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

Quality

88%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

77%

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

Highly actionable content with a clear, validated recalculation workflow, but it is somewhat verbose (repetitive recalc.py --create examples, basic pandas explanations) and monolithic with no progressive disclosure or bundled reference files despite referencing a script that is missing from the bundle.

Suggestions

Tighten the recalc.py --create section: the command, JSON-format block, three examples, and file-path table overlap heavily — collapse to one canonical example plus the path-resolution rule.

Remove or trim pandas basics Claude already knows (e.g., the df.head/info/describe comment lines) to recover tokens.

Move the financial-model color/number-formatting standards into a separate reference file (e.g., references/financial-models.md) linked from the body, and either ship the referenced recalc.py in scripts/ or stop describing it as a provided bundle file.

Dimension	Reasoning	Score
Conciseness	Mostly efficient with executable examples, but explains pandas basics Claude already knows ('df.head() # Preview data', 'df.info() # Column info') and repeats the recalc.py --create usage across overlapping examples, a JSON-format block, and a file-path table that restate each other. Not a score of 3 because some tokens are redundant, not a 1 because there is no concept padding like 'what is a spreadsheet'.	2 / 3
Actionability	Provides copy-paste-ready, fully executable guidance — openpyxl/pandas code blocks, concrete `python recalc.py output.xlsx 30` commands, and a worked JSON `--create` example — matching the 'fully executable code/commands; copy-paste ready' anchor.	3 / 3
Workflow Clarity	The 'Common Workflow' is a 6-step sequence with recalculation marked MANDATORY and an explicit feedback loop ('Fix the identified errors and recalculate again'), plus a Formula Verification Checklist — clear validation checkpoints and error-recovery matching the top anchor.	3 / 3
Progressive Disclosure	The body is a single monolithic file (~360 lines) with everything inline — financial color-coding standards, recalc.py docs, and the verification checklist could each be split out — and it references a 'provided recalc.py' script that is not present in any bundle directory (references/scripts/assets are absent). Not a 1 because section headers organize the content; not a 3 because no content is offloaded one level deep to referenced files.	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.

A strong, third-person description that states concrete capabilities and gives explicit 'when to use' trigger guidance with natural keywords and file extensions. No fluff or over-claims; every clause earns its place.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions across a numbered set — 'Creating new spreadsheets with formulas and formatting', 'Reading or analyzing', 'Modify existing spreadsheets while preserving formulas', 'Recalculating formulas' — matching the 'lists multiple specific concrete actions' anchor.	3 / 3
Completeness	Answers both 'what' ('Comprehensive spreadsheet creation, editing, and analysis...') and 'when' via an explicit trigger clause ('When Claude needs to work with spreadsheets ... for: (1)...(5)'), which is equivalent explicit trigger guidance and avoids the missing-trigger cap of 2.	3 / 3
Trigger Term Quality	Covers natural terms users would say — 'spreadsheets', 'formulas', 'formatting', 'data analysis', 'visualization' — plus concrete file extensions '.xlsx, .xlsm, .csv, .tsv', giving good coverage rather than jargon.	3 / 3
Distinctiveness Conflict Risk	The spreadsheet niche with specific extensions and enumerated task types is clearly distinct and unlikely to trigger for unrelated 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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: ageerle/ruoyi-ai
Path: ruoyi-admin/src/main/resources/skills/xlsx/SKILL.md
Commit: afaa86e

Reviewed: about 10 hours ago

Table of Contents

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