Document Pro - 文档处理技能
An MCP server that provides on-demand skill loading for AI coding assistants.
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An MCP server that provides on-demand skill loading for AI coding assistants.
Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified.
Integrated three-statement financial model builder linking income statement, balance sheet, and cash flow statement with circular reference handling
Compétence pour manipuler les fichiers Excel (.xlsx, .xlsm, .csv, .tsv). Utiliser quand l'utilisateur veut : ouvrir, lire, éditer ou créer un fichier tableur ; ajouter des colonnes, calculer des formules, formater, créer des graphiques, nettoyer des données ; convertir entre formats tabulaires. L...
Edit, repair, or generate spreadsheet workbooks with structure-preserving Python. Use for Excel or spreadsheet tasks involving .xlsx/.xlsm files, formulas, lookup tables, summaries, formatting preservation, target ranges, workbook QA, or any task where cells must be computed, written, and verifie...
Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) with formula-aware workflows, cached recalculation, and visual review.
An MCP server that provides on-demand skill loading for AI coding assistants.
Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified.
Transforms unstructured PDF documents into structured formats like Excel or JSON, facilitating data analysis and integration.
Use a deterministic Python/openpyxl inspection pass to verify workbook structure, counts, marked rows, and output-file existence when delegated spreadsheet summaries seem inconsistent.
Python data processing with pandas, openpyxl, and lxml. Covers DataFrame operations, Excel I/O, XML parsing, bulk data transformation, and large-file handling. Use when processing tabular data, spreadsheets, or XML in Python. USE WHEN: user mentions "pandas", "DataFrame", "openpyxl", "read_excel...
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
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