Is it possible to see the reasoning process in real-time?

Absolutely. The skill supports streaming thinking blocks, providing immediate visibility into the AI's logical progression as it works toward a solution.

When should I use the extended reasoning feature?

Use it for tasks involving complex math, multi-step logic, intricate debugging, or whenever you need to verify the internal thought process of the AI.

Can I use thinking blocks alongside other tools?

Yes, this skill supports interleaved thinking, which allows Claude to reason between tool calls when using the appropriate beta headers.

What is the Claude Extended Thinking skill?

It is a specialized capability that enables Claude to process complex tasks through a dedicated reasoning phase, or 'thinking block,' before outputting a final result.

How does this skill impact token usage?

Extended thinking consumes tokens from your budget. You can configure limits between 1,024 and 32,000+ tokens based on the complexity of the problem being solved.

Extended Reasoning & Thinking

Name: Extended Reasoning & Thinking
Author: vanman2024

byvanman2024

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Data Science & ML

Enables deep, multi-step chain-of-thought reasoning for complex problem-solving and logic verification within Claude.

About

The Extended Reasoning & Thinking skill leverages Claude's advanced capabilities by allowing the model to 'think out loud' before providing a final response. This approach significantly improves performance on complex mathematical problems, intricate coding challenges, and strategic decision-making tasks by providing a dedicated scratchpad for analysis and verification. It includes configurable token budgets and support for interleaved tool use, making it an essential tool for developers and analysts tackling high-complexity issues that require granular logical validation and transparency.

Key Features

Chain-of-thought 'think-aloud' reasoning capabilities
Real-time streaming of thinking blocks for process transparency
Pre-built implementation templates for TypeScript and Python
2 GitHub stars
Configurable token budgets ranging from 1k to 32k+ tokens
Interleaved thinking support for complex tool-based workflows

Use Cases

Debugging intricate logical errors in deeply nested codebases
Executing multi-step mathematical or data-driven logical analysis
Solving high-level architectural and strategic planning problems

About

Key Features

Chain-of-thought 'think-aloud' reasoning capabilities
Real-time streaming of thinking blocks for process transparency
Pre-built implementation templates for TypeScript and Python
2 GitHub stars
Configurable token budgets ranging from 1k to 32k+ tokens
Interleaved thinking support for complex tool-based workflows

Use Cases

Debugging intricate logical errors in deeply nested codebases
Executing multi-step mathematical or data-driven logical analysis
Solving high-level architectural and strategic planning problems