research

Automated primary source research collects data from official documents and APIs, then outputs findings as a properly cited Markdown file. You trigger the process with a topic question and a target repository for saving the research output.

Documenting information gathering in a GitHub repository requires placing Markdown files into a sensible directory structure. This skill ensures consistent formatting within existing repositories by organizing cited research notes appropriately.

Yes, you can collect data from source code and official documents without manual searching. The automated research process investigates topics from primary sources and generates detailed documentation autonomously.

No specific dependencies are required to initiate automated documentation for research notes. You simply provide a question you need to investigate and a target repository where you would like to save the generated Markdown output.

AI primary source research automates collection and Markdown generation but relies on the accessibility of official documents, source code, and APIs. It is designed for thorough information gathering rather than real-time data fetching.

Automated Markdown generation handles source citations by properly citing the primary sources within the output file. This ensures the detailed documentation maintains traceability for all collected information gathering.