Implement production-level training loop with learning rate scheduling and metrics tracking
100 / 100 · Low risk
Fine to try.
Create a training loop that integrates learning rate scheduling (e.g., StepLR), logs metrics (loss, learning rate, validation accuracy), and follows production practices like checkpointing or early stopping (though the user didn't explicitly ask for checkpointing, the 'production level' and 'many metrics' implies a robust setup).
What this skill can do
We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'implement-production-level-training-loop-with-learning-rate-sche' ] || [ -L ~/.agents/skills/'implement-production-level-training-loop-with-learning-rate-sche' ]; then echo 'A skill folder named implement-production-level-training-loop-with-learning-rate-sche already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/ECNU-ICALK/AutoSkill' "$d" && git -C "$d" checkout --quiet '94c47ca488d4ba4117d20272e66d49b9877e68cf' -- 'SkillBank/ConvSkill/english_gpt4_8_GLM4.7/implement-production-level-training-loop-with-learning-rate-sche' && mkdir -p ~/.agents/skills && cp -R "$d"/'SkillBank/ConvSkill/english_gpt4_8_GLM4.7/implement-production-level-training-loop-with-learning-rate-sche' ~/.agents/skills/'implement-production-level-training-loop-with-learning-rate-sche' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'implement-production-level-training-loop-with-learning-rate-sche' ~/.claude/skills/'implement-production-level-training-loop-with-learning-rate-sche' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/ECNU-ICALK/AutoSkill/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-08 | 94c47ca | 100 |
| 2026-11-07 | 94c47ca | 100 |