humanizer

Apply human-centric communication patterns to prompts, responses, and feedback for clarity and empathy.

7|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/joabgonzalez/ai-agents-skills --skill humanizer-joabgonzalez
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: humanizer
Source: https://github.com/joabgonzalez/ai-agents-skills/tree/main/skills/humanizer
Command: npx skills add https://github.com/joabgonzalez/ai-agents-skills --skill humanizer-joabgonzalez

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides universal patterns for human-centric interaction, empathy, and communication. It is designed to elevate the quality of prompts, agent responses, and user-facing skills by fostering clarity, emotional intelligence, and adaptability.

Core Features & Use Cases

  • Empathetic Language: Use language that acknowledges user emotions and context, avoiding dismissive or robotic phrasing.
  • Clarity and Simplicity: Favor short, direct sentences; avoid jargon unless the user is an expert.
  • Adaptive Tone: Adjust formality and tone based on user profile or context.
  • Feedback Loops: Invite feedback and iterate on responses based on user signals.
  • Cultural and Linguistic Sensitivity: Be mindful of translation and cultural differences.

Quick Start

Provide an example prompt and ask for a humanized rewrite that improves empathy and clarity.

Frequently Asked Questions about humanizer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I make AI prompts sound more human and empathetic?

Apply human-centric communication patterns to your prompt design by using concise language, acknowledging user context, and avoiding dismissive phrasing to make AI prompts sound more human and empathetic. This skill enforces adaptive tone and emotional intelligence in responses.

What is adaptive tone in user-facing communication?

Adaptive tone in user-facing communication adjusts formality and phrasing based on user profile and context. It ensures communication remains accessible and respectful by favoring short, direct sentences and avoiding jargon for non-expert audiences.

How do I add cultural sensitivity to agent responses?

Add cultural sensitivity to agent responses by applying translation awareness and cultural checks during response crafting. This involves enforcing linguistic inclusivity and safety checks to ensure accessible, respectful communication across diverse audiences.

Can I use this approach to improve clarity in technical writing?

Yes, you can use these communication patterns to improve clarity in technical writing by favoring short, direct sentences and avoiding unnecessary jargon unless the user is an expert. It enforces concise language to make technical content more accessible.

What is the best way to handle user feedback in AI responses?

The best way to handle user feedback in AI responses is to implement feedback loops that invite user signals and iterate on responses accordingly. This ensures the communication remains empathetic and adapts to user needs over time.

When should I avoid using jargon in communication?

Avoid using jargon in communication when addressing diverse audiences or non-expert users. Favor clarity and simplicity with short, direct sentences, and only include specialized terminology when the user profile indicates expert-level knowledge.