LLM Evaluation

Evaluated by: xiaomi/mimo-v2-flash:free

Last evaluated: March 29, 2026

Prompt Quality

3.0 /5

Evaluation error: RetryError[]

Usefulness

3.0 /5

Evaluation error: RetryError[]

Overall Rating

3.0 /5

Evaluation failed

Prompt Preview

---
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...

Full prompt length: 29961 characters

Tools & Technologies

  • python
  • Python