TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
# TimesFM — Agent Entry Point
This repository ships a first-party **Agent Skill** for TimesFM at:
```
timesfm-forecasting/
└── SKILL.md ← read this for the full skill
```
## Install the skill
Copy the skill directory into your agent's skills folder:
```bash
# Cursor / Claude Code / OpenCode / Codex (global install)
cp -r timesfm-forecasting/ ~/.cursor/skills/
cp -r timesfm-forecasting/ ~/.claude/skills/
# Or project-level
cp -r timesfm-forecasting/ .cursor/skills/
```
Any agent that supports the open [Agent Skills standard](https://agentskills.io) will discover it automatically.
## Working in this repo
If you are developing TimesFM itself (not using it), the source lives in `src/timesfm/`.
Archived v1/v2 code and notebooks are in `v1/`.
Run tests:
```bash
pytest v1/tests/
```
See `README.md` for full developer setup.