Move the soft/mixed gate-metric configuration introduced in PR #25 out of
the base default config and into a standalone example config so that
default SkillOpt runs (and paper reproduction) remain bit-for-bit on the
original hard gate.
- configs/_base_/default.yaml: drop gate_metric / gate_mixed_weight keys.
The trainer's cfg.get("gate_metric", "hard") fallback preserves the
original behavior unchanged.
- configs/examples/soft_gate.yaml: new standalone reference config with
a header explaining when to consider it (small selection split with
continuous rewards) and when not to (paper reproduction, large or
binary-reward settings).
- README.md: add a short "Community-contributed configs" section that
clearly flags this as user-contributed and non-default.