Scholar All-In-One: A research infrastructure for AI agents
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Updated
Apr 6, 2026 - Python
Scholar All-In-One: A research infrastructure for AI agents
Practical AI collaboration playbook for research, writing, reading, and coding: article, prompts, agent rules, and reusable skills.
AI research assistant for researchers: turns ideas into evidence-grounded outcomes with live paper retrieval, full-text reasoning, citation tracing, and proposal workflow planning.
A curated list of research-oriented skills usable in OpenAI Codex, covering writing, literature review, evaluation, and research workflows.
Markdown-first work-memory protocol for existing agents, with maintained knowledge, candidate notes, evals, and an example KB.
Shareable Claude Code infrastructure for PhD researchers — skills, agents, hooks, and rules for academic 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.
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.
One model gives answers. Cyber Colloquium gives you a meeting with multi-LLMs.
Turn Claude Code into an interactive scientific workspace — workflow, file system, and knowledge graph.
他山团队 (Tashan) 开发的 Claude Code 插件集合,为学术研究提供专业的工作流支持
Claude Code skills for researchers, by a researcher. Humans + agents exploring what hasn't been built yet — without losing alignment along the way.
面向 OpenClaw 的论文工作流引擎 / OpenClaw-first paper workflow engine for structured, evidence-aware, figure-aware, citation-consistent deliverables.
Production-style Codex skills for research workflows, starting with X Thread Context Capture.
AI-native multi-agent research workflow: parallel evidence gathering, 7-direction debate, and risk-gated analysis — structured output, not one-shot prompts.
A multi-agent compatible, Obsidian-friendly workflow for LLM-maintained markdown knowledge bases.
Local paper summarization workflow for Codex and Obsidian.
Manage EDA workflows with an agent that adapts, learns, and automates task execution using skill-based decision logic and knowledge reuse.
OpenCode-native port of ARIS for autonomous ML research workflows with local Codex review loops.
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