regression-analysis-helper
Regression Analysis Helper - Auto-activating skill for Data Analytics. Triggers on: regression analysis helper, regression analysis helper Part of the Data Analytics skill category.
35
Quality
3%
Does it follow best practices?
Impact
93%
0.93xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./planned-skills/generated/12-data-analytics/regression-analysis-helper/SKILL.mdQuality
Discovery
7%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 essentially a placeholder that provides almost no useful information for skill selection. It repeats the skill name as its only trigger term and fails to describe any concrete capabilities or usage scenarios. The description would be nearly useless in a multi-skill environment where Claude needs to distinguish between analytics-related skills.
Suggestions
Add specific concrete actions the skill performs, e.g., 'Fits linear and logistic regression models, interprets coefficients, calculates R-squared, identifies significant predictors, and diagnoses model assumptions.'
Include a 'Use when...' clause with natural trigger terms: 'Use when the user asks about predicting outcomes, fitting regression models, understanding variable relationships, or mentions terms like linear regression, logistic regression, coefficients, or predictive modeling.'
Remove the redundant trigger term repetition and replace with diverse natural language variations users would actually say when needing regression help.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description only names the domain ('Regression Analysis Helper', 'Data Analytics') but provides no concrete actions. It doesn't explain what the skill actually does - no mention of fitting models, interpreting coefficients, handling variables, or any specific regression tasks. | 1 / 3 |
Completeness | The description fails to answer 'what does this do' beyond the vague category label, and has no 'Use when...' clause or equivalent guidance for when Claude should select this skill. Both the what and when are essentially missing. | 1 / 3 |
Trigger Term Quality | The only trigger terms listed are 'regression analysis helper' repeated twice, which is the skill name itself rather than natural user language. Missing obvious terms users would say like 'linear regression', 'predict', 'correlation', 'fit a model', 'R-squared', etc. | 1 / 3 |
Distinctiveness Conflict Risk | While 'regression analysis' is somewhat specific compared to generic 'data analytics', the lack of detail about what types of regression or specific capabilities means it could overlap with other statistical or data analysis skills without clear differentiation. | 2 / 3 |
Total | 5 / 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 essentially an empty template with no substantive content. It describes what a regression analysis helper should do but provides absolutely no actual guidance, code, examples, or workflows for performing regression analysis. The entire content is meta-description without any actionable information.
Suggestions
Add concrete, executable code examples for common regression tasks (e.g., linear regression with scikit-learn or statsmodels, including data preparation and model evaluation)
Include a clear workflow with steps: data preparation → model selection → fitting → validation → interpretation of results
Provide specific examples of regression analysis outputs (coefficients interpretation, R², p-values) with sample data
Remove all generic boilerplate ('provides automated assistance', 'follows best practices') and replace with actual technical content
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is padded with generic boilerplate that provides no actual value. Phrases like 'provides automated assistance' and 'follows industry best practices' are vague filler that Claude doesn't need. | 1 / 3 |
Actionability | There is zero concrete guidance, no code examples, no specific commands, and no actual instructions for performing regression analysis. The content only describes what the skill claims to do without showing how. | 1 / 3 |
Workflow Clarity | No workflow is defined. The skill mentions 'step-by-step guidance' but provides none. There are no steps, no sequence, and no validation checkpoints for any regression analysis task. | 1 / 3 |
Progressive Disclosure | The content is a monolithic block of meta-description with no actual content to organize. There are no references to detailed materials, no links to examples, and no structured navigation to deeper content. | 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
0c08951
- Reviewed
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