{"slug":"nvidia-tilegym-cutile-autotuning","source_name":"nvidia/tilegym-cutile-autotuning","name":"Nvidia/Tilegym Cutile Autotuning","description":"Use when adding, modifying, optimizing, or debugging CuTile autotuning code. Trigger signals: `exhaustive_search` / `replace_hints` / `hints_fn` / `cuda.tile.tune` in code, `autotune` in filenames, or correctness/performance issues in autotuned CuTile kernels. Covers: tune-once/cache/launch pattern, per-architecture configs (sm80–sm120), parameter space design (tile sizes, occupancy, num_ctas), and 7 common pitfalls with solutions.","version":1,"lift":{"pass_rate_delta_pts":50,"pass_rate_pct":100,"total_cases":22,"passed_cases":22,"tokens_delta_pct":156.5,"turns_delta_pct":0,"verdict":"pass","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-13T00:13:40.532110+00:00"},"skill_score":null,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":50,"with_pass_pct":100,"without_pass_pct":50,"tokens_delta_pct":156.5,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":21,"verdict":"pass","never_hurt":true,"completed_at":"2026-08-13T00:13:40.532110+00:00","run_id":"ffefde52-0554-40fb-b8e9-4c2451a008e2","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":"CC-BY-4.0 AND Apache-2.0","install_count":0,"manifest_hash":"fa9284839f8edb064889e5f6a14e9b1f87cb4e04015914035a6e5a9fe8da2ceb","raw_url":"https://app.decimal.ai/s/nvidia-tilegym-cutile-autotuning/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/nvidia-tilegym-cutile-autotuning"}