multi-repo-qwen-setup

multi-repo-qwen-setup is an MLOps & model serving skill for AI agents, published by hw-native-sys in the simpler repository on GitHub. Skillspace rates multi-repo-qwen-setup D (55/100) and it passed the safety scan; the rating is based on static analysis only.

Concrete qwen3-14B guide on NPU against the current worktree's simpler. Points at simpler's own in-repo qwen3_14b_decode example (zero cross-repo), then covers the two cross-repo paths — the pypto-serving runner (prefill/decode TPOT) and the pypto-lib decode_layer kernel (scheduler-overhead DFX). Defers cross-repo clone/install to multi-repo-setup, then gives the exact run commands (batch-1 and batch-16), the prefill ring/timeout gotchas that otherwise surface as 507018, how to read the per-token timing layers, and the kernel-level overhead-analysis flow. Invoke when running qwen3 on simpler, measuring decode/prefill TPOT, reproducing a qwen3 perf number, running qwen3 decode_layer overhead analysis, or chasing a 507018 on the qwen3 path.

Grade

D

Quality

55 / 100

Safety

Passed

GitHub stars

29

Unproven: rated by static analysis only, not yet compared head-to-head.

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