z-asset/za_report: An Academic Writing Workflow Plugin for Asset Pricing and Machine Learning
z-asset/za_report is an academic writing plugin for DeepSeek Harness (DSH), designed for researchers in asset pricing and machine learning. It integrates literature review, data processing, model training, and report/PPT generation, automating research workflows through natural language commands. Licensed under the MIT License, it aims to improve researchers' efficiency by standardizing workflows.
Read Morez-asset/za_ppt: Generate Beamer/Quarto Presentation Slides from Academic Papers
z-asset/za_ppt is a plugin in the DeepSeek Harness (DSH) ecosystem, designed to reduce the time spent on report writing and slide preparation in asset pricing and machine learning research. It focuses on converting research papers into structured Beamer or Quarto slide decks. The plugin covers five core capabilities: literature review, data processing, model training, report writing, and slide preparation, and supports installation via dsh plugin or npm. Its domain calibration is centered on empirical asset pricing and machine learning. It depends on @deepseek-ai/cordis and dsh-skill and is released under the MIT License.
Read MoreZ-Asset/ZA_literature: A Literature Review Tool for Asset Pricing and Machine Learning
DeepSeek Harness (DSH) has released the Z-Asset/ZA_literature plugin, designed to integrate key stages in the research workflow for empirical asset pricing and machine learning, including literature search, data processing, model training, report writing, and presentation creation. The plugin provides core capabilities such as literature review, data evaluation, model training, and document generation, and supports command-based installation with on-demand triggering within DSH sessions. It is purpose-built for research scenarios involving asset pricing, cross-sectional return forecasting, and deep learning, relies on a specific skill structure, runs through Cordis, and is open-sourced under the MIT License.
Read MoreZ Research · Data Stage: A Data Discovery and Quality Assessment Plugin for Asset Pricing and Machine Learning
Z Research · Data Stage is a dedicated plugin within the DeepSeek Harness ecosystem for empirical asset pricing and machine learning research. It addresses the time-consuming challenges of data discovery and quality assessment through standardized workflows, supporting tasks such as data processing, model training, and report generation. Users can install it via CLI or npm and directly trigger its features using natural language instructions in a DSH session. The plugin relies on specific peer dependencies and is well suited to researchers who need to process financial and AI data efficiently, significantly reducing manual effort and operational costs.
Read More@zasset/za-analysis: An End-to-End Analytics Plugin for Asset Pricing and Machine Learning Research
DeepSeek Harness (DSH) offers an end-to-end plugin named ZA Research Analysis, specifically designed for empirical asset pricing and machine learning research. The plugin integrates full-workflow automation for literature reviews, data processing, model training, and report/PPT generation. Users can install it via the command line and trigger relevant skills through natural-language instructions within DSH sessions, making it suitable for research scenarios such as factor models and cross-sectional return forecasting.
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