A versatile skill that enables AI agents to calibrate scientific communication and research support based on the user's specific level of expertise.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install science
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 science 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 Science?
The Science skill transforms how AI agents interact with scientific data and concepts. It provides a structured framework for agents to detect a user's knowledge level—ranging from curious children to professional researchers—and adapt the technical depth, vocabulary, and pedagogical approach accordingly. By integrating this into Openclaw Skills, developers can build agents that move beyond simple fact-retrieval to provide nuanced, context-aware scientific guidance.
At its core, the skill prioritizes scientific literacy and methodological rigor. It ensures that agents avoid common errors like fabricating citations or overstating preliminary findings, instead focusing on transparent evidence paths and uncertainty quantification. Whether the goal is to inspire wonder or support peer-reviewed research, this skill provides the necessary guardrails and communication strategies for high-quality scientific discourse.
Science Use Cases
- Creating educational content for children that uses relatable analogies and backyard experiments.
- Supporting university students by focusing on the logic behind formulas rather than rote memorization.
- Assisting researchers with methodological rigor, reproducibility support, and knowledge-tier labeling.
- Providing teachers with differentiated instructional versions of complex scientific topics.
How Science Works
- The skill analyzes the user's initial input to detect their expertise level based on vocabulary, syntax, and question type.
- It selects a persona-specific communication strategy, such as "Wonder First" for kids or "Rigor and Honesty" for professionals.
- Content is generated by connecting abstract concepts to concrete examples or existing research data.
- The system performs internal sanity checks on quantitative claims to catch impossible percentages or negative distances.
- All claims are labeled by certainty level, distinguishing between textbook consensus and emerging speculation.
Science Setup
To deploy the Science skill within your Openclaw Skills environment, add the skill to your agent's configuration profile. Ensure your environment is updated to handle adaptive context switches.
# Install the science skill via the CLI
openclaw install skill-science
# Verify installation and persona detection capabilities
openclaw verify science --check-logic
Science Data Schema & Taxonomy
The Science skill organizes scientific data based on user context and certainty levels. It maintains a taxonomy of evidence to ensure high scientific literacy.
| Attribute | Description | Values |
|---|---|---|
user_level |
The detected expertise of the user | child, student, researcher, teacher |
knowledge_tier |
The classification of scientific certainty | textbook, debate, emerging |
evidence_path |
The origin and verification of the claim | citation, consensus, observation |
instructional_layer |
The pedagogical format used | socratic, analogy, technical, demo |
Science Advanced Features
- Dynamic level adaptation that adjusts explanations mid-conversation based on user follow-up questions.
- Proactive misconception detection to address common scientific errors like correlation-causation confusion.
- Socratic prompt generation specifically designed for teachers to facilitate classroom discovery.
- Cross-discipline connection logic that identifies shared mathematical or logical structures across different scientific fields.
SKILL.md
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