Description
SimpleEnglish is a specialized agent skill hosted on GitHub, developed to enable Large Language Models (LLMs) to produce technical documentation compliant with ASD-STE100 Simplified Technical English standards. This project addresses the critical need for clear, unambiguous, and consistent technical communication, especially in industries where precision is paramount, such as aerospace and defense.
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The repository contains various components essential for the skill's functionality, including `.agents/plugins`, `.claude-plugin`, `.codex-plugin`, and `skills/simple-english`. These elements facilitate the integration of the Simplified Technical English (STE) writing guidelines into LLM outputs. The project also includes `prompts` to guide the LLMs, `examples` to demonstrate the skill in action, and `evals` for rigorous testing and validation of the generated content against STE rules.
Regular updates and commits, as evidenced by the commit history for various directories, indicate active development and refinement of the skill. For instance, recent commits focus on wiring Codex hooks, fitting Claude payloads, and removing self-contradicting elements from the skill, ensuring its robustness and accuracy. The `tools/ste-dictionary` component further supports the adherence to STE by providing a controlled vocabulary and word-choice linting capabilities.
SimpleEnglish is particularly valuable for developers and technical writers looking to leverage AI for documentation generation while maintaining high standards of clarity and compliance. By automating the application of STE rules, it helps reduce ambiguity, improve readability, and streamline the review process for technical manuals, guides, and other critical documents. The open-source nature of the GitHub repository encourages community contributions and further enhancements to the skill.
- CategoryNatural Language Processing Tools
- Pricing ModelOpen source
- DeploymentCloud
- PlatformsWeb
SimpleEnglish's Core Features
ASD-STE100 Simplified Technical English compliance
LLM agent skill for documentation generation
Integration with Claude and Codex models
Includes prompts for guiding LLM output
Provides examples of STE-compliant text
Evaluation tools for verifying adherence to STE
Controlled vocabulary and word-choice linter
Modular plugin architecture
Active development and commit history
Open-source project on GitHub
Supports clear and consistent technical writing
Reduces ambiguity in AI-generated content
Getting Started with SimpleEnglish
Clone the repository: Use `git clone` to download the SimpleEnglish project to your local machine.
Explore components: Navigate through directories like `skills/simple-english`, `prompts`, and `evals` to understand the project structure.
Review examples: Examine the `examples` directory to see how the STE agent skill generates documentation.
Utilize evaluation tools: Run the `evals` to test the compliance of LLM-generated text with ASD-STE100 standards.
Integrate plugins: Adapt the `.claude-plugin` or `.codex-plugin` for your specific LLM integration needs.
Contribute: Fork the repository and submit pull requests to suggest improvements or new features.
SimpleEnglish's Use Cases
- Technical Documentation Generation
- AI-Assisted Content Creation
- Quality Assurance for AI Text
- Streamlining Technical Writing
- Aerospace and Defense Documentation
- Developer Tooling for LLMs
