Repository · MIT
parz0val0/scan-to-practice
Scan-to-Practice: a field-tested AI skill and methodology for turning scanned learning materials into structured practice products.
★ 110
Stars
3 forks · 0 open issues
flat
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
13.8
Momentum / 100
see the breakdown below
3mo ago
Created
last push 2mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | flat, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 7.9 | last push 2mo ago; decays to zero at 180 days |
| Scale | 15 | 5.9 | 110 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 13.8 | sum of the above |
Detail
| Topics | ai-skillcomputer-visiondata-pipelinedocument-aieducationelectronknowledge-baseocrproduct-designquality-assurance |
| Matched on | Data (data-pipeline) |
| Short window | +0 stars over 7 days = 0.0/day |
| Long window | +0 stars over 26 days = 0.0/day |
| Lifetime average | 1.25 stars/day over 88 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |