🔄

DataPython

DALI Dynamic Mode

DALI Dynamic Mode is a Data skill for Claude Code, published by NVIDIA in skills.

3K stars345 forkson NVIDIA/skillsAdded 2026/08/17+3% in starsRepository updated 2026/08/17

View source on GitHub Download repo ZIP

agent-skillsagentic-aiai-agentsclaude-codecodexcoding-agentscudadeveloper-toolsllmomniversephysical-airagroboticssimulation

Install in seconds

Install DALI Dynamic Mode

Copy DALI Dynamic Mode into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/NVIDIA/skills/tree/main/skills/dali-dynamic-mode ~/.claude/skills/dali-dynamic-mode

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/NVIDIA/skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/dali-dynamic-mode/SKILL.md in NVIDIA/skills
Installs to: ~/.claude/skills/dali-dynamic-mode
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What DALI Dynamic Mode does

DALI Dynamic Mode guides AI agents in writing, reviewing, and migrating code that uses NVIDIA DALI's imperative dynamic-mode API (`nvidia.dali.experimental.dynamic`, ndd). Use it when working on ndd code or migrating pipeline-based DALI code to dynamic mode.

DALI Dynamic Mode is cataloged under Data on DirSkills. DALI Dynamic Mode comes from a repository tagged agent-skills, agentic-ai, ai-agents, claude-code and codex.

Documentation

README

Excerpt

DALI Dynamic Mode

Purpose

Guide AI agents in writing, reviewing, and migrating code that uses DALI's imperative dynamic-mode API, nvidia.dali.experimental.dynamic (ndd).

Instructions

This is the opening of the README. Read the full README on GitHub.

Frequently asked about DALI Dynamic Mode

What else does NVIDIA publish alongside DALI Dynamic Mode?
DALI Dynamic Mode is one of 25 skills that DirSkills catalogs from NVIDIA/skills, the repository it ships in. Its siblings there include AIQ Deploy, AIQ Research and AMC RTSP Calibration. Each one is a separate skill with its own page in this directory, installs the same way DALI Dynamic Mode does, and is maintained by NVIDIA in that same repository. The rest of the collection is listed on the NVIDIA/skills page.
How does DALI Dynamic Mode compare to other Data skills?
DALI Dynamic Mode ranks #250 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of DALI Dynamic Mode against them. Open each page to compare what they document and how they install.

More from NVIDIA/skills

DALI Dynamic Mode is one of 25 skills cataloged on DirSkills from NVIDIA/skills.

See all 25 skills →

AIQ Deploy

AIQ Deploy installs, runs, validates, and stops a local or self-hosted NVIDIA AI-Q Blueprint server. Use it when asked to deploy, troubleshoot, or shut down AI-Q infrastructure for the aiq-research skill.

AIQ Research

AIQ Research runs deep research requests through a reachable NVIDIA AI-Q Blueprint backend. Use it for research-shaped queries like "deep research on..." or "ask AI-Q about...", and to poll, resume, or follow up on AI-Q research reports.

AMC RTSP Calibration

AMC RTSP Calibration records clips from live RTSP camera streams and runs AutoMagicCalib calibration via its REST API. Use it when a user provides RTSP URLs or asks to calibrate live cameras.

AMC Setup Calibration Stack

AMC Setup Calibration Stack launches the AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when deploying auto calibration, launching AMC, starting MS+UI, or setting up auto-magic-calib with an NGC API key.

CUDA-Q Guide

CUDA-Q Guide walks users through installing CUDA-Q, writing quantum kernels, GPU-accelerated simulation, connecting to QPU hardware, and exploring built-in quantum applications.

Calibrate Sample Dataset

Calibrate Sample Dataset runs end-to-end calibration on the bundled sample dataset against a running AutoMagicCalib (AMC) microservice to verify a fresh AMC stack. Use it when the user asks to test the sample dataset, run sample calibration, or verify the AMC install.

More Data skills

DALI Dynamic Mode is one of 668 Data skills cataloged on DirSkills, ranked #250 by stars among them.

Browse all Data skills →

Benchmark Methodology

Benchmark Methodology scores competitors across nine weighted dimensions using explicit 1–5 rubrics and a tension plot. Use it after competitive-platform-analysis to produce comparable, evidence-anchored profile cards for a competitive report.

Jupyter Notebook

Jupyter Notebook provides a stateful Python REPL via a live Jupyter kernel (hamelnb) so variables persist across executions. Use it for iterative data exploration, API inspection, and complex code development.

Solana

Solana queries wallets, token holdings, transactions, NFTs, whale transfers, and network stats on the Solana blockchain with USD pricing via CoinGecko. Use it when you need to inspect an address, verify a transaction, check token metadata or prices, or monitor network health.