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 clear workflows and good validation steps, particularly the recalc.py feedback loop for formula verification. Its main weakness is that it tries to cover too much ground in a single file — mixing general spreadsheet operations with detailed financial modeling conventions — leading to a somewhat lengthy document that could benefit from better progressive disclosure. The code examples are excellent and copy-paste ready.

Suggestions

Split financial modeling standards (color coding, number formatting, documentation requirements) into a separate FINANCIAL_MODELS.md reference file to reduce the main skill's length

Move the Formula Verification Checklist into a separate VERIFICATION.md file and reference it from the main workflow

Dimension	Reasoning	Score
Conciseness	The skill contains some unnecessary verbosity, particularly in the financial modeling section (color coding standards, documentation requirements for hardcodes) which is quite detailed for a general spreadsheet skill. The 'WRONG vs CORRECT' examples are useful but slightly over-explained. Some sections like library selection tips explain things Claude already knows.	2 / 3
Actionability	The skill provides fully executable, copy-paste ready code examples for all major workflows: reading with pandas, creating with openpyxl, editing existing files, and recalculating formulas. Commands are specific (e.g., `python recalc.py output.xlsx 30`) and the JSON output format for recalc.py is clearly documented.	3 / 3
Workflow Clarity	The common workflow is clearly sequenced (choose tool → create/load → modify → save → recalculate → verify and fix errors) with an explicit validation feedback loop: recalculate, check for errors, fix, and recalculate again. The verification checklist and recalc.py output interpretation provide strong validation checkpoints for catching formula errors.	3 / 3
Progressive Disclosure	The content is reasonably well-structured with clear section headers, but it's somewhat monolithic — the financial modeling standards, formula verification checklist, and best practices could be split into separate reference files. No bundle files are provided, so everything is inline in one large document. The recalc.py script is referenced but not included 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 defines its scope around spreadsheet operations, lists concrete capabilities, and provides explicit trigger conditions with a numbered list of use cases. The inclusion of multiple file extensions and spreadsheet-specific terminology makes it highly discoverable and distinguishable from other skills.

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' (explicit numbered list of trigger scenarios prefaced by 'When Claude needs to work with spreadsheets').	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 scoped to spreadsheet files with specific file extensions (.xlsx, .xlsm, .csv, .tsv) and spreadsheet-specific operations like formula recalculation and preservation. Unlikely to conflict with general data analysis or document skills.	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: majiayu000/claude-skill-registry
Commit: c3c7445

Reviewed: 1 day ago

Table of Contents

Discovery Implementation Validation

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