A deterministic hydraulic solver for analyzing steady-state incompressible fluid networks via TOML configurations and scenario-based testing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fluid-network-slover
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 fluid-network-slover 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 Fluid Network Solver?
Fluid Network Solver is a specialized tool within the Openclaw Skills ecosystem designed to model, solve, and analyze steady-state incompressible fluid networks. It allows developers and engineers to define complex hydraulic topologies—including nodes, pipes, and system parameters—using a structured TOML format. The skill automates the calculation of node pressures, pipe flow rates, and velocities, eliminating the need to write custom solver logic for every project.
Beyond basic calculations, this skill excels at reliability analysis. By defining multiple scenarios, users can stress-test their network designs against various demand profiles or mechanical failures. The integration into the Openclaw Skills framework ensures that the output is available in multiple formats, including machine-readable JSON for further automation or human-readable Markdown reports for documentation and stakeholder review.
Fluid Network Solver Use Cases
- Designing and validating initial hydraulic network templates for civil or industrial engineering.
- Running automated reliability reports to check pressure and flow thresholds across different operating conditions.
- Validating TOML topology data to ensure system integrity before deployment.
- Comparing multiple 'what-if' scenarios to identify potential points of failure in a fluid distribution system.
- Integrating hydraulic analysis into larger AI-driven design and optimization workflows.
How Fluid Network Solver Works
- The user defines the network topology, node characteristics, and pipe properties in a TOML file according to the provided schema.
- Optional named scenarios are added to the TOML to represent specific overrides or stress tests.
- The CLI script reads the TOML and applies the relevant scenario parameters to the base model.
- The core solver computes the steady-state hydraulic variables using deterministic algorithms.
- The skill aggregates the results and applies pass/fail logic based on predefined load and pressure thresholds.
- Final outputs are generated as console text, structured JSON data, or rendered Markdown reports.
Fluid Network Solver Setup
To get started with this skill from the Openclaw Skills library, install the dependencies and use the provided Python entry point:
# Install required dependencies
pip install -r requirements.txt
# Generate a starter TOML template to define your network
python scripts/run_fluid_skill.py --generate-template my_network.toml
# Execute a basic analysis
python scripts/run_fluid_skill.py --toml assets/sample_network.toml --print-text
Fluid Network Solver Data Schema & Taxonomy
The skill relies on a structured hierarchy defined in references/toml_schema.md. Data is organized into four main sections:
| Section | Description |
|---|---|
| system | Global constants such as fluid density and viscosity. |
| nodes | Collection of junctions with elevation and demand data. |
| pipes | Connections between nodes including length, diameter, and roughness coefficients. |
| scenarios | Overrides for specific node demands or pipe statuses for testing. |
Results are outputted with keys for convergence status, individual node pressure arrays, and pipe flow vectors.
Fluid Network Solver Advanced Features
- All-Scenarios Mode: Simultaneously analyze the base network and all defined overrides in a single execution pass.
- Template Customization: Utilize
assets/report_template.mdwith dynamic placeholders like{{summary_table}}for automated documentation. - Multi-Format Export: Generate dual outputs (JSON and Markdown) to support both automated pipelines and manual audits.
- Schema Validation: Built-in checks to ensure input TOML files adhere to the authoritative hydraulic topology requirements.
SKILL.md
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