---
name: gas-turbine-cycle-7f9f5a0b3f5a
description: Expert skill for gas turbine engine thermodynamic cycle analysis and optimization
allowed-tools:
  - Read
  - Write
  - Glob
  - Grep
  - Edit
  - WebFetch
  - WebSearch
  - Bash
metadata:
  version: "1.0"
  category: aerospace-engineering
  tags:
    - propulsion
    - gas-turbine
    - thermodynamics
    - cycle-analysis
graph:
  domains: [domain:aerospace-engineering]
  specializations: [specialization:aerospace-engineering]
  skillAreas: [skill-area:physics-simulation, skill-area:mathematical-reasoning, skill-area:statistical-analysis]
  roles: [role:research-engineer, role:computational-scientist]
---

# Gas Turbine Cycle Analysis Skill

## Purpose
Provide comprehensive gas turbine engine thermodynamic cycle analysis capabilities for turbofan, turbojet, and turboprop engine design and optimization.

## Capabilities
- NPSS and GasTurb model setup and execution
- Component matching and off-design analysis
- Turbofan, turbojet, turboprop configuration
- Performance map generation and interpolation
- Bleed and power extraction modeling
- Transient performance analysis
- SFC optimization studies
- Engine inlet and nozzle integration

## Usage Guidelines
- Select appropriate component models based on engine configuration
- Validate component maps against available test data
- Consider off-design performance across the flight envelope
- Account for bleed and power extraction in system-level analysis
- Optimize cycle parameters for specific mission requirements
- Document assumptions and limitations for each analysis

## Dependencies
- NPSS (Numerical Propulsion System Simulation)
- GasTurb
- MATLAB

## Process Integration
- AE-004: Gas Turbine Cycle 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
Roles: Data Scientist
Specialties: Specialty not specified
Tools: Gasturb, Matlab, Npss
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 52badfd63a02689b6eb2ea9c78e647722abc9f2e8d999030dca022c59b4a6928
