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SkillHub ClubAnalyze Data & AIFull StackData / AI

analyzing-time-series

Comprehensive diagnostic analysis of time series data. Use when users provide CSV time series data and want to understand its characteristics before forecasting - stationarity, seasonality, trend, forecastability, and transform recommendations.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
835
Hot score
99
Updated
March 20, 2026
Overall rating
C4.4
Composite score
4.4
Best-practice grade
B71.9

Install command

npx @skill-hub/cli install https-deeplearning-ai-sc-agent-skills-files-analyzing-time-series

Repository

https-deeplearning-ai/sc-agent-skills-files

Skill path: L4/custom_skills/analyzing-time-series

Comprehensive diagnostic analysis of time series data. Use when users provide CSV time series data and want to understand its characteristics before forecasting - stationarity, seasonality, trend, forecastability, and transform recommendations.

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Full Stack, Data / AI.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: https-deeplearning-ai.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install analyzing-time-series into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/https-deeplearning-ai/sc-agent-skills-files before adding analyzing-time-series to shared team environments
  • Use analyzing-time-series for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

analyzing-time-series | SkillHub