# OpenSenseNova/SenseNova-Skills repository brief

> This is an EasyGlobe-authored bilingual repository brief, not a redistributed third-party Skill and not an installable copy of the repository. Review the upstream repository before use.

## English

Modular SenseNova skills for building AI-powered office assistants and productivity workflows

EasyGlobe verified this public, non-fork, non-archived repository at commit `99fdf94b0d5ae68bf62fc686229ed8801fcb39a5`. The sampled tree contains 76 `SKILL.md` files and at least one sampled file has valid `name` and `description` frontmatter. Its primary directory category is Skill Collections. Static sampling did not find the high-risk credential-exfiltration or destructive-root-delete patterns checked by the research pipeline; this is not a full security audit.

## 中文

OpenSenseNova/SenseNova-Skills 是一个面向Skill 合集工作流的 GitHub Skill 仓库。EasyGlobe 在提交 `99fdf94b0d5ae68bf62fc686229ed8801fcb39a5` 对公开、非 fork、未归档的默认分支进行了抽样核验：仓库树包含 76 个 `SKILL.md` 文件，且至少一个抽样文件具有有效的 `name` 与 `description` frontmatter。静态抽样未命中本流水线检查的凭据外传或根目录破坏性命令模式；这不等同于完整安全审计，使用前仍应检查上游仓库。

## Repository metadata

| Field | Value |
| --- | --- |
| Repository | [OpenSenseNova/SenseNova-Skills](https://github.com/OpenSenseNova/SenseNova-Skills) |
| Hot rank / score | 35 / 50.44 |
| Stars at verification | 4907 |
| Default branch | `main` |
| Sampled commit | `99fdf94b0d5ae68bf62fc686229ed8801fcb39a5` |
| Last push | 2026-08-20T08:25:34Z |
| Verified | 2026-08-21T03:25:24.715Z |
| License | MIT |
| SKILL.md paths in sampled tree | 76 |

## Representative valid Skill evidence

| Path | Frontmatter name | Frontmatter description | SHA-256 |
| --- | --- | --- | --- |
| `skills/sn-da-excel-workflow/SKILL.md` | sn-da-excel-workflow | Excel 数据分析多步编排器。覆盖：(1) 读取多 Sheet Excel 文件并统计行数，(2) 大文件检测（≥10k 行自动 Parquet 优化），(3) 数据清洗（缺失值、文本标准化、无效字符），(4) 条件筛选与分类提取，(5) 跨 Sheet 统计聚合，(6) 导出 Excel/CSV 并提供下载链接。覆盖从数据读取到报告生成全流程，按步骤编排 capability 子 skill。**遇到以下任一情况就主动使用本 skill，不要自行写几行 pandas 就回答**：①用户出现触发词：Excel 分析 / 表格分析 / 数据分析 / 数据清洗 / 数据统计 / 数据筛选 / 数据可视化 / 数据导出 / 汇总统计 / 透视表 / 分组统计 / 交叉分析 / 趋势分析 / 对比分析 / 异常值检测 / 去重 / 缺失值处理 / Excel 报告 / 生成报表 / analyze Excel / data analysis / data cleaning / pivot table；②用户上传或指定了 .xlsx / .xls / .csv 文件并要求分析、清洗、统计或可视化；③任务涉及多 Sheet 读取、条件筛选、分类汇总、图表生成中的任意一项；④用户要求导出带格式的 Excel 报告或下载链接。仅不用于：不涉及表格数据的纯文本处理、图片分析（使用 sn-da-image-caption）、单个公式计算的简单问答。 | `47348dffc7c96c0f01d0d4113f3ab8d65bef58a2334555e98d5ea0139d1a6f9f` |
| `skills/sn-da-excel-workflow/capability/excel-cell-coloring/category-coloring/SKILL.md` | 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。 | `d6e0201155cff41e3e2bccfcd032de111291cc6fa3130c02497f1964295e0a67` |
| `skills/sn-da-excel-workflow/capability/excel-cell-coloring/duplicate-value-coloring/SKILL.md` | excel-conditional-comparison-and-large-file-processing | 对比Excel多表中的特定系数并对异常值进行颜色标记。 | `7a506a699d3e738f53ce6280327babd46bca2ddccba29b086bba2b4e25d5fa49` |
| `skills/sn-da-excel-workflow/capability/excel-cell-coloring/outlier-coloring/SKILL.md` | excel-outlier-detection-and-highlighting | 识别 Excel 中的超限数值与错误单元格并进行高亮标注。 | `d9f4512bf7ac409a7455669e1847d482172e82be16ebcfbc2eebd9705a78ca6e` |
| `skills/sn-da-excel-workflow/capability/excel-cell-coloring/threshold-cell-coloring/SKILL.md` | 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。 | `539ded0021ba3acf2fdc758bd65ead3f303e3e023019c2a3ad021be56bd9168c` |

Source: https://github.com/OpenSenseNova/SenseNova-Skills