xlsx

Spreadsheet toolkit (.xlsx/.csv). Create/edit with formulas/formatting, analyze data, visualization, recalculate formulas, for spreadsheet processing and analysis.

Quality

68%

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tessl review fix ./bundled/skills/xlsx/SKILL.md

Quality

Content

70%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.

The body is highly actionable with a well-sequenced, validated workflow, but it is padded by an unrelated schematics section and inlines reference material that would benefit from separation. Broken references to non-existent bundle scripts also hurt navigation.

Suggestions

Remove or relocate the 'Visual Enhancement with Scientific Schematics' section; it is unrelated to spreadsheet processing and adds noise to the core skill.

Move the financial-modeling color/number-formatting standards and formula checklists into a separate reference file (e.g. references/financial-modeling.md) and link to it from SKILL.md.

Either ship the referenced recalc.py and scripts/generate_schematic.py in the scripts/ bundle or remove the references, so navigation is not broken.

Dimension	Reasoning	Score
Conciseness	The body is mostly efficient reference material, but the off-topic 'Visual Enhancement with Scientific Schematics / Nano Banana Pro' section and the overlapping recalc explanations add noticeable padding that could be trimmed.	3 / 5
Actionability	Provides concrete, mostly executable guidance — copy-paste pandas/openpyxl snippets, the `recalc.py <file> [timeout]` command, and JSON output examples — with only minor gaps keeping it below fully copy-paste-ready 5.	4 / 5
Workflow Clarity	The 'Common Workflow' is a clear numbered sequence with an explicit validation checkpoint (mandatory recalc) and a fix-and-recalculate-again feedback loop, supplemented by a Formula Verification Checklist, matching the top anchor.	5 / 5
Progressive Disclosure	Section headers provide some structure, but content that could live in separate files (financial color-coding standards, formula checklists) is inlined, and referenced scripts (recalc.py, scripts/generate_schematic.py) do not exist in any bundle directory.	3 / 5
	Total	15 / 20 Passed

Description

66%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.

The description states concrete capabilities and a clear niche via file extensions, but omits an explicit 'Use when...' trigger clause, which caps completeness. Trigger-term coverage is good though missing the common 'Excel' synonym.

Suggestions

Add an explicit 'Use when...' clause naming natural triggers, e.g. 'Use when working with Excel files, .xlsx/.csv spreadsheets, or when the user asks to build or analyze financial models.'

Include the natural synonym 'Excel' alongside '.xlsx/.csv' so the description matches the phrasing users actually say.

Tighten the trailing 'for spreadsheet processing and analysis' which restates the domain without adding trigger value.

Dimension	Reasoning	Score
Specificity	Lists several concrete actions ("Create/edit with formulas/formatting, analyze data, visualization, recalculate formulas") with only minor coverage gaps, fitting the 'several specific actions' anchor rather than the comprehensive 5.	4 / 5
Completeness	The 'what' is clear (spreadsheet toolkit with create/edit/analyze capabilities) but there is no explicit 'Use when...' clause; 'for spreadsheet processing and analysis' is only weakly implied trigger guidance, capping completeness at 3 per the rubric.	3 / 5
Trigger Term Quality	Good keyword coverage with natural terms (".xlsx/.csv", "spreadsheet", "formulas", "formatting") but missing common synonyms like "Excel" that users would naturally say, placing it just below comprehensive.	4 / 5
Distinctiveness Conflict Risk	The ".xlsx/.csv" niche is mostly distinct with clear file-extension triggers, but 'spreadsheet processing and analysis' has minor overlap risk with generic CSV/data-analysis skills, so it is not a clean 5.	4 / 5
	Total	15 / 20 Passed

Validation

93%

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 — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
referenced_paths_exist	Referenced path issues: 1 missing	Warning

	Total	15 / 16 Passed

Repository: foryourhealth111-pixel/Vibe-Skills
Path: bundled/skills/xlsx/SKILL.md
Commit: d5ae560

Reviewed: 1 day ago

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