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From data-intelligence
Performs time series analysis, forecasting, and anomaly detection given a required requirement and optional focus.
How this command is triggered — by the user, by Claude, or both
Slash command
/data-intelligence:timeseries <requirement> [focus]sonnetThis command is limited to the following tools:
The summary Claude sees in its command listing — used to decide when to auto-load this command
# Timeseries Command Time series analysis, forecasting, and anomaly detection ## Arguments **$1 (Required)**: requirement **$2 (Optional)**: focus ## Examples Invoke the timeseries-specialist agent with: $ARGUMENTS
Time series analysis, forecasting, and anomaly detection
$1 (Required): requirement
$2 (Optional): focus
/timeseries "Forecast API traffic" forecasting
/timeseries "Detect metric anomalies" anomaly-detection
Invoke the timeseries-specialist agent with: $ARGUMENTS
npx claudepluginhub dotclaude/marketplace --plugin data-intelligence/experimentDesigns an ML experiment with hypothesis, split strategy, leakage checks, and evaluation plan. Searches prior work, detects type (supervised, unsupervised, time-series, anomaly), and tailors workflow.
/forecast-tsAnalyzes context to generate AI/ML task code with validation, error handling, performance metrics, insights, artifacts, and documentation.
/analyzeAnalyzes application logs from CloudWatch, ELK, or Datadog for patterns, anomalies, performance issues, and security threats, generating a markdown report with metrics, summaries, and top errors.
/ftk-mom-reportPerforms autonomous analysis of specified environment for last fiscal month with next-month forecast, generating a professional demo report.
/detect-anomalyAnalyzes context to generate AI/ML task code with validation, error handling, performance metrics, insights, saved artifacts, and documentation.