A new agent skill has been developed to make large language models (LLMs) write documentation in ASD-STE100 Simplified Technical English, a controlled language standard used in aerospace and defense. This skill aims to eliminate AI-generated errors and ensure clarity and consistency in technical documents, according to the GitHub repository AminBlg/SimpleEnglish.
The agent skill works by enforcing the rules of ASD-STE100, which restricts vocabulary and grammar to reduce ambiguity. It guides LLMs to produce text that complies with these standards, preventing the typical 'AI slop' or inaccuracies often found in machine-generated content. The project is hosted on GitHub and includes code and examples demonstrating how the skill integrates with LLMs to improve documentation quality.
This development is significant because ASD-STE100 is widely used in industries where precise communication is critical, such as aerospace and defense. Automating compliance with this standard through AI can reduce manual editing and speed up document creation. It also addresses a common challenge in AI-generated technical writing, where maintaining strict language rules is essential for safety and regulatory reasons.
The GitHub repository AminBlg/SimpleEnglish, where the agent skill is available, serves as a resource for developers and organizations looking to implement this capability. The project’s open-source nature allows for community contributions and ongoing improvements to the skill’s effectiveness in producing ASD-STE100 compliant documentation.