Conciseness

The genuinely non-obvious material (recalc.py workflow, financial-model color/number conventions, verification checklists) is efficient, but the body also includes boilerplate library primers Claude already knows — e.g. "df.head() # Preview data / df.info() # Column info", "sheet['A1'] = 'Hello'", and generic openpyxl Workbook/Font/PatternFill usage examples. This fits anchor 3 ("mostly efficient but includes some unnecessary explanation or could be tightened"); it is not anchor 2 because the padding is confined to a couple of code-primer sections rather than pervading the document, and not anchor 4-5 because those primers and the three-example WRONG/CORRECT hardcoding section could be cut or compressed without losing information.

Actionability

Guidance is fully executable throughout: copy-paste pandas/openpyxl snippets, the exact command "python scripts/recalc.py output.xlsx", concrete RGB values ("Blue text (RGB: 0,0,255)"), exact format strings ("$#,##0;($#,##0);-"), documented source-comment formats with examples, and a parsed JSON output schema with field meanings. This matches anchor 5 ("copy-paste ready code or commands; specific examples cover the common cases"); unlike anchor 4 there are no real gaps in the covered cases (read, create, edit, recalculate, verify).

Workflow Clarity

The "Common Workflow" is a numbered 6-step sequence with a mandatory recalculation step, and it includes an explicit feedback loop — "If `status` is `errors_found`, check `error_summary`... Fix the identified errors and recalculate again" — plus a Formula Verification Checklist and concrete error-to-fix mapping (#REF! → invalid references, etc.). This matches anchor 5 ("explicit validation steps; feedback loops for error recovery; checklists"); anchor 4 falls short because validation here is not merely mentioned but instrumented with specific commands and output interpretation.

Progressive Disclosure

The body is well-sectioned (output requirements, workflows, recalculation, verification, best practices) and its bundle references are real and one level deep (scripts/recalc.py and scripts/office/soffice.py both exist on disk and are clearly signaled). However, everything lives inline in a single ~290-line SKILL.md with no reference files; the ~60-line financial-modeling standards and the library primers are content that could be split into separate reference docs, matching anchor 4 ("most content is appropriately placed... minor organization gaps") rather than anchor 5 ("content appropriately split" with well-signaled references to detail files).

Specificity

The description enumerates many concrete actions — "open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch... or convert between tabular file formats" — giving comprehensive coverage rather than 1-2 generic actions. It clearly exceeds anchor 4 ("several specific actions; minor gaps") since creation, editing, fixing, conversion, and cleaning are all named with concrete sub-examples; it is not vague or abstract like anchors 1-2.

Completeness

Both questions are answered explicitly: the "what" is the enumerated action list (open/read/edit/fix/create/convert), and the "when" is stated twice — "Use this skill any time a spreadsheet file is the primary input or output" and "Trigger especially when the user references a spreadsheet file by name or path" — plus explicit negative triggers ("Do NOT trigger when the primary deliverable is a Word document..."). This matches the anchor-5 example structure exactly and goes beyond anchor 4's "'when' could be more explicit".

Trigger Term Quality

Natural user phrasing is covered comprehensively with synonyms and extensions: "spreadsheet file", ".xlsx, .xlsm, .csv, or .tsv", "references a spreadsheet file by name or path — even casually (like 'the xlsx in my downloads')", "messy tabular data files". This matches the anchor-5 pattern ("PDF files, PDFs, forms, .pdf") of including both natural synonyms and file extensions; nothing common is missing.

Distinctiveness Conflict Risk

It carves out a clear niche (spreadsheet files as the deliverable) and explicitly fences off adjacent skills — "Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved" — which is stronger than anchor 4's "minor overlap risk with closely related skills". Conflict risk with e.g. a docx or data-pipeline skill is directly addressed.