academic-research-skills-codex

This Skill addresses the pain point of inefficiency across the entire academic research workflow. In practical research, tasks such as literature review, paper writing, experimental design, and code development are often scattered across different tools, leading to high switching costs and a tendency to miss critical information. This suite integrates deep research, academic paper writing, paper review, experiment management, and other functions into the Codex environment, enabling researchers to complete a series of tasks from literature retrieval to paper output without leaving the AI conversation.

Usage is straightforward. Simply install the plugin via the Codex CLI or Desktop. Once installed, you can invoke its built-in sub-skills using natural language commands, such as "Please help me conduct a literature review on XXX." It will automatically execute a multi-step deep research process, search for and organize core literature, and generate a structured review outline. It also supports functions like paper review, experiment report generation, and academic writing style checking—all performed within Codex's chat interface.

It is particularly suitable for researchers, university students, and research teams who need to complete academic work efficiently. This is especially true for those already using Codex as an AI coding assistant but who wish to further integrate their academic workflows into a unified management system. Whether writing course papers, preparing graduation projects, or conducting literature reviews for cutting-edge topics, it can significantly boost productivity.

It is recommended to install this tool uniformly at the beginning of your academic research and familiarize yourself with its sub-skill directory. Note that it is primarily designed for academic scenarios, and its outputs require verification and adjustment based on the researcher's domain knowledge. As it relies on the Codex platform, ensure your Codex version is compatible with the plugin. Additionally, this suite packages content from the upstream Claude Code ARS but maintains an independent version; please check the changelog when updating.