Yila AI is building an open skill ecosystem for academic research agents—
across disciplines and throughout the entire research lifecycle.
Yila AI 致力于构建面向全学科、覆盖学术研究全流程的智能 Agent，
并持续开源可复用、可组合的学术研究 Skills。
Academic work is not a single prompt. It is a connected process of finding evidence, understanding it, making defensible decisions, and communicating results clearly.
Discover → Read → Review → Analyze → Write → Visualize → Publish
Yila AI is creating reusable Skills for this entire journey—designed to work independently or compose into more capable research agents.
| Discover and understand | Analyze and create |
|---|---|
| Literature discovery | Reproducible research workflows |
| Paper reading | Academic writing and citation |
| Evidence-based literature review | Research figures and presentations |
Our public repositories will appear here as individual Skills become ready. We prefer releasing focused, useful building blocks over announcing repositories that are not yet usable.
- Evidence first. Research outputs should remain traceable to their sources.
- Researcher in control. Agents should strengthen scholarly judgment, not replace it.
- Composable by design. A Skill should be useful on its own and stronger as part of a workflow.
- Across disciplines. Good research infrastructure should serve the sciences, social sciences, humanities, and emerging interdisciplinary fields.
We welcome researchers and developers who want to contribute research methods, evaluations, scholarly data integrations, and discipline-specific workflows.
Read our contribution guide before proposing a Skill. As the open collection grows, this page will become the index for the complete Yila AI academic Skills ecosystem.