{"slug":"wshobson-spark-environment-setup","source_name":"wshobson/spark-environment-setup","name":"Wshobson/Spark Environment Setup","description":"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.","version":1,"lift":{"pass_rate_delta_pts":59.09,"pass_rate_pct":100,"total_cases":22,"passed_cases":22,"tokens_delta_pct":48.1,"turns_delta_pct":0,"verdict":"pass","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-09T02:47:26.228689+00:00"},"skill_score":1,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":59.09,"with_pass_pct":100,"without_pass_pct":40.9,"tokens_delta_pct":48.1,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"pass","never_hurt":true,"completed_at":"2026-08-09T02:47:26.228689+00:00","run_id":"9f8a130a-ac47-4217-b6eb-aa0169b21da5","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"MIT","install_count":0,"manifest_hash":"95bc1ed775a6e4f546c50d507c308fcfde9164be0256b6ea5685c9dd681318e4","raw_url":"https://app.decimal.ai/s/wshobson-spark-environment-setup/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/wshobson-spark-environment-setup"}