Time series & forecasting

The top-rated launch-quality Time series & forecasting skill for AI agents is forecasting-reverso (grade B), followed by adapt-model-to-easytsf and alterlab-timesfm. Skillspace rates 64 Time series & forecasting skills; 12 are launch-quality.

Forecasting, anomaly detection and temporal modelling.

Launch-quality skills first, then by grade, then by our Skill Score, which adds judge reviews, test results, GitHub stars and adoption.

  1. forecasting-reverso B
  2. adapt-model-to-easytsf B
  3. alterlab-timesfm B
  4. pastas B
  5. aeon C
  6. timesfm-forecasting C
  7. climpred-forecast-verification C
  8. earth2studio-deterministic-forecast C
  9. mfg-predictive-maintenance C
  10. prepare-data-for-easytsf C
  11. run-workflow-with-easytsf C
  12. data-split C
  13. timesfm-forecasting B
  14. aeon C
  15. prediction-intervals D
  16. deep-learning-forecasting D
  17. signals-scout-anomaly-detection D
  18. statistical-models D
  19. metric-selection D
  20. foundation-forecasting D
  21. feature-engineering D
  22. autocorrelation-and-lag-selection D
  23. forecasting-multiple-series D
  24. backtesting-configuration D
  25. choosing-a-forecaster D

Frequently asked questions

What is the best Time series & forecasting skill for AI agents?

The top-rated launch-quality Time series & forecasting skill for AI agents is forecasting-reverso (grade B), followed by adapt-model-to-easytsf and alterlab-timesfm. Skillspace rates 64 Time series & forecasting skills; 12 are launch-quality.

How does Skillspace rate Time series & forecasting skills?

Skillspace grades every Time series & forecasting skill from A to F with a published scoring engine that reads the skill's SKILL.md: architecture and maturity make the score, and a security scan can cap it. In crowded categories, a judge model also compares the strongest contenders side by side, and some skills are tested head-to-head on real tasks against other skills in the same category (including a deliberately weak one) and a no-skill baseline. Launch-quality skills are graded A to C with a clean safety verdict, and not excluded by a quality filter: the filters catch skills our model's safety screen flags for prompt injection, guardrail bypass, harmful content or credential exposure; test fixtures and attack benchmarks; skills written only for the repository they live in; templates and stubs; and near-duplicate variants and copies of other skills. Ratings were last updated on 24 September 2026; the full method is on the methodology page.

Are Time series & forecasting skills safe to install?

Of the 64 Time series & forecasting skills Skillspace rates, 64 passed its safety scan and none are flagged. Each skill's page shows its safety verdict. A pass is not a guarantee: the scan reads only the skill's SKILL.md, not the scripts or other files it ships, and looks for patterns such as piping a remote script into a shell, reading credentials or hiding actions from the user. Skills are third-party code that Skillspace indexes but does not host or endorse, so read a skill's source on GitHub before you install it.

Skillspace indexes and rates skills; it does not host or endorse them. Run third-party skills at your own risk.