// summarize machine learning experiment logs in chinese when the input includes training logs, eval results, hyperparameter changes, user notes, or multiple runs and the user needs a grounded experiment summary, error analysis, best configuration recap, or a weekly update ready abstract.
extract structured benchmark information from academic papers when the input includes multiple pdfs, abstracts, or links and the user needs chinese notes or table-ready fields for tasks, datasets, metrics, baselines, sota claims, code release, or evaluation settings.
produce a chinese deep reading note for a single academic paper when the input is a pdf, arxiv link, title with abstract, or paper excerpts and the user needs a grounded reading card, contribution summary, reproduction risks, or reading priority judgment.
monitor recent arxiv papers and produce a chinese digest when the user needs a filtered paper watchlist, a ranked update for agent or rag related topics, or an optional feishu webhook push from recent cs.ai or cs.cl submissions.
analyze topic coverage, bottlenecks, controversies, and plausible research gaps when the input includes a research topic, a set of papers, or the user's early ideas and the user needs a grounded gap analysis, problem framing, small entry points, or experiment hypotheses without forced novelty claims.
analyze academic reviews and draft a professional rebuttal when the input includes reviewer comments, a meta-review, paper abstract, or user supplied experiment status and the user needs concern classification, response strategy, risk warnings, or a rebuttal draft without inventing evidence.
write a chinese survey draft around a research topic when the input includes a topic, multiple papers, abstracts, links, pdfs, or a user curated related-work list and the user needs a short survey, long survey, taxonomy, or method evolution summary.
| name | experiment-log-summarizer |
| description | summarize machine learning experiment logs in chinese when the input includes training logs, eval results, hyperparameter changes, user notes, or multiple runs and the user needs a grounded experiment summary, error analysis, best configuration recap, or a weekly update ready abstract. |
用这个 skill 整理实验日志、参数改动、训练结果和失败记录，输出中文实验总结。重点是区分证据与猜测，并把分散实验整理成可复盘的研究记录。
references/experiment_template.md 汇总主要结论。references/error_analysis_template.md。证据：日志、指标、配置表、用户明确说明推测：对涨跌原因的解释、潜在 bug 假设、过拟合猜测references/experiment_template.md。references/error_analysis_template.md。