timesfm-forecasting

Name: timesfm-forecasting
Author: K-Dense-AI

Zero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate time series (sales, sensors, energy, vitals, weather) without training a custom model. Supports CSV/DataFrame/array inputs with point forecasts and prediction intervals. Includes a preflight system checker script to verify RAM/GPU before first use.

timesfm forecasting

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---
name: timesfm-forecasting
description: Zero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate time series (sales, sensors, energy, vitals, weather) without training a custom model. Supports CSV/DataFrame/array inputs with point forecasts and prediction intervals. Includes a preflight system checker script to verify RAM/GPU before first use.
allowed-tools: Read Write Edit Bash
license: Apache-2.0 license
metadata:
  skill-author: Clayton Young / Super

How to Use

Recommended: Install to project (local)

mkdir -p .claude/skills
curl -o .claude/skills/timesfm-forecasting.md \
  https://raw.githubusercontent.com/K-Dense-AI/claude-scientific-skills/main/scientific-skills/timesfm-forecasting/SKILL.md

Skill is scoped to this project only. Add .claude/skills/ to your .gitignoreif you don't want to commit it.

Alternative: Clone full repo

git clone https://github.com/K-Dense-AI/claude-scientific-skills

Then reference at scientific-skills/timesfm-forecasting/SKILL.md