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
77
88%
Does it follow best practices?
Impact
76%
1.35xAverage score across 10 eval scenarios
Passed
No known issues
Quality
Discovery
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 specific file extensions and spreadsheet-specific terminology makes it highly distinguishable and easy for Claude to match against user requests.
| 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'. These cover common file extensions and task-related terms users naturally use. | 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 other document or data skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
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 mandatory validation steps and error recovery loops. The code examples are executable and well-chosen. The main weakness is that it's somewhat verbose—the financial modeling standards section is extensive and could be split into a separate reference file, and some sections over-explain concepts (like the hardcoded vs formula examples) that could be more concise.
Suggestions
Move the detailed financial model standards (color coding, number formatting, documentation requirements) into a separate FINANCIAL_MODELS.md reference file and link to it from the main skill
Reduce the 'CRITICAL: Use Formulas' section from 6 examples to 2 (one wrong, one right) to save tokens while preserving the message
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is moderately efficient but includes some unnecessary content. The financial model color coding standards and documentation requirements are quite detailed and domain-specific, which is good, but some sections like the 'CRITICAL: Use Formulas, Not Hardcoded Values' section is overly verbose with 6 bad/good examples when 2 would suffice. The 'Code Style Guidelines' section tells Claude to write minimal code, which Claude already knows how to do. | 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 like `python recalc.py output.xlsx 30` are specific and concrete, and the JSON output format for the recalc script 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 Formula Verification Checklist provides additional validation checkpoints. The recalc step is marked as MANDATORY, and error recovery is well-documented with specific error types and their meanings. | 3 / 3 |
Progressive Disclosure | The content is reasonably well-structured with clear section headers, but it's quite long and monolithic. The financial model requirements section (color coding, number formatting, formula construction rules, documentation requirements) could be split into a separate reference file. There are no references to external files for advanced topics, and the content mixes high-level workflow with detailed reference material in a single document. | 2 / 3 |
Total | 10 / 12 Passed |
Validation
100%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
- chrisboden/cursor-skills
- Commit
ce01116
- Reviewed
Table of Contents
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