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…
USE FOR Google-backed image discovery via Serper.dev. Returns image URLs, page URLs, titles, and source domains.
$ npx -y skills add OpenSenseNova/SenseNova-Skills --skill sn-search-image --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/sn-search-imageContext preview
The summary Claude sees to decide when to auto-load this skill.
USE FOR Google-backed image discovery via Serper.dev. Returns image URLs, page URLs, titles, and source domains.
name: sn-search-image
description: USE FOR Google-backed image discovery via Serper.dev. Returns image URLs, page URLs, titles, and source domains.
metadata: {"openclaw":{"requires":{"bins":["python3"],"env":["SERPER_API_KEY"]},"primaryEnv":"SERPER_API_KEY"}}Use this skill to search for candidate images via Serper.dev.
Standard image search:
python3 {baseDir}/scripts/serper_image_search.py "QUERY" --num 10Image URLs only:
python3 {baseDir}/scripts/serper_image_search.py "QUERY" --num 10 --image-urls-only --limit 5Page URLs only:
python3 {baseDir}/scripts/serper_image_search.py "QUERY" --num 10 --page-urls-only --limit 5Raw JSON:
python3 {baseDir}/scripts/serper_image_search.py "QUERY" --num 10 --jsonSave raw JSON to a file for later inspection:
python3 {baseDir}/scripts/serper_image_search.py "QUERY" --num 10 --save-json /tmp/serper-images.jsonThe SenseNova model family plugs directly into agent runtimes such as OpenClaw and hermes-agent, with the skills in this repository extending the models with concrete, end-to-end office capabilities.
Repo: OpenSenseNova/SenseNova-Skills
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…
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。
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。
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。