AI Plugin Indexrespond-to-review vs scikit-learn
respond-to-review and scikit-learn are both developer tools skills. scikit-learn scores higher (89 vs 78 out of 100). scikit-learn has more GitHub stars (48k), and scikit-learn was updated more recently (yesterday). The table compares them side by side.
| respond-to-review | scikit-learn | |
|---|---|---|
| Score | 78 / 100 | 89 / 100 |
| What it does | Address pull request review feedback, make focused changes, and summarize the outcome in one short reply. Use when the user asks to handle, address, or respond to review comments. Not for requesting or performing a code review. | Machine learning in Python with scikit-learn. Use for classification, regression, clustering, model evaluation, and ML pipelines. |
| Publisher | Community: rome-os | Community: sickn33 |
| Grades | Maintenance A, Licence A, Quality A | Maintenance A, Licence A, Quality A |
| npm downloads a week | Not on npm | Not on npm |
| Runs | Skill | Skill |
| Works with | Claude Code, Claude apps | Claude Code, Claude apps |
| GitHub stars | 829 | 48,364 |
| Last commit | 20 Oct 2026 | 23 Oct 2026 |
| Licence | MIT | MIT |
| Listed since | 20 Oct 2026 | 22 Oct 2026 |
| Install respond-to-review | Install scikit-learn |
Questions
Is respond-to-review or scikit-learn more popular?
scikit-learn has more GitHub stars: 48,364.
Can I use respond-to-review and scikit-learn together?
Yes. AI assistants can load several skills at once. Install both and the assistant picks the right one for each task.