csv-processor
Csv Processor - Auto-activating skill for Business Automation. Triggers on: csv processor, csv processor Part of the Business Automation skill category.
32
Quality
0%
Does it follow best practices?
Impact
91%
1.00xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./planned-skills/generated/19-business-automation/csv-processor/SKILL.mdQuality
Discovery
0%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 description is severely underdeveloped and fails on all dimensions. It provides no concrete actions, no natural trigger terms users would say, no guidance on when to use it, and nothing to distinguish it from other data processing skills. The description appears to be auto-generated boilerplate without meaningful content.
Suggestions
Add specific concrete actions like 'Parse CSV files, filter rows, transform columns, merge datasets, convert to JSON/Excel formats'
Add a 'Use when...' clause with natural trigger terms: 'Use when working with CSV files, .csv imports, comma-separated data, or tabular text data'
Include common user phrases and file extensions: 'CSV', '.csv files', 'comma-separated values', 'import spreadsheet data', 'parse tabular data'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description only says 'Csv Processor' without describing any concrete actions. There are no verbs or specific capabilities listed - it doesn't explain what processing means (parsing, filtering, transforming, exporting, etc.). | 1 / 3 |
Completeness | The description fails to answer 'what does this do' beyond the vague 'processor' label, and completely lacks any 'when to use' guidance. There is no 'Use when...' clause or equivalent trigger guidance. | 1 / 3 |
Trigger Term Quality | The only trigger terms listed are 'csv processor' repeated twice. Missing natural user terms like 'CSV file', 'spreadsheet', 'comma-separated', '.csv', 'parse CSV', 'import data', or 'tabular data'. | 1 / 3 |
Distinctiveness Conflict Risk | The description is extremely generic. 'Business Automation' and 'processor' could overlap with many other data handling skills. Nothing distinguishes this from Excel processing, data transformation, or other file handling skills. | 1 / 3 |
Total | 4 / 12 Passed |
Implementation
0%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is an empty template with no actual content about CSV processing. It contains only generic boilerplate text that could apply to any skill topic. There is no actionable guidance, no code examples, no specific techniques, and no real information about how to work with CSV files.
Suggestions
Add executable Python code examples showing common CSV operations (reading, writing, filtering, transforming) using csv module or pandas
Include specific patterns for common CSV tasks: handling headers, dealing with encoding issues, processing large files, data validation
Provide concrete examples with sample input/output showing expected data transformations
Remove all generic boilerplate text and replace with actual CSV processing techniques and best practices
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is padded with generic boilerplate that explains nothing specific about CSV processing. Phrases like 'provides automated assistance' and 'follows industry best practices' are meaningless filler that Claude doesn't need. | 1 / 3 |
Actionability | No concrete code, commands, or specific guidance is provided. The skill describes what it claims to do but never shows how to actually process a CSV file. Zero executable content. | 1 / 3 |
Workflow Clarity | No workflow is defined. Claims to provide 'step-by-step guidance' but contains no actual steps. There are no validation checkpoints or any process to follow. | 1 / 3 |
Progressive Disclosure | No structure beyond generic headings. No references to detailed documentation, examples, or related files. The content is a shallow placeholder with no depth to disclose. | 1 / 3 |
Total | 4 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
- Commit
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- Reviewed
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