Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill regression-analysis-helperRegression Analysis Helper - Auto-activating skill for Data Analytics. Triggers on: regression analysis helper, regression analysis helper Part of the Data Analytics skill category.
Overall
score
19%
Does it follow best practices?
Validation for skill structure
Activation
7%This description is severely underdeveloped, consisting primarily of boilerplate metadata rather than actionable content. It fails to describe any concrete capabilities, uses only the skill name as trigger terms, and provides no guidance on when Claude should select it. The description would be nearly useless for skill selection among multiple data-related skills.
Suggestions
Add specific actions the skill performs, such as 'Fits linear and multiple regression models, calculates coefficients and R-squared values, generates prediction intervals, and diagnoses model assumptions.'
Include a 'Use when...' clause with natural trigger terms like 'Use when the user asks about regression, predicting values, fitting a line, correlation analysis, or statistical modeling.'
Add common user phrases and file types: 'regression', 'predict', 'forecast', 'linear model', 'dependent variable', 'CSV data', 'scatter plot with trend line'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description contains no concrete actions - only the name 'Regression Analysis Helper' and category 'Data Analytics'. It doesn't describe what the skill actually does (e.g., fit models, calculate coefficients, generate predictions). | 1 / 3 |
Completeness | The description fails to answer 'what does this do' beyond the generic name, and the 'when' clause is just the skill name repeated. There is no explicit guidance on when Claude should select this skill. | 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 like 'linear regression', 'predict', 'correlation', 'R-squared', 'fit model'. | 1 / 3 |
Distinctiveness Conflict Risk | While 'regression analysis' is a specific statistical domain, the lack of detail means it could overlap with general statistics or data analysis skills. The category mention 'Data Analytics' is too broad to differentiate. | 2 / 3 |
Total | 5 / 12 Passed |
Implementation
0%This skill content is an empty template with no actual instructional value. It contains only placeholder text that repeats the skill name without providing any concrete guidance on regression analysis - no code examples, no statistical methods, no tool recommendations, and no workflows. The content fails to teach Claude anything it doesn't already know.
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 for regression analysis: data exploration → assumption checking → model fitting → diagnostics → interpretation
Provide specific guidance on when to use different regression types (linear, logistic, polynomial, ridge, lasso) with decision criteria
Add validation checkpoints such as checking for multicollinearity, heteroscedasticity, and residual analysis with specific code snippets
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is entirely boilerplate with no actual substance. It repeats 'regression analysis helper' multiple times without providing any real information, and explains generic concepts Claude already knows (like 'provides step-by-step guidance'). | 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. There are no steps, no sequence, no validation checkpoints - just vague claims about providing 'step-by-step guidance' without actually providing any. | 1 / 3 |
Progressive Disclosure | The content is a flat, repetitive structure with no meaningful organization. There are no references to detailed materials, no clear sections with actual content, and no navigation to deeper resources. | 1 / 3 |
Total | 4 / 12 Passed |
Validation
69%Validation — 11 / 16 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
description_trigger_hint | Description may be missing an explicit 'when to use' trigger hint (e.g., 'Use when...') | Warning |
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
metadata_version | 'metadata' field is not a dictionary | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
body_steps | No step-by-step structure detected (no ordered list); consider adding a simple workflow | Warning |
Total | 11 / 16 Passed | |
Reviewed
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.