Literature-Code Workflow Skill for Random RNN

What problem does it solve?

This Skill addresses the complexity of managing the "literature → formula → code → data → figure → conclusion" workflow in Random RNN projects by providing a structured approach to link literature to code implementation.

Core Features & Use Cases

• Literature Management: Organizes and maps out literature references, formulas, and figures to code modules.
• Code Reproduction: Assists in reproducing experiments and diagnosing numerical issues with clear mappings.
• Data and Reports: Manages data products and diagnostic reports, ensuring reproducibility and traceability.
• Use Case: For a research team working on Random RNN, this Skill helps in systematically documenting and executing the workflow from literature review to code implementation and beyond.

Quick Start

Use the skill to map a new paper into the project workflow by creating a 'paper_id' directory and filling it with relevant 'card.md', 'equation_map.md', 'figure_map.md', and 'code_map.md' files.