time-series-decomposer

Time Series Decomposer - Auto-activating skill for Data Analytics. Triggers on: time series decomposer, time series decomposer Part of the Data Analytics skill category.

1.00x

Quality

Does it follow best practices?

Impact

96%

1.00x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./planned-skills/generated/12-data-analytics/time-series-decomposer/SKILL.md

Evaluation results

90%

Seasonal Inventory Planning: Sales Pattern Analysis

Time series decomposition with validation

Criteria

Without context

With context

Trend component extracted

100%

Seasonal component extracted

100%

Residual component extracted

100%

Named decomposition method

100%

Additive or multiplicative choice

100%

Components visualization

100%

Reconstruction validation

Residual analysis

100%

Seasonality period identified

100%

Runnable production code

100%

Trend direction interpretation

100%

Output files saved

100%

Without context: $0.4778 · 2m 2s · 25 turns · 28 in / 6,174 out tokens

With context: $0.6004 · 2m 21s · 30 turns · 921 in / 8,060 out tokens

100%

Infrastructure Performance Review: Response Time Trend Analysis

SQL data extraction and decomposition

Criteria

Without context

With context

SQL query for extraction

100%

SQL ordering or aggregation

100%

Trend component present

100%

Seasonal component present

100%

Residual component present

100%

Named decomposition method

100%

Visualization of components

100%

BI interpretation included

100%

Runnable complete code

100%

Seasonality period stated

100%

Validation or quality check

100%

Output persisted to disk

100%

Without context: $0.6770 · 2m 36s · 30 turns · 30 in / 9,534 out tokens

With context: $0.7342 · 2m 38s · 32 turns · 144 in / 9,936 out tokens

100%

Marketing Campaign Scheduling: Website Traffic Seasonality Report

BI reporting with seasonal pattern analysis

Criteria

Without context

With context

Step-by-step process documented

100%

Trend visualization

100%

Seasonal visualization

100%

Residual visualization

100%

Named decomposition method

100%

Seasonality period quantified

100%

Seasonal amplitude reported

100%

Business interpretation of trend

100%

Seasonal peak periods identified

100%

Residual outlier or anomaly note

100%

Runnable production code

100%

Output report file saved

100%

Without context: $0.5624 · 2m 53s · 25 turns · 26 in / 9,472 out tokens

With context: $1.0332 · 4m 13s · 43 turns · 1,335 in / 14,330 out tokens

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: 0c08951

Evaluated: 18 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Seasonal Inventory Planning: Sales Pattern Analysis Infrastructure Performance Review: Response Time Trend Analysis Marketing Campaign Scheduling: Website Traffic Seasonality Report

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