Imbad0202/academic-research-skills Alternatives

choose for a Claude Code skill suite with the same idea-to-submission pipeline and a mentoring tone

将博导十年科研经验炼化为可直接调用的 AI 技能。从 Idea 构思到论文投稿，你的 AI 科研副导师。

choose for a broader multilingual library of 182 installable academic skills covering multiple fields

A curated, multilingual library of 182 installable AI agent skills for end-to-end academic research—spanning literature discovery, scientific writing, grant development, bioinformatics, drug discovery, clinical research, machine learning, and data analysis.

choose for a three-skill set covering reading, writing, and scientific computing in academic work

本仓库包含三个面向学术科研人员的Skills，覆盖从文献阅读、论文写作到科学计算的完整研究工作流。office-academic-skill 负责论文阅读报告与学术 PPT/Word 文档生成；research-writing-skill 提供论文写作、润色与审稿回复辅助；scientific-toolkit-skill 整合 MATLAB/Python 科学计算与期刊级图表生成。三个 Skill 专为中文科研用户设计，可在 Claude Code 和 codex 中一键调用。

choose for a ready-to-fork Claude Code template tailored to LaTeX/Beamer + R with replication protocols

A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.

choose for fully autonomous ML research loops instead of human-in-the-loop skills

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

choose for end-to-end fully automated paper generation rather than a Claude Code skill suite

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

choose for a self-evolving autonomous pipeline from idea to paper instead of manual supervision

Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞

choose for agentic tree search over a full autonomous discovery system rather than skills

The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

choose for an end-to-end autonomous workflow that still lets you steer experiments, not a skill pack

Agent Laboratory is an end-to-end autonomous research workflow meant to assist you as the human researcher toward implementing your research ideas

choose for a blueprint-driven runtime orchestrating the whole research pipeline over modular skills

A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.

choose for Apple Silicon users who want autonomous research loops in MLX without PyTorch

Apple Silicon (MLX) port of Karpathy's autoresearch — autonomous AI research loops on Mac, no PyTorch required.

choose for a lightweight autonomous research assistant instead of a Claude Code skill suite

🦞+🔬 NanoResearch: The Autonomous AI Research Assistant

choose for self-organizing agent teams in long-running experiments rather than a fixed skill pipeline

AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation

choose for an AI Scientist implementation driven by Claude Code or API with autonomous discovery

Kosmos: An AI Scientist for Autonomous Discovery - An implementation and adaptation to be driven by Claude Code or API - Based on the Kosmos AI Paper - https://arxiv.org/abs/2511.02824

choose for a general research/competition/innovation skill pack that also covers academic work

An AI workflow skill pack for research, competitions, and innovation projects.

choose for a multi-agent semi-automated assistant that spans academic research and software development

Semi-automated research assistant for academic research and software development. Supports Claude Code, Codex CLI, Kimi Code CLI, and OpenCode across ideation, coding, experiments, writing, and publication.

choose when you only need pre-submission stress-test review, not the full research pipeline

Pre-submission AI review stress-test for research papers. A Claude Code skill: review, verdict, revise, verify.

choose for focused planning and writing skills with quality checkpoints but no literature review

Systematic framework for planning and writing academic papers using Claude Code. Includes strategist (planning) and composer (writing) skills with quality checkpoints.

choose for a simple set of 30 writing prompt templates instead of a full installable skill suite

🎓 AI 科研论文写作助手 - 30 个 Prompt 模板覆盖论文写作全流程。支持中英文翻译、润色、文献综述、投稿回复、基金申请等。

choose for journal-specific formatting and submission skills rather than a general pipeline

Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的 Claude Code/Codex 期刊技能包，从选题、识别策略到表格规范与审稿回复全流程，助你快速发论文。

choose when you need to adapt a manuscript to a specific journal's writing conventions

Learn any journal's writing conventions from its published papers, then revise your manuscript to match — section by section.

choose for a gated LaTeX workflow targeting arXiv-ready review papers only

A highly customizable agentic harness for arXiv-ready ML/AI review papers (and beyond). It drives agentic AI like Codex CLI and Claude Code through a gated LaTeX workflow with verified BibTeX citations.

choose for a single economics-writing skill synthesizing expert style guides

Agent Skill that transforms AI assistants into expert economics paper writers. Synthesizes 50+ guides by Cochrane, McCloskey, Shapiro, Head, Bellemare, Goldin, Kremer. Compatible with Claude Code and OpenAI Codex.

choose for a standalone literature triage and reading tool, not something to add to a Claude Code agent

Research-paper workflow tool for literature triage and structured reading