Request Optimizer FAQs

Question 1

How does it help with token and cost management?

Accepted Answer

The skill includes a multi-model recommendation engine. It defaults to recommending lighter models like Claude 3 Haiku for simple tasks and reserves more powerful models for complex logic, helping you preserve your token budget without sacrificing quality.

Question 2

What does the Request Optimizer skill do?

Accepted Answer

The Request Optimizer analyzes incoming prompts to create a strategic execution plan. It evaluates request specificity, recommends the best Claude model for the job, identifies necessary subtasks, and suggests the right tools or MCPs to use before execution begins.

Question 3

How does this skill improve my AI coding workflow?

Accepted Answer

It eliminates 'prompt trial-and-error' by providing a structured roadmap. By identifying if codebase exploration is needed upfront and breaking large requests into manageable subtasks, it ensures Claude has the right context and strategy for a successful first pass.

Question 4

When should I use this skill?

Accepted Answer

This skill is designed to run automatically on every request. It is especially useful for complex coding tasks where intelligent decomposition and model selection (like choosing Haiku for simple fixes or Sonnet for logic) can significantly improve results and reduce costs.

Question 5

Does the Request Optimizer execute code automatically?

Accepted Answer

No. It acts as an intelligent intermediary that presents an analysis and execution strategy for your approval. You maintain full control by reviewing the proposed subtasks and tool invocations before any heavy operations are performed.

Request Optimizer

Request Optimizer

About

Key Features

Use Cases

About

Key Features

Use Cases