correlation-analyzer
Correlation Analyzer - Auto-activating skill for Data Analytics. Triggers on: correlation analyzer, correlation analyzer Part of the Data Analytics skill category.
31
Quality
3%
Does it follow best practices?
Impact
72%
0.92xAverage 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/correlation-analyzer/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 only states the skill name and category without describing capabilities, use cases, or meaningful trigger terms. Claude would have difficulty knowing when to select this skill over other data analytics tools.
Suggestions
Add specific capabilities: describe what the skill actually does (e.g., 'Calculates Pearson and Spearman correlation coefficients, generates correlation matrices, creates scatter plots with trend lines')
Add a 'Use when...' clause with natural trigger terms users would say (e.g., 'Use when analyzing relationships between variables, checking for correlation, creating correlation matrices, or when user mentions r-value, scatter plots, or variable relationships')
Remove the duplicate trigger term and expand with variations users might naturally use (e.g., 'correlation', 'correlated', 'relationship between', 'r-squared', 'covariance')
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description only names the skill ('Correlation Analyzer') and category ('Data Analytics') without describing any concrete actions. No specific capabilities like 'calculate correlation coefficients', 'generate scatter plots', or 'identify variable relationships' are mentioned. | 1 / 3 |
Completeness | The description fails to answer 'what does this do' beyond the name, and the 'when' guidance is just the skill name repeated. There is no explicit 'Use when...' clause or meaningful trigger guidance. | 1 / 3 |
Trigger Term Quality | The only trigger terms listed are 'correlation analyzer' repeated twice, which is the skill name itself. Missing natural user terms like 'correlation', 'relationship between variables', 'r-squared', 'scatter plot', 'statistical relationship', etc. | 1 / 3 |
Distinctiveness Conflict Risk | While 'correlation' is somewhat specific within data analytics, the lack of detail means it could overlap with general statistics skills or other data analysis tools. The term 'Data Analytics' is very broad. | 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 a placeholder template with no actual content. It contains only generic boilerplate text that describes what a skill should do without providing any concrete guidance on correlation analysis, statistical methods, code examples, or actionable instructions. The content adds zero value beyond what Claude already knows.
Suggestions
Add executable code examples for common correlation analyses (Pearson, Spearman, etc.) with specific libraries like pandas or scipy
Include concrete SQL queries for calculating correlations in databases
Provide a clear workflow for correlation analysis: data preparation → method selection → calculation → interpretation → visualization
Add specific examples of input data and expected output formats for correlation matrices and visualizations
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is entirely boilerplate with no actual technical substance. It explains what the skill does in abstract terms without providing any concrete information Claude doesn't already know. | 1 / 3 |
Actionability | No concrete code, commands, or executable guidance provided. The content only describes capabilities in vague terms like 'provides step-by-step guidance' without actually providing any guidance. | 1 / 3 |
Workflow Clarity | No workflow, steps, or process defined. The skill claims to provide 'step-by-step guidance' but contains zero actual steps for performing correlation analysis. | 1 / 3 |
Progressive Disclosure | No structure beyond generic headings. No references to detailed materials, no examples, and no navigation to related content despite mentioning 'Related Skills'. | 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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