feature-importance-analyzer
Feature Importance Analyzer - Auto-activating skill for ML Training. Triggers on: feature importance analyzer, feature importance analyzer Part of the ML Training skill category.
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill feature-importance-analyzerOverall
score
19%
Does it follow best practices?
Validation for skill structure
Activation
7%This description is severely underdeveloped, essentially just restating the skill name without explaining what it actually does or providing meaningful trigger terms. It lacks any concrete actions, has duplicate/redundant trigger terms, and provides no guidance for when Claude should select this skill over others in an ML context.
Suggestions
Add specific concrete actions like 'Calculates feature importance using SHAP values, permutation importance, and model-specific methods. Generates visualizations and rankings of feature contributions.'
Replace the duplicate trigger terms with natural user phrases: 'which features matter most', 'variable importance', 'feature ranking', 'SHAP analysis', 'why did the model predict this'
Add an explicit 'Use when...' clause: 'Use when the user wants to understand which input features drive model predictions, asks about feature rankings, or needs to explain model behavior.'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description only names the skill ('Feature Importance Analyzer') without describing any concrete actions. There are no specific capabilities listed like 'calculates SHAP values', 'ranks features', or 'generates importance plots'. | 1 / 3 |
Completeness | The description fails to answer 'what does this do' beyond the name, and the 'when' clause is just a duplicate of the skill name rather than meaningful trigger guidance. No explicit 'Use when...' clause with actionable triggers. | 1 / 3 |
Trigger Term Quality | The trigger terms are just the skill name repeated twice ('feature importance analyzer, feature importance analyzer'). Missing natural user terms like 'which features matter', 'variable importance', 'feature ranking', 'SHAP', 'permutation importance'. | 1 / 3 |
Distinctiveness Conflict Risk | The term 'Feature Importance Analyzer' is somewhat specific to ML feature analysis, but 'ML Training skill category' is vague and could overlap with many other ML-related skills. Without specific capabilities listed, it's unclear how this differs from other ML analysis tools. | 2 / 3 |
Total | 5 / 12 Passed |
Implementation
0%This skill is a placeholder template with no actual content. It contains only meta-descriptions of what a skill should do without providing any concrete guidance on feature importance analysis. The content adds zero value as Claude already knows what feature importance is and how to analyze it - the skill should provide project-specific patterns, preferred libraries, or custom workflows.
Suggestions
Add executable code examples showing how to calculate feature importance using the project's preferred libraries (e.g., SHAP, permutation importance, tree-based importance)
Include a concrete workflow with validation steps: load model -> compute importance -> validate results -> visualize/export
Specify which feature importance methods to use for different model types (tree-based vs neural networks vs linear models)
Remove all meta-descriptions ('This skill provides...', 'Capabilities include...') and replace with actual technical content
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is entirely filler text with no actual technical substance. It repeats 'feature importance analyzer' multiple times without providing any concrete information Claude doesn't already know. | 1 / 3 |
Actionability | No executable code, no specific commands, no concrete examples. The content only describes what the skill claims to do without providing any actual guidance on how to analyze feature importance. | 1 / 3 |
Workflow Clarity | No steps, no sequence, no validation checkpoints. The skill mentions 'step-by-step guidance' but provides none. There's no actual workflow for performing feature importance analysis. | 1 / 3 |
Progressive Disclosure | No structure beyond generic headings. No references to detailed materials, no code examples to organize, and no navigation to related resources despite mentioning 'Related Skills'. | 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
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