forecasting-time-series-data
This skill enables Claude to forecast future values based on historical time series data. It analyzes time-dependent data to identify trends, seasonality, and other patterns. Use this skill when the user asks to predict future values of a time series, analyze trends in data over time, or requires insights into time-dependent data. Trigger terms include "forecast," "predict," "time series analysis," "future values," and requests involving temporal data.
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Installation for Agentic Skill
View all platforms →skilz install jeremylongshore/claude-code-plugins-nixtla/forecasting-time-series-data skilz install jeremylongshore/claude-code-plugins-nixtla/forecasting-time-series-data --agent opencode skilz install jeremylongshore/claude-code-plugins-nixtla/forecasting-time-series-data --agent codex skilz install jeremylongshore/claude-code-plugins-nixtla/forecasting-time-series-data --agent gemini
First time? Install Skilz: pip install skilz
Works with 14 AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/jeremylongshore/claude-code-plugins-nixtla cp -r claude-code-plugins-nixtla/archive/backups-20251108/skill-structure-cleanup-20251108-073936/plugins/ai-ml/time-series-forecaster/skills/time-series-forecaster ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- jeremylongshore (GitHub)
- Repository
- claude-code-plugins-nixtla
- Type
- Non-Technical
- Meta-Domain
- data ai
- Primary Domain
- data analysis
- Market Score
- 17.1
Browse Category
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