xlsx

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When GLM 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

86%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

73%Weight 40%Scale 1-5

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 strong validation-driven workflow, but it is verbose with repeated styling blocks and fails progressive disclosure: it is a single monolithic document whose only referenced artifact (recalc.py) is missing from the bundle.

Suggestions

Deduplicate the title/header styling code that recurs across the Default Style and Professional Finance sections into a single shared snippet.

Split the palettes, style rules, and recalc details into one-level-deep reference files (e.g. references/styles.md, references/recalc.md) and link them from the overview.

Ship the referenced recalc.py in a scripts/ directory (or remove the references) so the skill's documented validation workflow actually executes.

Dimension	Reasoning	Score
Conciseness	The 470-line body is mostly actionable but repeats the title style block (no-shading, left-aligned) and header styling across the Default and Professional Finance sections, and restates basic pandas/openpyxl roles Claude already knows.	3 / 5
Actionability	Dense with copy-paste-ready code: exact palette hex values, Font/Alignment/PatternFill configs, formula examples, and recalc.py invocations covering the common cases.	5 / 5
Workflow Clarity	The 'Common Workflow' is a numbered 7-step sequence with an explicit validation feedback loop (recalc.py -> JSON errors -> fix -> recalc again) plus a formula verification checklist.	5 / 5
Progressive Disclosure	No bundle files exist (references/scripts/assets absent), yet the body repeatedly references a recalc.py script that is not shipped, and the entire style/palette/recalc guidance is inlined into one monolithic file rather than split into one-level-deep reference files.	2 / 5
	Total	15 / 20 Passed

Description

100%Weight 40%Scale 1-5

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 names concrete capabilities, includes natural file-extension triggers, and explicitly states both what the skill does and when to use it. No over-claims or fluff.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions ('spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization') plus five enumerated use cases, giving comprehensive coverage.	5 / 5
Completeness	Explicitly answers both what (creation/editing/analysis) and when ('When GLM needs to work with spreadsheets ... for: (1)...(5)') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Covers natural terms and synonyms ('spreadsheets', '.xlsx, .xlsm, .csv, .tsv, etc') including concrete file extensions a user would name.	5 / 5
Distinctiveness Conflict Risk	Scoped to spreadsheets with specific extensions, a clear niche with minimal overlap risk against other skills.	5 / 5
	Total	20 / 20 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: jjyaoao/HelloAgents
Path: skills/xlsx/SKILL.md
Commit: 93e77ea

Reviewed: 5 days ago

Table of Contents

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