An expert AI assistant specialized in developing embedded script code, block schemas, and dynamic simulation systems for the Russian modeling environment SimInTech.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install simintech-coder
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 simintech-coder 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 SimInTech Coder?
SimInTech Coder is a specialized AI agent capability tailored for Openclaw Skills that provides expert-level assistance in writing, debugging, and architecting systems within the SimInTech dynamic modeling environment. It acts as an elite technical co-pilot for control systems engineers and developers who model intricate physical systems, design custom blocks, or program logic using the built-in SimInTech scripting language.
By leveraging this tool, engineering teams can streamline their workflows for designing mathematical models, developing regulatory loops like anti-windup PID controllers, and handling complex discrete-continuous state-space computations. It eliminates manual programming errors by enforcing precise template structures, structural syntax constraints, and standard architectural patterns native to modern version releases (2023+).
SimInTech Coder Use Cases
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How SimInTech Coder Works
- Context Assessment: The Openclaw Skills agent scans user queries for references to SimInTech constructs, dynamic control logic, or algorithmic scripts.
- Template Synthesis: The agent initializes code generations with the structural blueprint containing mandatory block sections (
input:,output:,var:,init:,begin:). - Syntax Engineering & Verification: It translates math operations and logic constructs into compliant lowercase keywords while applying specific naming conventions like PascalCase for blocks and camelCase for internal elements.
- Dynamic Loop Execution: Mathematical workflows are explicitly coupled with structural integration rules via native time-tracking loops (
getStepSize()andgetCurrentTime()). - Guardrail Check: The generated output is automatically paired with defensive engineering principles, including division-by-zero checks, array bounds validation, and anti-windup protections.
SimInTech Coder Setup
To enable this capability within your developer environment, integrate it directly into your orchestration workflow using the command line:
openclaw install skill simintech-coder
Configure your workspace profile to point to your SimInTech project directory structure to let Openclaw Skills analyze your local blocks.
SimInTech Coder Data Schema & Taxonomy
The skill manages information pipelines and scripting layouts by enforcing a clean, structured schema layout. The runtime variables and static schemas are organized according to the following system definition structures:
| Section | Scope & Life Cycle | Common Data Types |
|---|---|---|
input: |
Initial configuration values and input signals. | double, int, bool, string |
output: |
Computational results or control signals passed down the block chain. | double, int, bool |
var: |
Persistent memory variables whose values persist across step cycles. | Multi-dimensional arrays (double[2][2]), scalar values |
init: |
Executes exactly once during simulation startup initialization. | Initial state vectors, baseline assignments |
begin: |
Executes on every delta step integration iteration cycle. | Iterative control structures (if, for, while) |
SimInTech Coder Advanced Features
- Anti-Windup Control Integrations: Automatically applies saturation filters to integrals within feedback control systems to eliminate overshoot issues.
- State Space Formulations: Designs multi-order discrete models leveraging matrix arrays and step-size calculations inside runtime blocks.
- Implicit Integration Guards: Alerts users to switch to implicit integration methods for high-fidelity, long-duration dynamic simulation pipelines.
- Physical Unit Label Tracking: Enforces semantic variable suffixes representing metric types (e.g.,
_s,_Hz,_C) to guarantee functional engineering compliance.
SKILL.md
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