R
Agent skill for Data Scientist, Data Analyst, ML / AI Engineer, published by clawic. Project details and file access are provided by the publisher.
950,302 AI resources indexedWorking toward the world’s largest AI resource index.
Reusable instructions for compatible AI agents.
Counts cover every published resource in this section. A resource can belong to several fields and platforms.
Agent skill for Data Scientist, Data Analyst, ML / AI Engineer, published by clawic. Project details and file access are provided by the publisher.
Agent skill for ML / AI Engineer, Data Scientist, Data Engineer, published by clawic. Project details and file access are provided by the publisher.
Agent skill for ML / AI Engineer, Backend Developer, Product Manager, published by clawic. Project details and file access are provided by the publisher.
Agent skill for DevOps / SRE, Backend Developer, Data Engineer, published by clawic. Project details and file access are provided by the publisher.
Agent skill for IT Operations, DevOps / SRE, Backend Developer, published by clawic. Project details and file access are provided by the publisher.
Agent skill for Backend Developer, Full-Stack Developer, DevOps / SRE, published by clawic. Project details and file access are provided by the publisher.
Agent skill for Backend Developer, DevOps / SRE, QA / Test Engineer, published by clawic. Project details and file access are provided by the publisher.
Agent skill for Frontend Developer, Backend Developer, Full-Stack Developer, published by clawic. Project details and file access are provided by the publisher.
Agent skill for Frontend Developer, Backend Developer, Full-Stack Developer, published by clawic. Project details and file access are provided by the publisher.
Agent skill for Data Analyst, Data Scientist, Backend Developer, published by clawic. Project details and file access are provided by the publisher.
Agent skill for DevOps / SRE, Backend Developer, Frontend Developer, published by clawic. Project details and file access are provided by the publisher.
Design and operate databases avoiding common scaling, reliability, and data integrity traps.
Try a broader search or clear some filters.
Platform labels describe intended use. Read each resource's author credits, requirements and available access methods.