mirror of https://github.com/microsoft/SkillOpt.git synced 2026-07-07 00:15:39 +08:00

Files

Cuzyoung 4a1b984d87 refactor: rename teacher/student to optimizer/target, remove best skills, fix slow update

- Rename teacher -> optimizer, student -> target across all code, configs, docs, prompts
- CLI: --teacher_model -> --optimizer_model, --student_model -> --target_model
- Remove best_skill files, keep only initial skills
- Fix slow update gate (force write into skill)
- Fix SLOW_UPDATE marker stripping
- Remove deep_reflect and meta_reflect mechanisms
- Update .env.example with export prefix and azure_cli docs
- Add endpoint empty validation in azure_openai.py

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

2026-05-24 19:15:10 +00:00

config_template.yaml

refactor: rename teacher/student to optimizer/target, remove best skills, fix slow update

2026-05-24 19:15:10 +00:00

env_template.py

refactor: rename teacher/student to optimizer/target, remove best skills, fix slow update

2026-05-24 19:15:10 +00:00

loader_template.py

SkillOpt v0.1.0: initial release

2026-05-21 17:22:04 +00:00

README.md

SkillOpt v0.1.0: initial release

2026-05-21 17:22:04 +00:00

README.md

Benchmark Template

This directory provides scaffold files for adding a new benchmark to SkillOpt.

Files

env_template.py — Environment adapter template
loader_template.py — Data loader template
config_template.yaml — Config file template

Usage

Copy this directory: cp -r skillopt/envs/_template skillopt/envs/your_benchmark
Rename files: remove _template suffix
Implement the TODO sections
Register in skillopt/envs/__init__.py
Create config at configs/your_benchmark/default.yaml

See the documentation for the full guide.