analyzing-time-series
星标1,400
分支165
更新时间2026年2月5日 16:49
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.
· 实时索引
安装
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
想先保存到本地？可下载 RuleHub 当前索引到的 GitHub 仓库压缩包。
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SKILL.mdreadonly
| name | analyzing-time-series |
| description | Comprehensive diagnostic analysis of time series data. Use when users provide CSV time series data and want to understan... |
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.
When to use
Use this skill when the user needs help with tasks related to analyzing time series.
Guidelines
- Follow repository conventions in
datawhalechina/agent-skills-with-anthropic - Prefer minimal, focused changes
- Validate outputs before finishing