to estimate the prompt's token count mentally.
Use the same calibration guidance as context-budget:
- prose:
words × 1.3
- code-heavy or mixed/code blocks:
chars / 4
For mixed content, use the dominant content type and keep the estimate heuristic.
Step 2 — Estimate response size by complexity
Classify the prompt, then apply the multiplier range to get the full response window:
| Complexity |
Multiplier range |
Example prompts |
| Simple |
3× – 8× |
"What is X?", yes/no, single fact |
| Medium |
8× – 20× |
"How does X work?" |
| Medium-High |
10× – 25× |
Code request with context |
| Complex |
15× – 40× |
Multi-part analysis, comparisons, architecture |
| Creative |
10× – 30× |
Stories, essays, narrative writing |
Response window = input_tokens × mult_min to input_tokens × mult_max (but don’t exceed your model’s configured output-token limit).
Step 3 — Present depth options
Present this block before answering, using the actual estimated numbers:
Analyzing your prompt...
Input: ~[N] tokens | Type: [type] | Complexity: [level] | Language: [lang]
Choose your depth level:
[1] Essential (25%) -> ~[tokens] Direct answer only, no preamble
[2] Moderate (50%) -> ~[tokens] Answer + context + 1 example
[3] Detailed (75%) -> ~[tokens] Full answer with alternatives
[4] Exhaustive (100%) -> ~[tokens] Everything, no limits
Which level? (1-4 or say "25% depth", "50% depth", "75% depth", "100% depth")
Precision: heuristic estimate ~85-90% accuracy (±15%).
Level token estimates (within the response window):
- 25% →
min + (max - min) × 0.25
- 50% →
min + (max - min) × 0.50
- 75% →
min + (max - min) × 0.75
- 100% →
max
Step 4 — Respond at the chosen level
| Level |
Target length |
Include |
Omit |
| 25% Essential |
2-4 sentences max |
Direct answer, key conclusion |
Context, examples, nuance, alternatives |
| 50% Moderate |
1-3 paragraphs |
Answer + necessary context + 1 example |
Deep analysis, edge cases, references |
| 75% Detailed |
Structured response |
Multiple examples, pros/cons, alternatives |
Extreme edge cases, exhaustive references |
| 100% Exhaustive |
No restriction |
Everything — full analysis, all code, all perspectives |
Nothing |
Shortcuts — skip the question
If the user already signals a level, respond at that level immediately without asking:
| What they say |
Level |
| "1" / "25% depth" / "short version" / "brief answer" / "tldr" |
25% |
| "2" / "50% depth" / "moderate depth" / "balanced answer" |
50% |
| "3" / "75% depth" / "detailed answer" / "thorough answer" |
75% |
| "4" / "100% depth" / "exhaustive answer" / "full deep dive" |
100% |
If the user set a level earlier in the session, maintain it silently for subsequent responses unless they change it.
Precision note
This skill uses heuristic estimation — no real tokenizer. Accuracy ~85-90%, variance ±15%. Always show the disclaimer.
Examples
Triggers
- "Give me the short version first."
- "How many tokens will your answer use?"
- "Respond at 50% depth."
- "I want the exhaustive answer, not the summary."
- "Dame la version corta y luego la detallada."
Does Not Trigger
- "What is a JWT token?"
- "The checkout flow uses a payment token."
- "Is this normal?"
- "Complete the refactor."
- Follow-up questions after the user already chose a depth for the session
Source
Standalone skill from TBA — Token Budget Advisor for Claude Code.
Original project also ships a Python estimator script, but this repository keeps the skill self-contained and heuristic-only.
---
name: token-budget-advisor
description: Intercepts responses to let users choose the depth and token budget before answering, with heuristic token estimation and preset depth levels.
---
# Token Budget Advisor (TBA)
Intercept the response flow to offer the user a choice about response depth **before** Claude answers.
## When to Use
- User wants to control how long or detailed a response is
- User mentions tokens, budget, depth, or response length
- User says "short version", "tldr", "brief", "al 25%", "exhaustive", etc.
- Any time the user wants to choose depth/detail level upfront
**Do not trigger** when: user already set a level this session (maintain it silently), or the answer is trivially one line.
## How It Works
### Step 1 — Estimate input tokens
Use the repository's canonical context-budget heuristics to estimate the prompt's token count mentally.
Use the same calibration guidance as [context-budget](../context-budget/SKILL.md):
- prose: `words × 1.3`
- code-heavy or mixed/code blocks: `chars / 4`
For mixed content, use the dominant content type and keep the estimate heuristic.
### Step 2 — Estimate response size by complexity
Classify the prompt, then apply the multiplier range to get the full response window:
| Complexity | Multiplier range | Example prompts |
|--------------|------------------|------------------------------------------------------|
| Simple | 3× – 8× | "What is X?", yes/no, single fact |
| Medium | 8× – 20× | "How does X work?" |
| Medium-High | 10× – 25× | Code request with context |
| Complex | 15× – 40× | Multi-part analysis, comparisons, architecture |
| Creative | 10× – 30× | Stories, essays, narrative writing |
Response window = `input_tokens × mult_min` to `input_tokens × mult_max` (but don’t exceed your model’s configured output-token limit).
### Step 3 — Present depth options
Present this block **before** answering, using the actual estimated numbers:
```
Analyzing your prompt...
Input: ~[N] tokens | Type: [type] | Complexity: [level] | Language: [lang]
Choose your depth level:
[1] Essential (25%) -> ~[tokens] Direct answer only, no preamble
[2] Moderate (50%) -> ~[tokens] Answer + context + 1 example
[3] Detailed (75%) -> ~[tokens] Full answer with alternatives
[4] Exhaustive (100%) -> ~[tokens] Everything, no limits
Which level? (1-4 or say "25% depth", "50% depth", "75% depth", "100% depth")
Precision: heuristic estimate ~85-90% accuracy (±15%).
```
Level token estimates (within the response window):
- 25% → `min + (max - min) × 0.25`
- 50% → `min + (max - min) × 0.50`
- 75% → `min + (max - min) × 0.75`
- 100% → `max`
### Step 4 — Respond at the chosen level
| Level | Target length | Include | Omit |
|------------------|---------------------|-----------------------------------------------------|---------------------------------------------------|
| 25% Essential | 2-4 sentences max | Direct answer, key conclusion | Context, examples, nuance, alternatives |
| 50% Moderate | 1-3 paragraphs | Answer + necessary context + 1 example | Deep analysis, edge cases, references |
| 75% Detailed | Structured response | Multiple examples, pros/cons, alternatives | Extreme edge cases, exhaustive references |
| 100% Exhaustive | No restriction | Everything — full analysis, all code, all perspectives | Nothing |
## Shortcuts — skip the question
If the user already signals a level, respond at that level immediately without asking:
| What they say | Level |
|----------------------------------------------------|-------|
| "1" / "25% depth" / "short version" / "brief answer" / "tldr" | 25% |
| "2" / "50% depth" / "moderate depth" / "balanced answer" | 50% |
| "3" / "75% depth" / "detailed answer" / "thorough answer" | 75% |
| "4" / "100% depth" / "exhaustive answer" / "full deep dive" | 100% |
If the user set a level earlier in the session, **maintain it silently** for subsequent responses unless they change it.
## Precision note
This skill uses heuristic estimation — no real tokenizer. Accuracy ~85-90%, variance ±15%. Always show the disclaimer.
## Examples
### Triggers
- "Give me the short version first."
- "How many tokens will your answer use?"
- "Respond at 50% depth."
- "I want the exhaustive answer, not the summary."
- "Dame la version corta y luego la detallada."
### Does Not Trigger
- "What is a JWT token?"
- "The checkout flow uses a payment token."
- "Is this normal?"
- "Complete the refactor."
- Follow-up questions after the user already chose a depth for the session
## Source
Standalone skill from [TBA — Token Budget Advisor for Claude Code](https://github.com/Xabilimon1/Token-Budget-Advisor-Claude-Code-).
Original project also ships a Python estimator script, but this repository keeps the skill self-contained and heuristic-only.