churn-analysis-helper
Churn Analysis Helper - Auto-activating skill for Data Analytics. Triggers on: churn analysis helper, churn analysis helper Part of the Data Analytics skill category.
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill churn-analysis-helperOverall
score
17%
Does it follow best practices?
Validation for skill structure
Activation
0%This description is essentially a placeholder with no substantive content. It lacks any concrete capabilities, meaningful trigger terms, or guidance on when to use the skill. The only information provided is the skill name and a generic category label, making it nearly useless for skill selection among multiple options.
Suggestions
Add specific capabilities: 'Analyzes customer churn patterns, calculates retention rates, identifies at-risk customers, generates cohort analysis reports'
Include natural trigger terms users would say: 'Use when user mentions customer churn, retention analysis, attrition, customer loss, why customers leave, or subscription cancellations'
Add explicit 'Use when...' clause that distinguishes this from general data analytics skills, focusing on the customer retention/churn domain
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description contains no concrete actions - only the name 'Churn Analysis Helper' and category 'Data Analytics'. There are no specific capabilities listed like 'analyze customer retention', 'identify churn patterns', or 'generate churn reports'. | 1 / 3 |
Completeness | The description fails to answer both 'what does this do' (no capabilities listed) and 'when should Claude use it' (no explicit use-case guidance). The 'Triggers on' section just repeats the skill name. | 1 / 3 |
Trigger Term Quality | The only trigger terms listed are 'churn analysis helper' repeated twice, which is the skill name itself rather than natural user language. Missing obvious terms users would say like 'customer churn', 'retention analysis', 'why are customers leaving', 'attrition rate'. | 1 / 3 |
Distinctiveness Conflict Risk | The description is extremely generic - 'Data Analytics skill category' could apply to dozens of analytics skills. Nothing distinguishes this from other data analysis tools or clarifies its specific niche in churn/retention analysis. | 1 / 3 |
Total | 4 / 12 Passed |
Implementation
0%This skill is essentially an empty placeholder that describes what a churn analysis skill should do without providing any actual content. It contains no SQL queries, no analysis methodology, no visualization guidance, and no concrete examples. The entire content could be replaced with actual churn analysis instructions.
Suggestions
Add concrete SQL queries for calculating churn metrics (e.g., monthly churn rate, cohort retention)
Include specific steps for churn analysis workflow: data extraction, metric calculation, visualization, interpretation
Provide executable code examples for common churn visualizations (retention curves, cohort heatmaps)
Remove all generic boilerplate text and replace with actionable, domain-specific guidance for churn analysis
| 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 meaningless filler that Claude doesn't need. | 1 / 3 |
Actionability | The skill contains zero concrete guidance, no code examples, no SQL queries, no specific steps for churn analysis. It only describes what it claims to do without actually providing any executable instructions. | 1 / 3 |
Workflow Clarity | There is no workflow defined at all. The skill mentions 'step-by-step guidance' but provides none. No sequence of operations, no validation steps, nothing actionable. | 1 / 3 |
Progressive Disclosure | The content is a monolithic block of vague descriptions with no references to detailed materials, no links to examples, SQL templates, or visualization guides that would be expected for a data analytics skill. | 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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