Xla Tuning | Agent Skills Atlas

About this skill

Find the XLA flag / NCCL env-var combination that maximizes steady-state TGS for one (model × parallelism) cell. Produces an evidence-backed leaderboard, mechanistic explanation of the winning flag, and a deployment recipe. Use when the user asks to tune XLA flags, tune NCCL, find best collective-permute / all-gather threshold, optimize FSDP/PP/TP, close a parallelism-vs-parallelism throughput gap, or sweep cross-iteration prefetch / overlap-limit / async-stream-priority knobs for a specific model.

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Automated security scan: Partial

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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: 0383d82ead325ee022094b915a89dfc04858b67bf46ef7ddecb1cb47eb55260a

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Original listing metadata

Original name

xla-tuning

Original description

About this listing

Category: Engineering
Reported license: MIT
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.