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.