@PierceZhang34: Sharing an open collaborative repository focused on AI-assisted research: Awesome Vibe Research. The core goal is to collect and curate reusable, verifiable, and evolvable AI-assisted components across the full research workflow (from idea generation to paper publication and dissemination), including: Agents, Skills...

Sharing an open collaborative repository focused on AI-assisted research: Awesome Vibe Research Project core goal: It collects and curates reusable, verifiable, and evolvable AI-assisted components across the full research workflow (from idea generation to paper publication and dissemination), including: Agents Skills Workflows Tools Best Practices The repository's inclusion criteria: Clearly oriented towards research scenarios (not general-purpose AI assistants) Has runnable code or reusable workflows Project is still maintained (updated in the last 6 months) Documentation or README is clear and easy to get started Addresses research pain points with practical examples Open source or has a free available version The project emphasizes the "Vibe Research" philosophy: researchers provide high-level guidance and creative judgment, while AI agents handle heavy, repetitive tasks (such as literature review, code experiments, plotting, writing, etc.), enabling human-machine collaboration to accelerate scientific discovery. The repository originated from the "Doing Research with Agents" series of salons, aiming to curate practical experiences and open-source projects into a community knowledge base. This is an "AI research toolkit + best practices repository", especially suitable for researchers, students, and developers who want to use AI (especially agents) to improve research efficiency. If you are working on AI for Science, agent applications, or academic work, this repository is worth starring and following. Portal: https://github.com/modelscope/Awesome-Vibe-Research…