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chtc66

@chtc66 source repo

8 published skills

  1. Survey Writer · chtc66 bundle
    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.
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  2. Paper Deep Note · chtc66 bundle
    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.
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  3. Review Rebuttal · chtc66 bundle
    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.
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  4. Weekly Lab Update · chtc66 bundle
    turn a week's paper reading, experiment progress, debugging notes, and next-step plans into a chinese weekly report, a chinese group-meeting outline, or an english brief when the user needs a concise lab update instead of a raw activity log.
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  5. Benchmark Extractor · chtc66 bundle
    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.
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  6. Paper Feishu Digest · chtc66 bundle
    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.
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  7. Research Gap Finder · chtc66 bundle
    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.
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  8. Experiment Log Summarizer · chtc66 bundle
    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.
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