npx skills add majiayu000/claude-skill-registry --skill fastai --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# fastai fastai is a layered API on top of PyTorch. It popularized **Transfer Learning** and good defaults (One Cycle Policy). ## When to Use - **Learning DL**: The best course/library for beginners ("Practical Deep Learning for Coders"). - **Quick Baselines**: Get state-of-the-art results in 5 lines of code. ## Core Concepts ### Defaults fastai chooses the best learning rate finder, optimizer (AdamW), and augmentations for you. ### Layered API You can use the high-level `Learner` or peel back layers to raw PyTorch. ## Best Practices (2025) **Do**: - **Watch the Course**: Jeremy Howard's course updates annually and is world-class. - **Use `nbdev`**: fastai's literate programming environment is powerful. **Don't**: - **Don't get stuck**: If you need something very custom, drop down to PyTorch. ## References - [fast.ai](https://www.fast.ai/)
- When to Use
- Core Concepts
- Defaults
- Layered API
- Best Practices (2025)
- References
What does the fastai skill do?
fast.ai deep learning library. Use for practical deep learning.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill fastai --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.