forge-engineering

name	forge-engineering
description	Run a complete engineering project through Forge's 8-phase autonomous pipeline. Decomposes any idea into subsystems, assigns specialist agents, produces real artifacts (CAD, firmware, schematics, BOMs), and iterates until the design works.
metadata	{"openclaw":{"emoji":"🏗️","requires":{"anyBins":["python3"]}}}

Forge Engineering Pipeline

When the user describes an engineering idea, run it through the full Forge pipeline.

Quick Run (full project)

cd /workspace && python run.py "USER'S IDEA HERE"

This launches the autonomous cognitive loop: Architect decomposes → Agents execute → Verifier checks → Architect replans on failure → Iterate until complete.

Manual Phase Execution

For step-by-step control, use the bridge to run individual tools:

# Structural analysis
python3 /workspace/bridge.py structural_analysis 'F=1000; L=2.0; E=200e9; I=moment_of_inertia_rect(0.05, 0.1); print(f"deflection={beam_deflection_simply_supported(F,L,E,I)*1000:.4f}mm")'

# Symbolic math
python3 /workspace/bridge.py sympy_math 'x=symbols("x"); print(integrate(x**2, x))'

# Circuit analysis
python3 /workspace/bridge.py circuit_analysis 'print(f"Vout={voltage_divider(12, 10e3, 20e3):.2f}V")'

# Generate CAD
python3 /workspace/bridge.py openscad 'cube([10,20,30]);'

# Run any Python computation
python3 /workspace/bridge.py python_executor 'import numpy as np; print(np.linalg.det([[1,2],[3,4]]))'

Output

All project artifacts are saved to forge/data/projects/<project_name>/:

• summary.md — engineering summary
• project_state.json — task graph and status
• artifacts/ — code, CAD files, schematics, plots