trainer-train-code

name	trainer-train-code
description	Own the end-to-end trainer loop for Python code targets optimized with Microsoft Trace (nodes, bundles, models, and trainable agent components). Use this whenever the caller needs to research, synthesize test-based datasets, optimize, validate, and write back a trained candidate for a code-type target. Prefer this specialized loop for any Python file or callable that benefits from deterministic, test-based or benchmark-based feedback rather than open-ended language instruction quality.
argument-hint	Describe the target Python file or component, the repository root, the test or benchmark command used as the feedback signal, the available stage capabilities, and any existing trace nodes, bundles, or models already in scope.
license	MIT
compatibility	Python 3.11+. Requires Microsoft Trace (trace-opt package). Works in repositories that keep trainer artifacts in `.trainer-workspace/` next to the selected target.
metadata	{"author":"Tyler Kendrick","version":"0.1.0"}

Trainer Train - Code

Use this skill as the orchestration contract for one trainer run against a optimized through Microsoft Trace. The target is a Python file, function, helper, or agent component that benefits from test-based or benchmark-based feedback.