AI Plugin Indexwechat-pay vs data-throughput-accelerator
wechat-pay and data-throughput-accelerator are both finance skills. data-throughput-accelerator scores higher (89 vs 78 out of 100). data-throughput-accelerator has more GitHub stars (287k), and wechat-pay was updated more recently (yesterday). The table compares them side by side.
| wechat-pay | data-throughput-accelerator | |
|---|---|---|
| Score | 78 / 100 | 89 / 100 |
| What it does | Collect a real WeChat Pay (微信支付) payment from inside an IM session. Use when a user in the conversation explicitly asks to pay / 下单 / 付款 / 收款 and has stated (or confirmed) an amount. Posts a Native 扫码 QR card into the session (which the bridge forwards to bound WeChat users), then confirms when the payment lands. Executes via `cloud pay create` / `cloud pay status`. This is the RUNTIME收款 capability — distinct from the wechatpay-skills coding-assistant skill, which only helps developers write integration code. | 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: Prismer-AI | Community: affaan-m |
| 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 | 1,363 | 286,849 |
| Last commit | 22 Oct 2026 | 20 Oct 2026 |
| Licence | MIT | MIT |
| Listed since | 23 Oct 2026 | 23 Oct 2026 |
| Install wechat-pay | Install data-throughput-accelerator |
Questions
Is wechat-pay or data-throughput-accelerator more popular?
data-throughput-accelerator has more GitHub stars: 286,849.
Can I use wechat-pay 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.