Exécutez n'importe quel Skill dans Manus
en un clic

Exécutez n'importe quel Skill dans Manus en un clic

flight-controls

Design and simulate control systems — transfer functions, PID controllers, Bode plots, root locus, stability analysis, state-space modeling. Uses scipy.signal and sympy.

Exécuter dans Manus

Aperçu

Design and simulate control systems — transfer functions, PID controllers, Bode plots, root locus, stability analysis, state-space modeling. Uses scipy.signal and sympy.

Commande d'installation

npx skills add https://github.com/00000star/AGI_engineering_forge --skill flight-controls

Copiez et collez cette commande dans Claude Code pour installer le skill

Source

00000star/AGI_engineering_forge

Étoiles0

Forks0

Mis à jour26 mars 2026 à 19:32

SKILL.md

readonly

name	flight-controls
description	Design and simulate control systems — transfer functions, PID controllers, Bode plots, root locus, stability analysis, state-space modeling. Uses scipy.signal and sympy.
metadata	{"openclaw":{"emoji":"🎛️","requires":{"anyBins":["python3"]}}}

Control Systems Engineering

Usage

# PID step response
python3 /workspace/bridge.py scipy_solver '
from scipy import signal
num = [129.6, 324, 81]
den = [15, 131.6, 324, 81]
sys = signal.TransferFunction(num, den)
t, y = signal.step(sys, T=np.linspace(0, 5, 1000))
overshoot = (max(y) - 1.0) * 100
print(f"Overshoot: {overshoot:.1f}%")
print(f"Final value: {y[-1]:.4f}")
'

# Symbolic transfer function
python3 /workspace/bridge.py sympy_math '
s = symbols("s")
G = 100 / (s**2 + 10*s + 100)
print(f"DC gain: {limit(G, s, 0)}")
print(f"Poles: {solve(s**2 + 10*s + 100, s)}")
'

For visualization (Bode plots, step response plots):

python3 /workspace/bridge.py matplotlib_plot 'YOUR_PLOTTING_CODE'

Plus depuis ce dépôt

même dépôt

cad-modeling

00000star/AGI_engineering_forge

Generate parametric 3D CAD models using OpenSCAD scripting language. Create cubes, cylinders, spheres, extrusions, boolean operations, and complex assemblies from code.

2026-03-260

circuit-design

00000star/AGI_engineering_forge

Analytical circuit design and simulation — voltage dividers, RC/RL/RLC filters, power calculations, impedance analysis, transfer functions. Uses sympy for symbolic analysis and numpy for numerical.

2026-03-260

forge-engineering

00000star/AGI_engineering_forge

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.

2026-03-260

structural-analysis

00000star/AGI_engineering_forge

Perform real structural engineering calculations — beam deflection, stress analysis, buckling, safety factors. Uses numpy and scipy with built-in helper functions.

2026-03-260

tool-fabricator

00000star/AGI_engineering_forge

When no existing engineering tool fits the problem, the fabricator creates a new one from scratch. Designs, writes, tests, and registers new computational tools at runtime. This is the AGI capability.

2026-03-260

Source

00000star

00000star/AGI_engineering_forge

Ouvrir le dépôt GitHub Voir les dépôts du créateur

Commande d'installation

Téléchargement

Exécuter dans Manus

Utile pourSOC

Ingénieurs aérospatiauxArchitecture et ingénierie17-2011L4

name	flight-controls
description	Design and simulate control systems — transfer functions, PID controllers, Bode plots, root locus, stability analysis, state-space modeling. Uses scipy.signal and sympy.
metadata	{"openclaw":{"emoji":"🎛️","requires":{"anyBins":["python3"]}}}

Control Systems Engineering

Usage

# PID step response
python3 /workspace/bridge.py scipy_solver '
from scipy import signal
num = [129.6, 324, 81]
den = [15, 131.6, 324, 81]
sys = signal.TransferFunction(num, den)
t, y = signal.step(sys, T=np.linspace(0, 5, 1000))
overshoot = (max(y) - 1.0) * 100
print(f"Overshoot: {overshoot:.1f}%")
print(f"Final value: {y[-1]:.4f}")
'

# Symbolic transfer function
python3 /workspace/bridge.py sympy_math '
s = symbols("s")
G = 100 / (s**2 + 10*s + 100)
print(f"DC gain: {limit(G, s, 0)}")
print(f"Poles: {solve(s**2 + 10*s + 100, s)}")
'

For visualization (Bode plots, step response plots):

python3 /workspace/bridge.py matplotlib_plot 'YOUR_PLOTTING_CODE'