xlsx

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

1.35x

Quality

88%

Does it follow best practices?

Impact

76%

1.35x

Average score across 10 eval scenarios

Securityby

Passed

No known issues

Quality

Content

77%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a solid, actionable skill with excellent workflow clarity including validation feedback loops and concrete, executable code examples. Its main weakness is length—the financial modeling standards and extensive wrong/right examples make it verbose for a single SKILL.md file, and the content would benefit from splitting detailed reference material into separate files. The recalc.py script is referenced but not included in the bundle, though this may be provided elsewhere.

Suggestions

Split financial model standards (color coding, number formatting, documentation requirements) into a separate FINANCIAL_MODELS.md reference file to reduce SKILL.md length

Trim the 'WRONG vs CORRECT' hardcoding section—three paired examples are excessive; one clear pair would suffice for Claude

Dimension	Reasoning	Score
Conciseness	The skill contains some unnecessary verbosity—the 'WRONG vs CORRECT' section with six examples is somewhat redundant for Claude, and the financial model color coding/documentation standards are quite lengthy. However, most content is relevant and not padded with basic concept explanations.	2 / 3
Actionability	The skill provides fully executable, copy-paste ready code examples for all major workflows (creating, editing, reading Excel files), concrete bash commands for recalculation, specific format strings for number formatting, and detailed JSON output examples from the recalc script.	3 / 3
Workflow Clarity	The common workflow is clearly sequenced (choose tool → create/load → modify → save → recalculate → verify/fix errors) with an explicit validation feedback loop: recalc.py returns error details, fix errors, recalculate again. The formula verification checklist adds additional validation checkpoints.	3 / 3
Progressive Disclosure	The content is reasonably well-structured with clear sections, but it's quite long and monolithic for a single file with no bundle files to offload detail into. The financial model standards, formula verification checklist, and best practices could be split into separate reference files. The recalc.py script is referenced but not provided in the bundle.	2 / 3
	Total	10 / 12 Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a strong skill description that clearly communicates both what the skill does and when it should be used. It provides specific file extensions, concrete actions in a numbered list, and uses appropriate third-person voice throughout. The description closely mirrors the good examples in the rubric, particularly the presentation skill example pattern.

Dimension	Reasoning	Score
Specificity	Lists multiple specific concrete actions: creating spreadsheets with formulas and formatting, reading/analyzing data, modifying existing spreadsheets while preserving formulas, data analysis and visualization, and recalculating formulas.	3 / 3
Completeness	Clearly answers both 'what' (comprehensive spreadsheet creation, editing, analysis with formulas, formatting, visualization) and 'when' with explicit triggers ('When Claude needs to work with spreadsheets' followed by a numbered list of specific scenarios).	3 / 3
Trigger Term Quality	Includes strong natural keywords users would say: 'spreadsheet', '.xlsx', '.xlsm', '.csv', '.tsv', 'formulas', 'formatting', 'data analysis', 'visualization'. Good coverage of file extensions and common terms.	3 / 3
Distinctiveness Conflict Risk	Clearly targets spreadsheet-specific work with distinct file extensions (.xlsx, .xlsm, .csv, .tsv) and spreadsheet-specific operations (formulas, recalculating). Unlikely to conflict with general data analysis or document skills due to the specific file type and operation focus.	3 / 3
	Total	12 / 12 Passed

Validation

100%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository: einverne/dotfiles
Commit: b1b2fe0

Reviewed: 5 months ago

Table of Contents

Discovery Implementation Validation

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