linear_calibration_ranking vs evernote
linear_calibration_ranking and evernote are both productivity skills. evernote scores higher (85 vs 58 out of 100). evernote has more GitHub stars (70k), and evernote was updated more recently (4 days ago). The table compares them side by side.
| linear_calibration_ranking | evernote | |
|---|---|---|
| Score | 58 / 100 | 85 / 100 |
| What it does | Fit non-negative layer calibration weights for LPIPS-style distances using bounded 2AFC ranking feedback. | Read and create notes through Evernote's official MCP server. |
| Publisher | Community: VectorSpaceLab | Community: asgeirtj |
| Grades | Maintenance B, Licence A, Quality B | 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 | 339 | 69,933 |
| Last commit | 3 Sept 2026 | 19 Oct 2026 |
| Licence | Apache-2.0 | CC0-1.0 |
| Listed since | 20 Oct 2026 | 19 Oct 2026 |
| Install linear_calibration_ranking | Install evernote |
Questions
Is linear_calibration_ranking or evernote more popular?
evernote has more GitHub stars: 69,933.
Can I use linear_calibration_ranking and evernote together?
Yes. AI assistants can load several skills at once. Install both and the assistant picks the right one for each task.