refund-eligibility vs data-throughput-accelerator
refund-eligibility and data-throughput-accelerator are both finance skills. data-throughput-accelerator scores higher (89 vs 22 out of 100). data-throughput-accelerator has more GitHub stars (287k), and data-throughput-accelerator was updated more recently (3 days ago). The table compares them side by side.
| refund-eligibility | data-throughput-accelerator | |
|---|---|---|
| Score | 22 / 100 | 89 / 100 |
| What it does | Use this skill to assess whether a customer order is eligible for a refund based on age, payment state, and channel. | Diagnose and accelerate large data movement — ingestion, backfill, export, ETL, warehouse loading, manifest catch-up, and table synchronization — by isolating the true bottleneck, benchmarking variants, and codifying the fastest path with a hard accounting block proving rows and timestamps cohere. Use when a pipeline or backfill is too slow and must get faster without losing data correctness. |
| Publisher | Community: twilio-demos | Community: affaan-m |
| Grades | Maintenance B, Licence F, Quality C | 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 | 0 | 286,849 |
| Last commit | 7 Aug 2026 | 20 Oct 2026 |
| Licence | None found | MIT |
| Listed since | 20 Oct 2026 | 23 Oct 2026 |
| Install refund-eligibility | Install data-throughput-accelerator |
Questions
Is refund-eligibility or data-throughput-accelerator more popular?
data-throughput-accelerator has more GitHub stars: 286,849.
Can I use refund-eligibility and data-throughput-accelerator together?
Yes. AI assistants can load several skills at once. Install both and the assistant picks the right one for each task.