Tech Explainer is an AI-driven terminology translator that breaks down complex technical jargon into simple, relatable analogies for non-technical users.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tech-explainer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install tech-explainer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Tech Explainer?
Tech Explainer is a specialized tool within the Openclaw Skills ecosystem designed to democratize technical knowledge. It identifies professional terminology in any given text—ranging from AI and LLMs to software engineering—and translates those concepts into plain language. By avoiding dense academic definitions in favor of friendly, conversational explanations, it ensures that even complete beginners can grasp high-level technical concepts.
The skill operates on a core philosophy of accessibility. Instead of clinical lists, it provides a flowing, natural dialogue that feels like a conversation with a knowledgeable friend. Whether you are a student starting your journey or a professional navigating a new industry, this skill ensures that no technical term remains an obstacle to your understanding.
Tech Explainer Use Cases
- When a user encounters a sentence or paragraph filled with AI, programming, or general tech industry jargon.
- When a student or beginner is learning new technologies and needs a plain-English explanation of core concepts.
- During technical research where a user needs to understand what a specific term does and why it was invented, rather than just its dictionary definition.
- When reading technical documentation or news articles that assume a high level of prior technical knowledge.
How Tech Explainer Works
- Input Analysis: The skill receives a text string or document containing technical terminology from the user.
- Term Identification: It scans the text to extract professional terms, jargon, and non-general vocabulary that might be difficult for a layperson to understand.
- Structured Breakdown: For every identified term, it applies a three-step explanation framework: defining its essence, identifying the problem it solves, and creating a relatable analogy.
- Natural Language Generation: It synthesizes these explanations into a seamless, conversational response, avoiding rigid tables or lists to maintain a friendly tone.
Tech Explainer Setup
To integrate this skill into your workflow, ensure you have the Openclaw environment configured. You can initialize the explainer with the following steps:
# Install the Openclaw Skills package
npm install @openclaw/tech-explainer
# Configure the skill within your agent settings
openclaw skill enable tech-explainer
You can also point the skill to a custom reference library for specific high-frequency terms by updating your config.json to include your common-terms.md path.
Tech Explainer Data Schema & Taxonomy
The Tech Explainer skill organizes its internal logic and reference data through a structured taxonomy to ensure consistency in analogies.
| Component | Format | Description |
|---|---|---|
| Input Context | String | The raw technical text provided by the user. |
| Term Library | Markdown | A reference file (common-terms.md) containing pre-verified analogies. |
| Explanation Logic | Object | A 3-step internal schema: {Definition, Utility, Analogy}. |
| Output Stream | String | A conversational Markdown-formatted response. |
Tech Explainer Advanced Features
- Analogy Precision Engine: Ensures that metaphors are accurate and do not oversimplify the tech to the point of losing its core meaning.
- Natural Transition Logic: Automatically weaves multiple term explanations into a coherent narrative rather than a disjointed list.
- Custom Reference Support: Allows users to link to local
references/common-terms.mdfiles to prioritize specific organizational or domain-specific definitions. - Tone Modulation: Adapts the explanation style to match the user's specific level of technical background, focusing on student-friendly metaphors.
SKILL.md
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