Review recommendation-system code, architecture, experiment, or design for correctness, serving safety, offline-online consistency, capacity, observability, and rollback gaps.
中文简介正在准备中。当前显示原文说明。
jhljx/RecSys-Industrial-Book4652026年10月21日 更新
免费在 GitHub 公开
recsys-debugging
Diagnose recommendation quality, traffic, feature, model, retrieval, ranking, latency, timeout, overload, degradation, or logging regressions using an evidence-first decision tree.
中文简介正在准备中。当前显示原文说明。
查看安装方法包含的文件（1）
- SKILL.md857 B
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
Recommendation debugging
- State symptom, first bad time, affected traffic, metric definition, and recent changes.
- Run
python3 tools/recsys_agent.py debug "<symptom>". - Follow the emitted order: experiment/config, supply funnel, features, release versions, calibration/logging, then serving health.
- At each branch collect the named evidence before moving on. Compare against a known-good cohort or version.
- Reproduce the fault where safe; fix the root cause, then rerun the same scenario.
- Output timeline, evidence, root cause, corrective change, verification, and prevention. Never suppress an alert as the fix.
评价
还没有评价。欢迎分享你的使用感受。
评论
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
同一仓库的技能
Answer recommendation-system questions from the released book PDFs with chapter and page citations. Use for explanations, comparisons, formulas, architecture concepts, and questions asking what the book says.
中文简介正在准备中。当前显示原文说明。
jhljx/RecSys-Industrial-Book4652026年10月21日 更新
Design, implement, debug, and review industrial recommendation-system architecture or algorithms using the released book PDFs, curated examples, and runnable templates.
中文简介正在准备中。当前显示原文说明。
jhljx/RecSys-Industrial-Book4652026年10月21日 更新
Design, implement, debug, and review industrial recommendation-system architecture or algorithms using released PDFs, curated examples, and runnable templates.
中文简介正在准备中。当前显示原文说明。
jhljx/RecSys-Industrial-Book4652026年10月21日 更新
Run and extend the repository's recommendation-system projects covering the ranking funnel, two-tower ANN, point-in-time feature consistency, and online serving reliability.
中文简介正在准备中。当前显示原文说明。
jhljx/RecSys-Industrial-Book4652026年10月21日 更新
Build a grounded recommendation-system study plan, explain a topic for a graduate student or new engineer, and track local progress. Use for learning, revision, interview preparation, and deciding what to study next.
中文简介正在准备中。当前显示原文说明。
jhljx/RecSys-Industrial-Book4652026年10月21日 更新