Why should I use the Response Style Selector?

It helps streamline communication by ensuring Claude’s output matches your preferred level of detail, reducing cognitive load and saving time.

How does the Response Style Selector store my preferences?

It records your choice in a local file at .agent-docs/memory/USER_PREFERENCES.md within your repository, ensuring the setting persists across sessions.

Can I change my response style after the first interaction?

Yes, you can ask Claude to change your response style at any time, and the skill will update your stored preference accordingly.

What is the difference between technical and humanized modes?

Technical mode provides detailed code insights and deeper technical context, while humanized mode uses plain language, minimal bullets, and fewer code details unless requested.

Does this skill affect all my Claude Code projects globally?

No, it stores preferences on a per-repository basis within the project's local directory, allowing you to have different styles for different projects.

Response Style Selector

Name: Response Style Selector
Author: CheekyCodexConjurer

byCheekyCodexConjurer

生産性とワークフロー

Customizes Claude's interaction tone by persisting user preferences for technical or humanized responses.

概要

The Response Style Selector skill empowers users to define exactly how Claude communicates during their coding sessions. Upon the first interaction, it prompts for a choice between 'Technical' and 'Humanized' modes, saving this preference to a local memory file for persistent use. This skill is particularly useful for developers who want to minimize AI verbosity, receive plain-language explanations, or ensure that complex technical details are always prioritized in their workflow.

主な機能

Automatic response length optimization based on selected style
0 GitHub stars
Choice between deep technical detail and simplified humanized language
Reduced noise by filtering unnecessary code snippets in humanized mode
Dynamic style switching at any point in the conversation
Persistent preference storage in .agent-docs/memory/USER_PREFERENCES.md

ユースケース

Reducing AI verbosity to focus on quick architectural decisions
Simplifying complex code explanations for documentation or non-technical team members
Ensuring high-density technical feedback for deep debugging sessions

概要

主な機能

Automatic response length optimization based on selected style
0 GitHub stars
Choice between deep technical detail and simplified humanized language
Reduced noise by filtering unnecessary code snippets in humanized mode
Dynamic style switching at any point in the conversation
Persistent preference storage in .agent-docs/memory/USER_PREFERENCES.md

ユースケース

Reducing AI verbosity to focus on quick architectural decisions
Simplifying complex code explanations for documentation or non-technical team members
Ensuring high-density technical feedback for deep debugging sessions