Skills

Academic Paper Writing Process 2.0

Input the paper title and expected research ideas, and the system will automatically retrieve references, data files and benchmark papers from the database, call Stata to conduct empirical analysis, and autonomously complete the final draft of an academic paper that reaches the level of SSCI Q2/CSSCI in the entire process. There is no need to execute step by step or ask the user questions in the middle.

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Academic Paper Writing Process 2.0 preview 1

Why we love this skill

This skill is the ultimate tool for academic paper writing. It provides comprehensive, high-level academic support throughout the entire process, from literature review and data analysis (Stata) to full-text writing, based on your ideas. It is especially suitable for researchers in economics and social sciences who need to write SSCI or CSSCI-level papers, ensuring the production of rigorous and professional academic results.

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Instructions

The author has set the instructions to private. Below is a brief overview.

This skill aims to provide one-stop academic paper writing support for doctoral students and researchers in economics and social sciences. It enables users to independently complete a final draft of an academic paper reaching the level of an SSCI Q2 or Chinese CSSCI journal, requiring only minor revisions before submission. It is particularly suitable for researchers seeking professional guidance during the writing process to ensure a rigorous structure, clear logic, and adherence to academic standards. The skill first engages in a brief interaction with the user to gain a deep understanding of their research conception, design, and expected conclusions, ensuring that subsequent writing aligns perfectly with the user's academic judgment. Next, it automatically scans the user-provided database and, combined with real-time web searches, constructs a structured literature matrix containing 60-80 core articles. In the data analysis phase, the skill simulates the Stata workflow, performing a full suite of econometric analyses, from data preprocessing to benchmark regression, endogeneity handling, robustness testing, mechanism analysis, and heterogeneity analysis, generating all the necessary statistical tables for the paper. Finally, based on the literature and data analysis results, it strictly adheres to academic journal standards to write a complete paper including an abstract, introduction, literature review, theoretical framework, research design, findings, and conclusions. Before the final output, the paper undergoes rigorous red-blue team quality review and multi-dimensional consistency self-checks to ensure academic rigor and submission quality. The final output paper will include the complete main text, references, and all data analysis appendices, along with a detailed explanation of the writing process.

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