Scholar All-In-One: A research infrastructure for AI agents

Claude Code for academics — skills, agents, and setup guides

Practical AI collaboration playbook for research, writing, reading, and coding: article, prompts, agent rules, and reusable skills.

AI research workspace with a persistent paper database, structured evidence extraction, hybrid search, and proposal workflows.

Shareable Claude Code infrastructure for PhD researchers — skills, agents, hooks, and rules for academic workflows

A curated list of research-oriented skills usable in OpenAI Codex, covering writing, literature review, evaluation, and research workflows.

Karpathy-style personal wiki for LLMs - markdown + frontmatter, no vector DB, no RAG. Built for Claude Code, works with any file-editing AI agent.

Semi-automated research assistant and local knowledge base for paper analysis, ideation, coding, experiments, writing, and publication workflows.

Markdown-first work-memory protocol for existing agents, with maintained knowledge, candidate notes, evals, and an example KB.

PaperSprint: Scrum-inspired paper agent skill for review, revision, and R&R

Research Pilot helps AI agents understand, maintain, and advance research projects through papers, claims, evidence, experiments, and human-gated updates.

不是刷论文的信息流，而是把主线论文沉淀成 HTML 档案的自托管研究情报系统。

EDAgent is a skill-based LLM agent designed to assist EDA research workflows, routing user requests to appropriate skills for code analysis, debugging, experiment setup, and research automation.

A complete DevOps framework for reproducible LaTeX research paper workflows with CI/CD, versioning, and standardized project structure.

Enhance research paper writing by organizing workflows, improving structure, and supporting self-review for clear, logical, and well-aligned content.

An AI-driven research workflow for generating ideas, running experiments, and writing scientific papers.

Agent plugins for CN and EN journal targeting: candidate discovery, source verification, risk screening, and 2+2 journal decision matrices.

An operating system for autonomous research — from literature to manuscript inside a governed, checkpointed loop.

AI research-to-manuscript workflow for academic writing: literature search, source verification, research wiki, argument trees, outlines, drafts, reviews, citations, DOCX export, and thesis-destroyer workflow automation.

Public Claude Code workflow for academic research: 32 skills, 4 sub-agents, 3 hooks, MCP catalog (stdio + claude.ai OAuth), Notion + Telegram task orchestration. Fork-and-adapt; cross-platform (Windows + macOS). Personalization via ~/.claude/state/personal_config.json.