Accessibility Compliance
Implement WCAG 2.2 compliant interfaces with mobile accessibility, inclusive design patterns, and assistive technology support. Use when auditing accessibility, implementing ARIA…
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Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX Spark, hitting libcudart or wheel-ABI errors on aarch64, or choosing between NGC containers and bare pip installs.
Install
Run this in your project folder. It works with Claude Code, Cursor, Codex and dozens of other agents.
$ npx skills add wshobson/agents --skill spark-environment-setupNeeds Node.js. Add -g to install for every project, or -a claude-code to skip the agent picker.
How to use Spark Environment Setup
Once it's installed, Claude reads this skill on its own whenever a request matches what it's for, so you don't have to mention it by name. In Claude Code you can also run it directly by typing /spark-environment-setup.
It contains no scripts, only instructions and reference files, so it can't run code on its own.
What the instructions cover
- 1When to Use This Skill
- 2Container-First Rule
- 3The ABI Rule
- 4Component Quick Table
- 5Verification Commands
- 6Next Steps
Section headings from the skill's SKILL.md file.
What's inside · 3 files
- SKILL.md
- references/container-workflow.md
- references/stack-matrix.md
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