Repository
google-research/timesfm agent skills
- skill
- 1
- GitHub stars
- 34k
GitHub description: “TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.”
- Stars
- 34,169 (3,302 forks)
- Licence
- Apache-2.0
- Last push
- Sep 2026
- Created
- Apr 2024
Install all skills
npx skills add google-research/timesfmAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in google-research/timesfm, ranked
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training. | google-research/ | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | 10 days ago |
Questions, answered from the data.
What is the best skill in google-research/timesfm?
TimesFM Forecasting from google-research/timesfm ranks first of the 1 skills in google-research/timesfm listed here, with the highest score: its repository has 34k GitHub stars, its SKILL.md loads about 4.7k tokens and it passes the automated safety check with no findings.
Are the skills in google-research/timesfm official?
None yet. All 1 skills in google-research/timesfm listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from google-research/timesfm?
Run npx skills add google-research/timesfm in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.