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openghz/train-opt-skills

v0.2.0

Coordinate training optimization, optional specialists, and evidence-based correctness and performance acceptance.

Changelog

0.2.0 — 2026-10-05

  • Add optional specialist discovery and bounded handoff contracts, with reviewed upstream provenance.
  • Separate semantic invariants from declared execution variables in benchmark schema 2.
  • Add five original training decision cases with explicit evidence maturity.
  • Add runnable skill evaluation fixtures, deterministic checks, baseline/treatment preparation and an external runtime protocol.
  • Preserve legacy benchmark inputs and include the supplied specialist survey.

0.1.0 — 2026-10-05

  • Introduce the optimize-training skill with six focused training-system references.
  • Include the complete supplied v2 Chinese guide.
  • Add environment, benchmark, sample-audit, and NPZ parity tools.
  • Add synthetic examples, behavioral evaluation cases, CPU tests, CI, local installer, and reproducible release packaging.
  • Document correctness boundaries and explicitly separate package validation from GPU training experiments.