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This repository is a collection of agent skills for Claude Code and Codex that covers the academic research workflow, from reading literature and writing papers to scientific computing and figure generation. The skills are packaged as self-contained modules that the host coding assistant invokes independently, so a user loads only the workflow they need. They are tailored to Chinese-speaking researchers, and some outputs are Chinese or bilingual. Writing and document tasks are the core of the collection. For papers, the skills plan outlines, draft each section, polish wording, logic and termi
This project is a scientific agent framework and workflow orchestrator designed to extend large language models with specialized tools for genomic, chemical, and biological research. It provides a system for planning research hypotheses and executing automated workflows by integrating scientific databases with dynamic code execution. The framework includes a cheminformatics modeling suite for predicting molecular bioactivity and performing virtual screening, alongside a bioinformatics analysis toolkit for processing genomic sequences and single-cell data. It also features an academic document
research-writing-skill is a prompt-driven toolkit of reusable large language model skills for academic paper writing. It guides researchers through planning a paper with a multi-round question-and-answer session, drafting one chapter at a time into separate files, polishing the text, and running a self-review pass before submission to a journal or committee. Writing tasks are routed to guidance for engineering, social science and humanities, medical, or legal papers so that tone and structure suit the field. Several capabilities set it apart from a general writing helper. A humanizing pass re
This project is a machine learning research automation system designed to manage the full research lifecycle, from idea discovery to final paper submission. It utilizes markdown-based skill templates to execute autonomous research tasks and manage iterative loops of deep review and experimentation. The system distinguishes itself through integrated capabilities for academic communication and integrity auditing. It can automate the generation of LaTeX papers, conference slide decks, and evidence-grounded peer review rebuttals. To ensure rigor, it employs cross-model review routing and adversar
PaperSpine is a local-first academic paper writing assistant that takes a research direction, existing materials, or experiment data and produces a full illustrated manuscript. It works through ordered phases: literature search, argument mapping, outlining, drafting, figure making, review, and typesetting. Every claim, citation, and figure is traced back to real source materials, so statements in the paper can be checked against their evidence.
The main features of wubing2023/paperspine are: Academic Paper Generators, Paper Drafting Assistants, Technical Writing and Research, Journal Submission Package Preparers, Academic Figure Pipelines, Manuscript Claim Tracing, Evidence-Backed Finding Generation, Evidence-Labeled Agent Claims.
Projects with overlapping indexed features include: zlanqing/codex-claude-academic-skills — This repository is a collection of agent skills for Claude Code and Codex that covers the academic research workflow,… k-dense-ai/claude-scientific-skills — This project is a scientific agent framework and workflow orchestrator designed to extend large language models with… norman-bury/research-writing-skill — research-writing-skill is a prompt-driven toolkit of reusable large language model skills for academic paper writing.… wanshuiyin/auto-claude-code-research-in-sleep — This project is a machine learning research automation system designed to manage the full research lifecycle, from… wookai/paper-tips-and-tricks — This project is a collection of methodological guides and standards for academic document workflows, specifically… garrettj403/scienceplots — SciencePlots is a Matplotlib style library and scientific plotting framework designed to automate the formatting of…