Lists multiple specific concrete actions: open, read, edit, fix, add columns, compute formulas, format, chart, clean messy data, create new spreadsheets, convert between tabular file formats. Very comprehensive.

Clearly answers both 'what' (open, read, edit, create, convert spreadsheet files with specific sub-tasks) and 'when' (explicit trigger guidance including 'Trigger especially when the user references a spreadsheet file by name or path' and detailed use-when clauses). Also includes explicit negative triggers (Do NOT trigger for Word docs, HTML reports, etc.).

Excellent coverage of natural terms users would say: .xlsx, .xlsm, .csv, .tsv, 'spreadsheet', 'the xlsx in my downloads', 'columns', 'formulas', 'formatting', 'charting', 'cleaning messy data'. Includes file extensions and casual phrasing examples.

Highly distinctive with explicit boundary-setting: specifies exact file formats (.xlsx, .xlsm, .csv, .tsv), requires deliverable to be a spreadsheet file, and explicitly excludes Word documents, HTML reports, standalone Python scripts, database pipelines, and Google Sheets API integrations. This makes it very unlikely to conflict with adjacent skills.

The skill is fairly comprehensive but includes some unnecessary explanation (e.g., explaining what pandas does, the 'WRONG vs CORRECT' section is somewhat verbose with 6 examples when 2 would suffice). The financial model section is detailed and domain-specific enough to justify its length, but some sections like 'Best Practices' repeat information already covered (e.g., recalc.py mentioned multiple times).

The skill provides fully executable, copy-paste ready code examples throughout — openpyxl creation/editing, pandas reading/writing, bash commands for recalculation, and specific formula patterns. The recalc.py JSON output format is documented concretely, and the wrong vs. correct formula examples are directly actionable.

The common workflow is clearly sequenced (choose tool → create/load → modify → save → recalculate → verify/fix errors) with an explicit validation feedback loop: recalculate, check for errors, fix, and recalculate again. The formula verification checklist adds additional validation checkpoints. The mandatory recalculation step is clearly called out.

The content is well-organized with clear section headers, but it's a long monolithic document (~200+ lines) that could benefit from splitting detailed sections (financial model standards, formula verification checklist) into separate reference files. References to scripts/recalc.py and scripts/office/soffice.py are present but no bundle files were provided to verify them.