sn-da-large-file-analysis
byopensensenova· 59 skills
万行以上 Excel 数据集的高性能分析引擎。提供 openpyxl read_only 流式读取（iter_rows 支持 10 万行以上）、Parquet 转换加速、内存优化、分块处理和大文件写入模式。遇到以下任一情况就主动使用本 skill：①数据行数 ≥ 10k（由 sn-da-excel-workflow 的行数评估步骤触发）；②用户出现触发词：大文件 / 大数据量 / 性能优化 / 内存不足 / OOM / 百万行 / 十万行 / 流式读取 / Parquet / 分块处理 / large file / big data / streaming read / chunked processing；③直接使用 pd.read_excel() 导致超时或内存溢出；④用户明确要求对大规模数据集进行高性能处理。仅不用于：小于 10k 行的常规 Excel 分析（使用 sn-da-excel-workflow 即可）。
How to install sn-da-large-file-analysis?
opensensenova/sensenova-skills/sn-da-large-file-analysis
$npx -y skills add opensensenova/sensenova-skills --skill sn-da-large-file-analysisInstalls into the current project.
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Run `npx skills use "https://github.com/opensensenova/sensenova-skills" --skill "opensensenova/sensenova-skills/sn-da-large-file-analysis"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/opensensenova/sensenova-skills" that are relevant to the current task. Run `npx skills add "https://github.com/opensensenova/sensenova-skills"` and select the relevant skills, then follow their instructions.
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