By Tanya Lenz
Publication Date: 2026-10-01 18:13:00
AI agents are becoming a standard part of development workflows, but general-purpose agents weren’t built with specialized infrastructure software such as NVIDIA DOCA in mind. Without domain-specific knowledge, agents may fall back on guesswork. This is an issue in infrastructure development because every correction cycle takes time away from deployment.
DOCA is the unified software platform that unlocks the full potential of NVIDIA BlueField data processing units (DPUs) for agentic AI infrastructure. It spans accelerated networking, AI-native storage, in-silicon security, telemetry, and lifecycle management. It’s the development platform for teams building on NVIDIA BlueField.
DOCA AI agent skills are now available on GitHub. These skills provide a structured, verified foundation to address where general-purpose AI agents fall short on DOCA development. They provide agents with verified API signatures, hardware capability requirements, and build constraints.
This post explains what DOCA AI agent skills are and how they perform across four impactful DOCA development scenarios. It includes a side-by-side demo and how to get started using DOCA agent skills to build faster and ship more stable code on BlueField infrastructure.
What are DOCA AI agent skills?
DOCA AI agent skills are a standardized way to give AI agents new capabilities and expertise. The lightweight, open format is built around a SKILL.md file containing real API signatures, hardware…
