A comprehensive engineering advisor that adapts technical depth for hobbyists, students, and professionals.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install engineering
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 engineering 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 Engineering?
The Engineering skill for Openclaw Skills is a versatile technical assistant designed to support users across the entire spectrum of engineering practice. Whether you are a DIY enthusiast seeking material trade-offs or a professional engineer navigating complex ASME codes, this skill adapts its vocabulary, technical depth, and safety requirements to match your specific role. It bridges the gap between theoretical principles and real-world application, ensuring that safety, unit consistency, and jurisdictional compliance remain at the forefront of every project.
By leveraging this skill within Openclaw Skills, users gain access to a rigorous methodology that identifies failure modes, quantifies uncertainty, and references industry-standard benchmarks. It transforms the AI agent into a cross-disciplinary consultant capable of distinguishing between advisory recommendations and mandatory code requirements, making it an essential tool for anyone involved in design, research, or implementation.
Engineering Use Cases
- Designing safe DIY projects with explicit safety margins and material alternatives.
- Solving academic engineering problems from first principles with strict unit consistency.
- Navigating professional industrial codes like ASME B31.3 or AISC for compliance.
- Designing rigorous research experiments with proper controls and uncertainty quantification.
- Drafting technician-ready troubleshooting procedures and verification checklists.
How Engineering Works
- The skill analyzes the user's query context to determine their technical level and professional requirements.
- It establishes the necessary assumptions, safety factors, and unit systems before performing any calculations.
- For professional-grade tasks, it cites specific code versions and flags requirements for Professional Engineer (PE) review.
- It generates solutions that emphasize physical intuition, methodology, and symbolic derivations before substituting numerical values.
- The final output includes critical safety protocols, failure mode identifiers, and jurisdictional warnings to ensure safe implementation.
Engineering Setup
To integrate the Engineering capabilities into your Openclaw Skills environment, ensure your agent profile is configured to recognize technical personas.
# Initialize the engineering module within your workspace
openclaw install engineering-skill
# Configure preferred unit systems (SI or Imperial)
openclaw config engineering --units metric
Engineering Data Schema & Taxonomy
| Data Component | Description |
|---|---|
| Technical Depth | A metadata tag identifying the user as a Hobbyist, Student, Pro, Researcher, or Technician. |
| Unit Registry | A mapping of consistent unit systems used to prevent conversion errors during computation. |
| Code References | A taxonomy of industry standards (ASME, IEEE, NEC) including section and year versions. |
| Safety Margins | Explicitly defined Safety Factors (SF) and allowable limits for structural or electrical loads. |
| Verification Logs | Checklists for QA documentation, torque values, and calibration requirements. |
Engineering Advanced Features
- Multi-level context detection to automatically switch between simplified explanations and high-fidelity technical rigor.
- Jurisdictional amendment tracking to remind users to verify designs with the local Authority Having Jurisdiction (AHJ).
- Cross-discipline interface flagging to alert users when a project requires coordination between structural, electrical, or process specialists.
- Simulation vs. Validation hierarchy to prevent over-reliance on unverified modeling results.
- Automated FAIR data principle application to ensure research reproducibility and publication-ready formatting.
SKILL.md
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