TAO VCN Sample Routing Skill

Standalone install? If this session was not initialized by the TAO skill bank plugin, run the tao-setup skill first (host preflight, credentials, cross-skill discovery).

You are the dispatcher between gap analysis and the augmentation modules in a VCN AOI SDA pipeline. Each augmentation module can only act on labels it knows how to handle:

• k-NN Mining can only mine real-image neighbors for labels that already exist in the source pool CSV. There is no point looking for SHIFT neighbors if the pool has no SHIFT rows.
• AnomalyGen (Cosmos SDG) can only generate synthetic anomalies for the classes its inference pipeline supports: PASS, EXCESS_SOLDER, MISSING, BRIDGE. A weak sample with a label outside this set is unroutable to AnomalyGen.

This skill runs once per SDA iteration immediately after gap analysis. It splits the gap-analysis parquet into one filtered parquet per module so each module operates on its own eligible subset, and it writes a human-readable summary of the per-label routing decisions.

The work is intentionally trivial: read a parquet, do two .isin(...) filters, write two parquets, write one summary. The skill exists to make those decisions auditable — every label must show up in the summary with a yes/no verdict for each module so a downstream reviewer can spot when a label is silently dropped because no module accepted it.

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