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- Git WorkflowGitワークフロー、ブランチ戦略、コミットメッセージ規約、およびプルリクエストプロセス。Votes: 0GitHub stars: 3
- Microsoft Skills .Github Plugins Azure Skills Skills Azure ComputeAzure VM and VMSS router for recommendations, pricing, autoscale, orchestration, connectivity troubleshooting, and capacity reservations. WHEN: Azure VM, VMSS, scale set, recommend, compare, server, website, burstable, lightweight, VM family, workload, GPU, learning, simulation, dev/test, backend, autoscale, load balancer, Flexible orchestration, Uniform orchestration, cost estimate, connect, refused, Linux, black screen, reset password, reach VM, port 3389, NSG, troubleshoot, capacity reserv...Votes: 0GitHub stars: 3
- Lingzhi227 Agent Research Skills Skills Symbolic EquationDiscover scientific equations from data using LLM-guided evolutionary search (LLM-SR). Multi-island algorithm with softmax-based cluster sampling, island reset, and LLM-proposed equation mutations. Use for symbolic regression and equation discovery.Votes: 0GitHub stars: 3
- Lingzhi227 Agent Research Skills Skills Math ReasoningFormal mathematical reasoning for research papers — derive equations, write proofs, formalize problem settings, select statistical tests, and generate LaTeX math notation. Use when the user needs mathematical derivations, theorem proofs, notation tables, or statistical analysis formalization.Votes: 0GitHub stars: 3
- Brycewang Stanford Awesome Agent Skills For Empirical Research Skills 48 Copaper Ai Chinese De Aigc面向中文学术论文的降 AIGC 检测率 Skill。针对知网、万方、维普、Turnitin 中文版的检测机制，识别并消除中文大语言模型的 17 类结构化写作痕迹。采用"定位 → 诊断 → 改写 → 自评 → 复查"五步闭环工作流，分章节差异化策略（摘要/引言/文献综述/方法/结果/讨论/结论），保持学术严谨性前提下通过检测。Votes: 0GitHub stars: 3
- Brycewang Stanford Awesome Agent Skills For Empirical Research Skills 15 Felpix Studios Social Science Research Skills Deep AuditDeep consistency audit of the entire repository — launches 4 parallel specialist agents to find factual errors, code bugs, broken references, count mismatches, and cross-document inconsistencies, then fixes all issues and loops until clean. Make sure to use this skill whenever the user wants a comprehensive repository-wide check — not a targeted review of a single file. Triggers include: "audit", "deep audit", "find inconsistencies", "check everything", "run a full audit", "are there any brok...Votes: 0GitHub stars: 3
- Brycewang Stanford Awesome Agent Skills For Empirical Research Skills 13 Scunning1975 MixtapeTools Skills NewprojectScaffold a new research project with standard directory structure, CLAUDE.md template, and documented README. Use this at the start of every new project to ensure consistent organization.Votes: 0GitHub stars: 3
- Brycewang Stanford Awesome Agent Skills For Empirical Research Skills 07 Orchestra Research AI Research SKILLs Academic PlottingGenerate publication-quality figures for ML/AI conference papers. Two distinct workflows: 1. **Diagram figures** (architecture, system design, workflows, pipelines) — AI image generation via Gemini 2. **Data figures** (line charts, bar charts, scatter plots, heatmaps, ablations) — matplotlib/seabornVotes: 0GitHub stars: 3
- Brycewang Stanford Awesome Agent Skills For Empirical Research Skills 05 Kthorn Research Superpower Research Cleaning Up Research Sessions<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝Votes: 0GitHub stars: 3
- Brycewang Stanford Awesome Agent Skills For Empirical Research Skills 05 Kthorn Research Superpower Research Building Screening Rubrics<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档，收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝Votes: 0GitHub stars: 3
- Zero One LossCompute the zero_one_loss metric — provided by scikit-learn. Use when the user has predictions and ground-truth and needs to compute zero_one_loss, or asks how to score with zero_one_loss.Votes: 0GitHub stars: 3
- WordinfopreservedCompute the WordInfoPreserved metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute WordInfoPreserved, or asks how to score with WordInfoPreserved.Votes: 0GitHub stars: 3
- WordinfolostCompute the WordInfoLost metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute WordInfoLost, or asks how to score with WordInfoLost.Votes: 0GitHub stars: 3
- WorderrorrateCompute the WordErrorRate metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute WordErrorRate, or asks how to score with WordErrorRate.Votes: 0GitHub stars: 3
- WilcoxonCompute the wilcoxon metric — provided by scipy.stats. Use when the user has predictions and ground-truth and needs to compute wilcoxon, or asks how to score with wilcoxon.Votes: 0GitHub stars: 3
- WeightedtauCompute the weightedtau metric — provided by scipy.stats. Use when the user has predictions and ground-truth and needs to compute weightedtau, or asks how to score with weightedtau.Votes: 0GitHub stars: 3
- WeightedmeanabsolutepercentageerrorCompute the WeightedMeanAbsolutePercentageError metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute WeightedMeanAbsolutePercentageError, or asks how to score with WeightedMeanAbsolutePercentageError.Votes: 0GitHub stars: 3
- VmeasurescoreCompute the VMeasureScore metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute VMeasureScore, or asks how to score with VMeasureScore.Votes: 0GitHub stars: 3
- VisualinformationfidelityCompute the VisualInformationFidelity metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute VisualInformationFidelity, or asks how to score with VisualInformationFidelity.Votes: 0GitHub stars: 3
- Veriequivbench EvalEvaluates an LLM's ability to generate formally verifiable code that aligns with natural language problem descriptions and passes unit tests. It probes complex algorithmic reasoning and code-specification alignment without requiring manual ground-truth specifications. Use when the user wants to benchmark on VeriEquivBench, or asks about evaluating this task. Reports equivalence_score.Votes: 0GitHub stars: 3
- V Measure ScoreCompute the v_measure_score metric — provided by scikit-learn. Use when the user has predictions and ground-truth and needs to compute v_measure_score, or asks how to score with v_measure_score.Votes: 0GitHub stars: 3
- UniversalimagequalityindexCompute the UniversalImageQualityIndex metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute UniversalImageQualityIndex, or asks how to score with UniversalImageQualityIndex.Votes: 0GitHub stars: 3
- TweediedeviancescoreCompute the TweedieDevianceScore metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute TweedieDevianceScore, or asks how to score with TweedieDevianceScore.Votes: 0GitHub stars: 3
- TschuprowstCompute the TschuprowsT metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute TschuprowsT, or asks how to score with TschuprowsT.Votes: 0GitHub stars: 3