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To generate project documentation, this skill analyzes source code and configuration files like pom.xml and application.properties to extract technical details. It compiles this data into a structured markdown file, only prompting you for missing details.

You can update technical documentation by running this skill to scan your project artifacts. It identifies new API endpoints and configuration changes, reflecting them in your docs file while conducting a targeted interview to fill any information gaps.

A gap filling interview for project documentation is a targeted question process asking for information that cannot be derived directly from source code. It ensures complete technical writing by prompting the user only for missing details regarding messaging, authentication, or deployment.

Yes, automated documentation generation works with existing pom.xml and application.properties files. It scans these project artifacts to extract the project stack, local development setup, and configuration details, minimizing manual input requirements.

The best way to document project architecture and API references is using automated code analysis. This skill prioritizes information extraction from source code and configuration files, generating a comprehensive markdown document covering API references, messaging, and known limitations.

The limitation of automated code analysis for technical writing is its dependency on source code and configuration files. It cannot infer undocumented business logic or deployment specifics, requiring a targeted interview to fill these specific documentation gaps.