What problem does it solve? It automates the final stage of an academic research workflow by converting structured research findings, logic diagrams, and literature review drafts into properly formatted Feishu (Lark) cloud documents with mandatory read-back verification. ## Core Features & Use Cases - Feishu Document Generation: Creates academic-style cloud documents with standardized sections including core conclusions, literature maps, thematic chapters, and references. - Mermaid Whiteboard Insertion: Embeds core logic diagrams as Mermaid whiteboards at the correct document position via lark-cli commands. - Read-Back Validation: Fetches the created document and runs automated checks on structure, citations, figure placement, and formatting compliance. - Use Case: After completing a literature review workflow, deliver the full review draft, multi-dimensional literature map, and logic graph as a verified Feishu document ready for sharing. ## Quick Start Deliver the completed research results and literature review draft as a Feishu cloud document with the logic graph inserted and verified.