SKILLFOUNDRY: Building Self-Evolving Agent Skill Libraries from Heterogeneous Scientific Resources

1. 1Identify and collect heterogeneous scientific resources such as repositories, APIs, scripts, and papers
2. 2Develop a framework to integrate and operationalize these resources
3. 3Implement self-evolving mechanisms to update and expand the agent skill libraries
4. 4Evaluate and refine the framework through experimentation and testing

AI researchers and engineers can benefit from SkillFoundry as it enables the creation of more effective scientific agents, while data scientists and software engineers can contribute to the development of the framework

💡 SkillFoundry bridges the gap between abundant scientific knowledge and usable agent capabilities

🤖 SkillFoundry: a framework for building self-evolving agent skill libraries from scientific resources 📚