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date-range-analyzer

Date Range Analyzer - Auto-activating skill for Data Analytics. Triggers on: date range analyzer, date range analyzer Part of the Data Analytics skill category.

33

1.00x
Quality

0%

Does it follow best practices?

Impact

95%

1.00x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./planned-skills/generated/12-data-analytics/date-range-analyzer/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Discovery

0%

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 critically weak across all dimensions. It reads like an auto-generated stub with no substantive content—it fails to describe what the skill does, provides no natural trigger terms, and lacks any 'Use when...' guidance. The repeated trigger term 'date range analyzer' adds no value.

Suggestions

Add concrete actions describing what the skill does, e.g., 'Analyzes date ranges in datasets, calculates durations, filters records by time periods, and identifies trends across date intervals.'

Add an explicit 'Use when...' clause with natural trigger terms, e.g., 'Use when the user asks about date ranges, time periods, filtering by dates, date comparisons, duration calculations, or temporal analysis.'

Remove the redundant duplicate trigger term and replace with diverse natural keywords users would actually say, such as 'date filter', 'time range', 'between dates', 'date span', 'temporal data'.

DimensionReasoningScore

Specificity

The description says 'Date Range Analyzer' and mentions 'Data Analytics' but provides no concrete actions. There is no indication of what the skill actually does—no verbs describing capabilities like 'analyzes', 'computes', 'filters', etc.

1 / 3

Completeness

The description fails to answer both 'what does this do' and 'when should Claude use it'. There is no explanation of capabilities and no explicit 'Use when...' clause—only a redundant trigger phrase.

1 / 3

Trigger Term Quality

The only trigger terms listed are 'date range analyzer' repeated twice, which is not a natural phrase users would say. Missing common variations like 'date range', 'date filter', 'time period', 'between dates', 'date analysis', etc.

1 / 3

Distinctiveness Conflict Risk

The description is extremely generic—'Data Analytics' could overlap with many other skills. Without specific actions or clear scope, it would be nearly impossible to distinguish this from other analytics-related skills.

1 / 3

Total

4

/

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 an empty template with no substantive content. It repeatedly references 'date range analyzer' without ever defining what it does, how to do it, or providing any executable code, SQL queries, or concrete guidance. It fails on every dimension as it contains only boilerplate meta-descriptions rather than actionable instructions.

Suggestions

Add concrete SQL examples for common date range analysis patterns (e.g., filtering by date ranges, calculating rolling averages, comparing periods)

Include executable code snippets for date range operations in SQL and/or Python with specific input/output examples

Define a clear workflow for date range analysis tasks, such as: 1) Identify date columns, 2) Determine range boundaries, 3) Write query, 4) Validate results

Remove all boilerplate sections (When to Use, Example Triggers, Capabilities) and replace with actual technical content that teaches Claude something it doesn't already know

DimensionReasoningScore

Conciseness

The content is entirely filler and boilerplate. It explains nothing Claude doesn't already know, repeats 'date range analyzer' excessively, and provides zero actual technical content or instructions.

1 / 3

Actionability

There is no concrete guidance whatsoever—no code, no commands, no SQL examples, no specific steps for analyzing date ranges. Every section is vague and abstract.

1 / 3

Workflow Clarity

No workflow is defined. The skill claims to provide 'step-by-step guidance' but contains zero steps. There are no sequences, validation checkpoints, or processes described.

1 / 3

Progressive Disclosure

The content is a flat, monolithic block of generic placeholder text with no references to detailed materials, no structured sections with real content, and no navigation to supporting files.

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.

Validation9 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

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

Repository
jeremylongshore/claude-code-plugins-plus-skills
Reviewed

Table of Contents

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