Back to Prompt Library
implementation
Setup CrewAI CCGT Crew
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Build a CCGT Power Efficiency Optimizer with CrewAI
Format
Code-aware
Lines
6
Sections
2
Linked challenge
Build a CCGT Power Efficiency Optimizer with CrewAI
Prompt source
Original prompt text with formatting preserved for inspection.
6 lines
2 sections
No variables
0 checklist items
from crewai import Agent, Task, Crew, Process
# Define agents for CCGT thermal efficiency optimization
thermal_engineer = Agent(
role='Thermal Power Specialist',
goal='Maximize combined-cycle heat rate efficiency under high ambient temperatures'
)Adaptation plan
Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.
Keep stable
Hold the task contract and output shape stable so generated implementations remain comparable.
Tune next
Update libraries, interfaces, and environment assumptions to match the stack you actually run.
Verify after
Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.