AI gets more useful when it has a playbook
Cortex Code includes specialized skills that package instructions, context, and workflows for recurring tasks. That may sound small, but it matters. General-purpose AI can be flexible, but enterprises usually care more about repeatability and accuracy.
Examples of skills that stand out
- Cost intelligence for spend monitoring
- Machine learning workflow support
- Streamlit development support
- AI functions for summarization, entity extraction, and translation
- Openflow support for connectors and movement of data
Why this is strategically important
Skills move AI from broad possibility to workflow specialization. That is often the difference between a tool that is interesting and a tool that becomes operationally useful.
Where consultants should pay attention
Specialized AI skills create openings for implementation strategy, governance design, enablement, and vertical-specific use cases. In other words, this is not just a product story. It is a services story too.