simple-auto-researcher

Automating academic paper search and download requires an end-to-end workflow that orchestrates retrieval, reading, and archiving. This skill modularizes those steps using frontmatter-driven configuration and OpenClaw tools to execute hands-off literature management tasks.

Frontmatter-driven configuration uses files like SKILL.md, PATHS.md, and PREFERENCES.md to define and drive research task execution. This mechanism ensures deterministic, repeatable processes for managing large collections of academic papers and notes.

OpenClaw orchestrates literature management by utilizing its built-in tools like exec, cron, sessions_spawn, read, and write. These components coordinate automated paper processing, ensure task determinism, and record execution logs for reliable audit trails.

Yes, this automated research workflow is specifically designed for researchers handling large collections of academic papers. It scales end-to-end automation across searching, downloading, reading, and archiving to manage extensive literature without manual intervention.

Organizing research notes and innovation points automatically is achieved by integrating knowledge organization directly into the end-to-end workflow. The skill manages these elements alongside paper archiving using frontmatter configuration and OpenClaw's read and write tools.

No specific external dependencies are required to run this automated academic research workflow. The system relies entirely on modular scripts, frontmatter files, and OpenClaw tool integration to execute and log the end-to-end literature management tasks.