During March 2025, this developer enhanced the Knowledge Graph extraction process in the camel-ai/camel repository by updating the agent prompt to enforce a strict output format and generate unique identifiers for nodes and relationships. Leveraging Python and expertise in Natural Language Processing and prompt engineering, they designed the prompt to adhere to defined class structures, which improved data integrity and reduced parsing errors. Their targeted approach addressed the challenge of inconsistent data extraction, resulting in more reliable and structured Knowledge Graph data for downstream analytics. The work demonstrated a focused application of prompt engineering to solve practical data quality issues.