Ascend Profiling Anomaly Discovery Skill

Purpose

Analyze Ascend NPU profiling data through three parallel pipelines:

1. Structure breakdown: step → structure (layer) → block / side → op → PMU judgement — answers where the time goes.
2. Anomaly discovery: step → device busy union → bubble detection → anomaly tags → soft attribution — answers what looks unnatural and where hidden issues may lurk.
3. Model architecture analysis: FIA timeline → pass boundaries → layer classification → per-layer sub-structure → communication pipeline → architecture summary — answers what is this model and how does each component execute. Produces a separate Markdown report file.

The core philosophy is separation of concerns: "anomaly exists" is a hard fact derived from device intervals; "why it exists" is a soft attribution that may require additional evidence. Even under weak profiling configurations (no stacks, no shapes, sparse host events), the skill must still reliably surface device idle bubbles and risk labels.

Reference Files — When to Read

Read these before starting analysis: