How to Make Claude Code Explain Its Reasoning Steps

When working with Claude Code, understanding its reasoning process helps you debug issues, validate its approach, and build trust in its outputs. Whether you’re debugging a complex task or learning how Claude thinks about problems, there are several techniques to make its reasoning transparent.

Direct Prompting for Reasoning

The simplest approach is to ask Claude explicitly. During any session, you can request that Claude explain its thinking before taking action:

Before you write any code, explain your approach step by step.

This works particularly well when combined with skills. If you’re using the tdd skill for test-driven development, prepend your request:

Use the tdd skill and explain your reasoning at each step.

Claude will then walk through its understanding of the requirements, its plan for implementation, and why it chose specific approaches.

Using Verbose Mode for Detailed Output

Claude Code supports a verbose mode that provides additional context about what the model is doing. When you start Claude with verbose logging enabled, you’ll see tool call sequences, token usage, and intermediate reasoning more clearly.

For developers building skills, this verbose output is invaluable. You’ll see exactly what tools Claude is calling and in what order, which helps you understand how skills guide behavior.

Designing Skills That Encourage Explanation

When creating Claude skills, you can embed reasoning requirements directly into the skill definition. This approach is more systematic than relying on per-session prompts.

For a code review skill, include explicit reasoning requirements:

---
name: code-review
description: Review code and provide detailed feedback
---

When reviewing code:
1. Read the file completely before analyzing
2. For each issue found, explain WHY it is a problem
3. Suggest конкретные fixes with code examples
4. Summarize the overall architecture assessment

Always explain your reasoning before recommending changes.

This pattern works for any skill. The frontend-design skill can require explanation of design decisions. The pdf skill can explain why it chose certain formatting approaches. The supermemory skill can explain its indexing strategy.

Chain-of-Thought Prompting in Practice

Chain-of-thought (CoT) prompting is a technique where you ask Claude to show its work. Rather than just giving the answer, you request the intermediate steps:

Solve this problem using chain-of-thought reasoning:
First, identify what we know
Second, identify what we need to find
Third, show each step of the calculation
Finally, provide the answer with verification

This is particularly useful for debugging. If Claude is producing unexpected output, asking for step-by-step reasoning helps identify where it went wrong.

Combining Skills for Transparent Workflows

The real power comes from combining reasoning requirements with specialized skills. Consider this workflow:

Use tdd to write failing tests first — the reasoning is captured in the test descriptions
Use the test failures to understand what’s needed
Implement the code
Run tests to verify

At each step, you can ask “Why did you write the test that way?” or “Why did you choose this implementation?” to probe the reasoning.

For the pdf skill:

Create a PDF report and explain:
- Why you chose this layout structure
- How you're handling page breaks
- Why you're using these specific fonts

For the algorithmic-art skill:

Generate art and explain your color palette choices,
the mathematical basis for the patterns, and
why you chose these specific parameters.

Session-Level Reasoning Configuration

You can configure your Claude Code session to be more transparent by default. In your settings, you can adjust how verbose the output is and whether reasoning tokens are included in the conversation.

Some developers set up a system prompt that runs at every session start:

Always explain your reasoning before taking significant actions.
If you're uncertain about something, state that uncertainty explicitly.
When making assumptions, state what those assumptions are.

This can be added to your global .claude/settings.json or included in a startup skill.

Debugging Reasoning Issues

When Claude’s reasoning seems off, there are specific debugging approaches:

Ask for alternative reasoning: “Walk me through an alternative approach and explain why you chose the first one over this one.”

Request explicit assumptions: “What assumptions are you making about the codebase?”

Trace back decisions: “Why did you choose to read that file first? What were you looking for?”

Verify understanding: “Summarize what you think I want, in your own words, before proceeding.”

For skills like mcp-builder that involve complex tool orchestration, this debugging becomes essential. When building MCP servers, asking Claude to explain its tool selection helps you identify gaps in your server design.

Practical Example

Here’s a real-world scenario. You want Claude to refactor a function and understand its approach:

I need you to refactor the `processUserData` function in src/utils/user.ts.
Before you make any changes:
Read the current implementation
Explain what it does, line by line
Identify potential issues or improvements
Propose your refactoring plan
Wait for my approval before implementing

This creates a reasoning loop where Claude’s thought process is visible before any irreversible actions occur.

Best Practices for Transparent Reasoning

Be specific about what you want explained. “Explain your reasoning” is vague. “Explain why you chose this data structure” is actionable.

Request reasoning before implementation, not after. It’s harder to reconstruct reasoning after the fact.

Use skills as reasoning frameworks. Skills like tdd and code-review have built-in reasoning patterns.

Combine verbal explanation with visible tool use. When you can see both what Claude is doing (tool calls) and why (explanation), you get full transparency.

Advanced Claude Skills with Tool Use and Function Calling — Skills can be designed to expose their tool reasoning patterns
Claude Skill .md File Format Explained — How to embed reasoning requirements in skill definitions
How to Write a Skill .md File for Claude Code — Step-by-step guide for creating skills that encourage transparent thinking

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