oracle
DevelopmentBest practices for using the oracle CLI (prompt + file bundling, engines, sessions, and file attachment patterns)....
ml-pipeline-workflow
Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.
Installation
Copy SKILL.md to your skills directoryRelated Skills You May Like
Discover more AI agent skills in the same category to enhance your workflow automation.
Bash Linux Mastery
DevelopmentThis skill provides a comprehensive guide to Bash and Linux terminal patterns, enabling users to efficiently manage file...
Azure Data Lake Storage Gen2 Python SDK
DatabaseThis skill allows you to interact with Azure Data Lake Storage Gen2 using the Python SDK. ADLS Gen2 provides a hierarchi...
Mixpanel Automation
Analytics & DataThis skill streamlines Mixpanel product analytics by automating common tasks through Composio's Mixpanel toolkit via Rub...
Incident Response Smart Fix
This skill implements a sophisticated debugging and resolution pipeline that leverages AI-assisted debugging tools and o...
azure-ai-voicelive-java
DevelopmentAzure AI VoiceLive SDK for Java. Real-time bidirectional voice conversations with AI assistants using WebSocket....
Have a Skill to Share?
Join the community and help AI agents learn new capabilities. Submit your skill and reach thousands of developers.