timesfm-forecasting
80 / 100 · Low risk
Fine to try.
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.
What this skill can do
Runs commands on your computer
Downloads and installs other software
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'timesfm-forecasting' ] || [ -L ~/.agents/skills/'timesfm-forecasting' ]; then echo 'A skill folder named timesfm-forecasting already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/roohe/agentic-super-skills' "$d" && git -C "$d" checkout --quiet 'f483e54f3ad5f202a77d45f2e57f8d970b71195f' -- 'skills_library/timesfm-forecasting' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills_library/timesfm-forecasting' ~/.agents/skills/'timesfm-forecasting' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'timesfm-forecasting' ~/.claude/skills/'timesfm-forecasting' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/roohe/agentic-super-skills/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-08 | f483e54 | 80 |