Profile Excel workbooks and normalize headers to snake_case.
npx skills add https://github.com/leeyuyun/agent_skills --skill excel-workbook
Please help me install this Agent Skill. Skill: excel-workbook Source: https://github.com/leeyuyun/agent_skills/tree/main/excel-workbook Command: npx skills add https://github.com/leeyuyun/agent_skills --skill excel-workbook
Excel workflow automation with deterministic edits, preserving formulas and structure to deliver reproducible outputs and audit-friendly results.
Provide an input workbook and run the profiling script to generate a profile, then apply normalization and deterministic edits as described to produce a reliable output.
High-intent search queries and answers about installing and using this skill.
Excel workbook profiling automates the extraction of sheet counts, dimensions, and formula density. It scans .xlsx, .xlsm, and .csv inputs to generate a structural overview, helping you understand data distribution and formula usage before applying transformations.
Normalizing Excel headers to snake_case converts inconsistent column names into deterministic, standardized formats. This process preserves data intent while ensuring reproducible outputs, making the workbook ready for structured analysis and downstream transformations.
Yes, deterministic edits like dedupe, filtering, and merging can be applied to Excel files while preserving formulas and structure. This approach uses safety rules and explicit output contracts to deliver reproducible, auditable results without breaking existing workbook logic.
Openpyxl supports safe, rule-driven transformations on .xlsm files by enabling structured edits with clear change logs. It handles .xlsx, .xlsm, and .csv inputs, ensuring that deterministic edits produce auditable outputs while maintaining workbook integrity.
Excel automation produces inconsistent outputs when edits lack deterministic rules and explicit output contracts. By applying structured safety rules and header normalization, the workflow ensures reproducible, audit-friendly results, preventing structural drift and unintended formula alterations.
pipixia-labsRepair and validate Excel workbooks by fixing structural issues and recalculating formulas.
openaiAutomate spreadsheet creation, analysis, and export workflows.
not-subhuCreate and manipulate Excel spreadsheets with Python libraries.
Phife726Analyze datasets with SQL, pandas, and statistical methods.
