1,133 skills found · Page 11 of 38
OpenSenseNova / multi-sheet-reading-and-analysis用于读取多工作表Excel文件，动态评估数据量以启用Parquet大文件优化，并执行正则清洗、分类汇总、线性拟合及生成带格式的图表与结果文件。
OpenSenseNova / excel-multi-sheet-dynamic-analysis用于分析包含多个Sheet的Excel文件，动态判断数据量级以决定是否转换为Parquet进行大文件处理，并支持跨Sheet的特定字段统计、数据清洗、交叉分析与可视化，最终生成带下载链接的汇总报告。
OpenSenseNova / chart-embedded-export从结构化数据中提取分类分布执行清洗与统计，生成多维度交叉分析、高分辨率对比图表及包含下载链接的完整分析报告，适用于大文件处理与嵌入式可视化场景。
OpenSenseNova / large-file-parquet-analysis-and-highlight当Excel文件总行数超过1万行时，通过转换为Parquet格式提升读取性能，提取目标指标并计算最大值，最后将结果输出为Excel并对特定行进行高亮标注。
OpenSenseNova / large-file-conditional-formatting根据Excel总行数自动切换Parquet加速读取，计算特定维度的时间序列平均值，并使用openpyxl输出带有条件格式（如低于均值标绿）和自定义样式的分析报告。
OpenSenseNova / top-value-coloring根据数据规模动态选择处理策略，对多表数据进行合并、统计筛选，并利用 openpyxl 实现关键指标的自动化样式高亮与格式化导出。
OpenSenseNova / numeric-extraction-and-distribution-analysis从带单位的字符串列中提取数值并清洗，生成包含直方图、饼图、条形图和累积分布图的多维度综合分布可视化图表，用于展示数据的集中趋势与分布特征。
OpenSenseNova / large-excel-analysis-and-formatting用于处理多Sheet大型Excel文件，支持大文件Parquet格式转换提速，并使用openpyxl生成带条件高亮和自定义样式的格式化Excel报告及下载链接。
OpenSenseNova / categorical-comparison-analysis对两类分类数据进行对比分析，统计数量差异与比例关系并生成可视化图表。
OpenSenseNova / dynamic-percentage-and-large-file-analysis根据文件行数动态切换大文件处理策略（Parquet转换），通过逐行扫描或列匹配提取关键指标并计算占比、均值等统计量，最终输出结构化Excel报告及可视化图表。
OpenSenseNova / stacked-chart-visualization处理包含百分比字符串的分类占比数据，通过补全缺失维度并生成堆叠柱状图，直观展示多维度构成随时间或分类的变化趋势。
OpenSenseNova / range-reading-and-large-file-analysis读取多 Sheet Excel 文件，根据数据量动态选择处理策略，支持特定区域数据提取、大文件 Parquet 转换、统计分析及可视化图表生成。
OpenSenseNova / excel-smart-analysis-and-cleaning对多 Sheet Excel 进行智能清洗、跨表核对与可视化分析。。
OpenSenseNova / grouped-statistics对多 Sheet 的 Excel 文件进行行数统计、数据合并与前向填充。
OpenSenseNova / statistical-distribution-and-outlier-analysis执行数值型数据的分布分析与异常值检测，支持通过正则表达式从文本中提取误差项并生成高分辨率的箱线图与直方图报告。
OpenSenseNova / excel-basic-statistics-and-routing对多Sheet Excel文件进行基础统计与，支持按条件筛选计算均值，以及从指定行区间提取数据去重求和，并生成结果文件与下载链接。
OpenSenseNova / invalid-data-cleaning用于大规模Excel数据的预处理，通过统计总行数判断是否转换为Parquet格式以提升读写效率，并使用正则表达式清洗指定文本列（如仅保留中文字符），最后导出清洗后的文件并提供下载链接。
OpenSenseNova / excel-data-analysis-and-report-generation从Excel提取多类型数据，并生成包含可视化图表与下载链接的综合分析报告。
OpenSenseNova / excel-sheet-filter-export动态统计多Sheet Excel文件行数以判断大文件处理逻辑，并根据特定条件筛选数据、重命名字段后导出为包含下载链接的新Excel文件，适用于多Sheet数据探查与条件过滤导出场景。
dotnet / find-untested-sourcesMANDATORY for static source-to-test pairing: find or list source files/modules without corresponding tests, or suggest test locations from repository structure. Invoke even for a tiny package; do not substitute manual globbing.
dotnet / csharp-scriptsRun file-based C# apps with the .NET CLI when the user explicitly wants C#/.NET code without creating a project. Use for C# language/API experiments, one-file C# apps, small multi-file C# apps composed with `#:include`/`#:exclude`, or C# file-based apps linked with `#:ref`.
dotnet / test-smell-detectionAudits existing tests in any language using formal, research-backed test smell names and the testsmells.org 19-smell academic taxonomy
dotnet / test-analysis-extensionsProvides file paths to language-specific reference files for the test ANALYSIS skills (assertion-quality, test-anti-patterns, test-gap-analysis, test-smell-detection, test-tagging).
elementalsouls / hunt-deserializationHunt Insecure Deserialization — Java gadget chains (ysoserial), PHP object injection (phpggc), Python pickle RCE, .NET BinaryFormatter, Ruby Marshal.load, JNDI/Log4Shell. RCE via deserialization is almost always Critical
aipoch / self-awarenessInspect Open-Science's JavaScript control REPL, discover managed Project files, Sessions, and Agent Frames, and safely feature-gate host.* calls with host.capabilities()
aipoch / ColabFold MSA server (api.colabfold.com)Structure prediction for protein, nucleic-acid, and small-molecule complexes with the Chai-1 foundation model (Chai Discovery 2024, github.com/chaidiscovery/chai-lab).
aipoch / docx-generationUse when creating a Word DOCX report from Markdown, converting Markdown tables and lists to DOCX, or choosing a workflow for editing an existing DOCX while preserving its structure and styles. Use this workflow before running Markdown-to-DOCX shell commands.
aipoch / env-managementUse when a notebook run fails on a missing package (ImportError, ModuleNotFoundError, "there is no package called"), when you need to inspect an installed package version, or when you need to install, add, or manage Python or R packages for the notebook runtime.
zebbern / audit-flowInteractive system flow tracing across CODE, API, AUTH, DATA, NETWORK layers with SQLite persistence and Mermaid export. Use for security audits, compliance documentation, flow tracing, feature ideation, brainstorming, debugging, architecture reviews, or incident post-mortems.
zebbern / code-to-diagramAnalyze codebases and automatically generate architecture diagrams, flowcharts, and org charts. Uses AST parsing to map import dependencies for Python, JS/TS, Go, and Java, outputting Mermaid or SVG files.
