skills/productionize-ml-code/SKILL.md

---
name: productionize-ml-code
description: Harden ML training, feature engineering, inference and evaluation code for reproducibility and safe production use.
---

# Productionize Ml Code

Use this skill only for its stated purpose. Follow the shared source-of-truth, permission and evidence rules in `../../references/workflow-contract.md`. Read `../../references/ml-production.md` for detailed method when necessary.

## Procedure
1. Inspect training/inference contracts, feature provenance, data splits and leakage risks.
2. Separate preprocessing, training, evaluation, inference and artifact versions.
3. Add schema checks, reproducible configurations, slice evaluations and meaningful baseline tests.
4. Check train/serve skew, serialization, resource needs and fallback behavior.
5. Report observed metrics only; provide an evaluation plan when data/runtime are missing.

## Handoff rule
State actual artifacts or grounded code findings and validation status. Never invent file paths, executed tests, tool access, or completed subagent work. Keep output proportionate to the user request.