docs-sources

To configure documentation sources for AI-assisted discovery, identify the platform framework and select a fetch strategy like llms.txt, GitHub raw, OpenAPI, or sitemap to generate a valid registry entry.

Detect documentation frameworks by analyzing repository configurations for AI-native signals. This process identifies platforms like Docusaurus, MkDocs, Mintlify, Sphinx, Nextra, and Fern to recommend appropriate fetch strategies.

Choosing the best fetch strategy depends on your detected documentation framework. Evaluate llms.txt, GitHub raw, OpenAPI, and sitemap options based on framework configuration to recommend the most compatible registry entry.

Yes, this docs source workflow supports framework detection for Mintlify and Fern platforms. It analyzes repository configurations to identify these frameworks and proposes a structured registry entry with the correct fetch strategy.

Validate new documentation sources by following a structured workflow that emphasizes AI-native signals and framework detection. This ensures the selected fetch strategy and homepage configuration are correct before integration.

Detecting AI-native signals is necessary when evaluating documentation platforms because it determines the optimal fetch strategy. This ensures accurate content discovery and proper registry configuration across different frameworks.