inno-prepare-resources

To automate research preparation, you need a workflow that searches GitHub for related repositories and downloads arXiv paper sources. This skill executes that exact pipeline, querying a Prepare Agent for reference codebases and organizing arXiv sources for offline use.

Building a dataset description from an evaluation instance involves loading the instance details and extracting its core parameters. This skill automates that process, transforming raw evaluation data into a ready-to-use dataset description for research pipelines.

Yes, the research preparation workflow supports both Idea mode and Plan mode. It requires evaluation instance details, Ideation references, and Experiment code references to produce a ready-to-use dataset and bibliography in either mode.

Yes, you can use this to download arXiv paper sources for offline evaluation. It queries and retrieves arXiv sources automatically, organizing them alongside reference codebases to streamline your data gathering process.

Querying a Prepare Agent for reference codebases requires providing your evaluation instance details and output context. This skill automates that interaction, searching GitHub and querying the agent to supply reference codebases for your research planning.