NVIDIA Agent SkillsvsMake (Integromat)

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

NVIDIA Agent Skills

Developer Tools

NVIDIA-verified skills for safer AI agent workflows across CUDA-X, NeMo, Omniverse, and physical AI

Full review →Website ↗

Make (Integromat)

Automation Platforms

Visual automation platform connecting 1500+ apps

Full review →Website ↗
FeatureNVIDIA Agent SkillsMake (Integromat)
CategoryDeveloper ToolsAutomation Platforms
PricingFree (open-source catalog and GitHub repo)Free + Core $9/mo
GitHub Stars——
PlatformsGitHub, macOS, Linux, WindowsWeb
Key Features
  • ✓ NVIDIA-verified agent skills
  • ✓ Portable SKILL.md instruction sets
  • ✓ Machine-readable skill cards
  • ✓ Detached signature verification
  • ✓ Risk scanning before publication
  • ✓ Daily catalog sync from product repos
  • ✓ CUDA-X, NeMo, Omniverse, RAG, and physical-AI workflows
  • ✓ Compatible with Claude Code, Codex, Cursor, and other skills-capable agents
  • ✓ Visual builder
  • ✓ 1500+ integrations
  • ✓ AI modules
  • ✓ Webhooks
  • ✓ Data stores
  • ✓ Error handling
Pros
  • + Official NVIDIA source with public GitHub repo
  • + Adds provenance, signatures, risk scanning, and skill cards to agent instructions
  • + Covers concrete GPU, simulation, RAG, data, and physical-AI workflows
  • + Works as vendor-specific operational guidance instead of generic prompt snippets
  • + Useful for teams evaluating agent skills before Claude Code, Codex, or Cursor rollout
  • + 1,500+ app integrations
  • + Powerful visual editor
  • + Complex logic support
  • + Reliable execution
  • + Good error handling
Cons
  • − A verified catalog is not the same as a safe local install for every skill
  • − Some skills may require NVIDIA hardware, platform accounts, or product-specific setup
  • − Teams still need to inspect permissions, dependencies, and generated actions before use
  • − Evaluation and quality metrics are still rolling out according to NVIDIA docs
  • − Pricing based on operations
  • − Can be expensive at scale
  • − Learning curve for advanced features
  • − Some integrations limited
Tags
nvidiaagent-skillsskillsdeveloper-toolscudanemoomniversephysical-aisecuritycodexclaude-codecursor
automationno-codeintegrationsworkflowapi

Want to compare different tools?

← Back to compare picker

Related Comparisons

NVIDIA Agent Skills vs Semantic Kernel →Make (Integromat) vs Semantic Kernel →NVIDIA Agent Skills vs Anthropic MCP →Make (Integromat) vs Anthropic MCP →NVIDIA Agent Skills vs Vercel AI SDK →Make (Integromat) vs Vercel AI SDK →NVIDIA Agent Skills vs Instructor →Make (Integromat) vs Instructor →NVIDIA Agent Skills vs Streamlit →Make (Integromat) vs Streamlit →NVIDIA Agent Skills vs Langflow →Make (Integromat) vs Langflow →