model:lit-review

What problem does it solve? Weekly literature sharing meetings produce scattered, unstructured meeting notes that are hard to search and reuse. This Skill converts papers, arXiv links, and blog posts into a consistent structured format so the model group can review and retain research knowledge. ## Core Features & Use Cases - Structured Extraction: Parses PDFs and web pages, then extracts problem, method, experiment, result, and takeaway fields for each source. - Unified Output Schema: Generates per-paper YAML records with relevance to quant, possible model features, and implementation risk ratings. - Group Knowledge Candidates: Submits summaries through a governed knowledge-candidate interface for review instead of directly editing protected group memory. - Use Case: Before the weekly model group meeting, feed three arXiv papers on alpha factors into the Skill and receive a ready-to-present markdown summary plus structured notes for the group knowledge base. ## Quick Start Ask the agent to structure these three paper links into literature review notes for this week's model group sharing session, covering alpha and portfolio topics.