GNC Simulation Skill

SkillDev tools

Skill for guidance, navigation, and control system simulation and analysis

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the GNC Simulation Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/aerospace-engineering/skills/gnc-simulation/SKILL.md and read by ahel’s review.

Purpose

Provide guidance, navigation, and control system simulation and analysis capabilities including sensor modeling, filter design, and Monte Carlo analysis.

Capabilities

  • Navigation filter design (EKF, UKF)
  • Sensor error modeling (IMU, GPS, star tracker)
  • Guidance law implementation
  • Monte Carlo simulation execution
  • Covariance analysis
  • Hardware-in-the-loop support
  • Trajectory dispersion analysis
  • Performance verification

Usage Guidelines

  • Model sensor errors accurately based on specifications
  • Design navigation filters robust to expected error sources
  • Implement guidance algorithms for mission requirements
  • Run Monte Carlo simulations with realistic dispersions
  • Verify GNC performance across operational envelope
  • Document filter tuning and performance validation

Dependencies

  • MATLAB/Simulink
  • GNC simulation frameworks
  • HIL test systems

Process Integration

  • AE-011: Flight Control Law Development
  • AE-014: Mission Design and Analysis

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
gnc-simulation
Source
github.com/a5c-ai/babysitter