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.
Install
npx skills add https-deeplearning-ai/sc-agent-skills-files --skill analyzing-time-seriesnpx skills add https-deeplearning-ai/sc-agent-skills-files --skill analyzing-time-series -a claude-code -gnpx skills add https-deeplearning-ai/sc-agent-skills-files --skill analyzing-time-series -a codex -ggemini skills install https://github.com/https-deeplearning-ai/sc-agent-skills-files.git --path L4/custom_skills/analyzing-time-seriesgh skill install https-deeplearning-ai/sc-agent-skills-files analyzing-time-seriesgit clone --depth 1 https://github.com/https-deeplearning-ai/sc-agent-skills-files /tmp/https-deeplearning-ai__sc-agent-skills-files
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/https-deeplearning-ai__sc-agent-skills-files/L4/custom_skills/analyzing-time-series ~/.claude/skills/analyzing-time-series # Claude Code
cp -R /tmp/https-deeplearning-ai__sc-agent-skills-files/L4/custom_skills/analyzing-time-series ~/.agents/skills/analyzing-time-series # Codex, Cursor, Gemini CLI, Copilot, OpenCode