retention-calculator
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill retention-calculatorRetention Calculator - Auto-activating skill for Data Analytics. Triggers on: retention calculator, retention calculator 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, essentially serving as a placeholder rather than a functional skill description. It provides no information about what the skill actually calculates, what inputs it expects, or what outputs it produces. The repeated trigger term and boilerplate category mention add no value for skill selection.
Suggestions
Add specific actions the skill performs, e.g., 'Calculates customer retention rates, cohort retention curves, and churn metrics from user activity data'
Include a proper 'Use when...' clause with natural trigger terms like 'Use when analyzing customer retention, calculating churn rates, building cohort analyses, or measuring user engagement over time'
Expand trigger terms to include variations users would naturally say: 'retention rate', 'churn analysis', 'cohort retention', 'customer lifetime', 'user retention metrics'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description only names the skill ('Retention Calculator') without describing any concrete actions. There are no verbs indicating what the skill actually does - no mention of calculating, analyzing, measuring, or any specific operations. | 1 / 3 |
Completeness | The description fails to answer 'what does this do' beyond the name itself, and provides no explicit 'when to use' guidance. The 'Triggers on' line is not a proper 'Use when...' clause and only repeats the skill name. | 1 / 3 |
Trigger Term Quality | The only trigger term listed is 'retention calculator' repeated twice. This is extremely narrow and misses natural variations users might say like 'customer retention', 'churn rate', 'user retention analysis', 'cohort analysis', or 'retention metrics'. | 1 / 3 |
Distinctiveness Conflict Risk | While 'Retention Calculator' is somewhat specific to a domain, the lack of detail about what kind of retention (customer, employee, data) and what calculations are performed could cause confusion with other analytics or calculation skills. | 2 / 3 |
Total | 5 / 12 Passed |
Implementation
0%This skill is entirely meta-content describing what a retention calculator skill would do, without any actual retention calculation guidance. It lacks SQL examples for cohort analysis, retention formulas, visualization approaches, or any concrete implementation details. The content is essentially a placeholder template with no actionable value.
Suggestions
Add concrete SQL examples for calculating retention (e.g., cohort-based retention queries, DAU/MAU calculations, churn rate formulas)
Include specific retention metric definitions and formulas (Day-N retention, rolling retention, bracket retention)
Provide example output formats showing how to structure and visualize retention data
Remove all meta-description content ('This skill provides...', 'When to Use...') and replace with actual implementation guidance
| 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 SQL queries, no code examples, no specific retention calculation formulas or methods. The skill describes what it claims to do rather than instructing how to do it. | 1 / 3 |
Workflow Clarity | No workflow is defined. Claims to provide 'step-by-step guidance' but contains no actual steps. There are no validation checkpoints or sequences for calculating retention metrics. | 1 / 3 |
Progressive Disclosure | The content is a monolithic block of meta-description with no structure pointing to actual implementation details. No references to examples, formulas, or detailed documentation. | 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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