explainer

Translate jargon-heavy technical content into clear, accessible explanations with analogies.

1|Updated Mar 23, 2026

Search Tags:#education #communication #analogies #plain-language #explainer #jargon-neutralization

Ready to run

npx skills add https://github.com/hellonish/singularity --skill explainer-hellonish

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: explainer
Source: https://github.com/hellonish/singularity/tree/main/SKILLS/tier3_output/explainer
Command: npx skills add https://github.com/hellonish/singularity --skill explainer-hellonish

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The explainer skill transforms highly technical or domain-specific information into accessible, engaging explanations for non-expert audiences, reducing confusion and cognitive load.

Core Features & Use Cases

Jargon neutralization: identifies specialized terms and provides plain-language definitions on first use.
Conceptual mapping with analogies: builds concrete, relatable comparisons for major concepts.
Narrative structuring: organizes content into a clear, start-with-the-big-picture flow that guides the reader.
Linguistic calibration: adjusts language to meet a target reading level and maintain accuracy.

Quick Start

Input technical content and output a plain-language explainer by defining jargon on first use and adding analogies.

Frequently Asked Questions about explainer

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

FAQPage Schema

How do I translate technical jargon into plain language for non-experts?▼

Translating technical jargon into plain language requires identifying specialized terms and providing accessible definitions on first use, a process known as jargon neutralization. This approach reduces cognitive load for non-expert audiences.

What is the best way to explain complex information to a lay audience?▼

Explaining complex information effectively involves combining jargon neutralization with relatable analogies for major concepts, then organizing the content into a cohesive narrative aligned with a targeted reading level.

How do I make product documentation accessible to public-facing users?▼

Making product documentation accessible involves applying linguistic calibration to adjust language to a target reading level, building concrete analogies, and structuring a clear narrative flow that starts with the big picture.

Can I adjust educational materials to meet a specific reading level?▼

Yes, adjusting educational materials to a specific reading level is achieved through linguistic calibration, which modifies language complexity while maintaining accuracy and generating relatable conceptual analogies for the target audience.

When do I need to use analogies for technical content?▼

Analogies are needed for technical content when explaining major concepts to non-experts, as conceptual mapping builds concrete, relatable comparisons that make domain-specific information significantly easier to understand.