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 multiple file extensions and specific spreadsheet operations like formula preservation and recalculation makes it both discoverable and distinctive. Minor grammatical inconsistency ('Modify' should be 'Modifying') but this doesn't impact functionality.
| 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 general data analysis or document skills due to the explicit file type anchoring. | 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 explicit validation loops via recalc.py and error recovery steps. The code examples are concrete and executable throughout. The main weakness is that it's somewhat long and could benefit from splitting domain-specific content (financial modeling standards) into separate reference files, and some sections explain things Claude already knows.
Suggestions
Move the financial model requirements (color coding, number formatting, documentation standards) into a separate FINANCIAL_MODELS.md reference file to reduce the main skill's token footprint
Trim the 'CRITICAL: Use Formulas' section — two wrong/right pairs would suffice instead of three, as Claude understands the pattern quickly
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is moderately efficient but includes some unnecessary content. The 'CRITICAL: Use Formulas, Not Hardcoded Values' section with multiple wrong/right examples is somewhat verbose for Claude. The financial model color coding and documentation requirements sections are detailed but justified given domain specificity. Some sections like 'Code Style Guidelines' telling Claude to write minimal code are somewhat redundant. | 2 / 3 |
Actionability | The skill provides fully executable, copy-paste ready code examples throughout — openpyxl creation, editing, pandas reading, formula recalculation via recalc.py with specific bash commands. The wrong vs right formula examples are concrete and actionable. The recalc.py JSON output format is clearly specified. | 3 / 3 |
Workflow Clarity | The Common Workflow section provides a clear 6-step sequence with an explicit validation/feedback loop: recalculate formulas, check for errors in JSON output, fix errors, and recalculate again. The Formula Verification Checklist adds additional validation checkpoints. Error recovery is explicitly addressed with specific error types and remediation guidance. | 3 / 3 |
Progressive Disclosure | The content is well-structured with clear headers and logical sections, but it's quite long and monolithic. The financial model requirements (color coding, number formatting, documentation standards) could be split into a separate reference file. There are no references to external files for advanced topics, and the skill tries to cover everything inline. | 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
- majiayu000/claude-skill-registry-data
- Commit
3dd3ac0
- Reviewed
Table of Contents
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