---
name: mission-trajectory-0fa2731209ff
description: Expert skill for space mission design and trajectory analysis
allowed-tools:
  - Read
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metadata:
  version: "1.0"
  category: aerospace-engineering
  tags:
    - space-systems
    - trajectory
    - orbital-mechanics
    - mission-design
graph:
  domains: [domain:aerospace-engineering]
  specializations: [specialization:aerospace-engineering]
  skillAreas: [skill-area:physics-simulation, skill-area:mathematical-reasoning, skill-area:computational-geometry]
  roles: [role:research-engineer, role:computational-scientist]
---

# Mission Design and Trajectory Skill

## Purpose
Enable comprehensive space mission design and trajectory analysis including orbital mechanics, launch window optimization, and maneuver planning.

## Capabilities
- Orbital mechanics calculations
- Launch window analysis
- Delta-V budgeting and optimization
- Transfer trajectory design
- Maneuver planning and sequencing
- Rendezvous and proximity operations
- Entry, descent, and landing analysis
- STK and GMAT integration

## Usage Guidelines
- Define clear mission objectives and constraints
- Optimize trajectories for propellant mass or time of flight
- Consider launch vehicle performance and constraints
- Account for perturbations in trajectory propagation
- Plan contingency maneuvers for off-nominal conditions
- Document trajectory design assumptions and margins

## Dependencies
- STK (Systems Tool Kit)
- GMAT
- MATLAB Aerospace Toolbox

## Process Integration
- AE-014: Mission Design and Analysis


---
Source attribution: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Data & Analytics, Education & Research, Product Management, Project & Program Management
Roles: Data Scientist, Product Manager, Project Manager, Researcher, Technical Product Manager
Specialties: Specialty not specified
Tools: Gmat, Matlab, Stk
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 547111fc1a08391464924064e7df975684ea1dc31c45a358b8bb12e969758322