Packs

1 pack

Results for “revshare”

9 skills
nvidia
vss-search-archive
Search archived video using natural language, ingest video files or RTSP streams, and manage ingested sources.
2.2k · bundle
intelli-verse-x
ivx-qv-superwall
Provides Superwall REST API access, ClickHouse data analytics, documentation lookup, SDK integration triage, dashboard linking, and SDK source cloning. Use when the user asks about Superwall paywalls, campaigns, subscriptions, API usage, data analysis, SDK integration, webhook events, or debugging SDK behavior.`
0 · bundle
antigravity
convex
Design schemas, write TypeScript functions, set up real-time subscriptions, authentication, file storage, scheduling, and deployment for Convex reactive backend projects.
42.4k
leandrobenjaminl
shared-git-data
Sets up Git-based version control for data science projects, handling notebooks, datasets, and pipelines with DVC and nbstripout.
0
soneta
soneta-repx
Wydruki i raporty w Soneta (enova365, Triva) — pliki .repx (DevExpress XtraReports, serializowany XML). Sięgaj przy KAŻDYM zadaniu z wydrukiem/raportem: faktura, dokument, deklaracja, lista, zestawienie; utworzenie, przeróbka lub poprawa .repx (też z załącznika); pytanie „jak w wydruku zrobić X”. Typowe X: podpięcie danych (lista, dokument z pozycjami, master-detail, podraport), podział stron, kolumna Lp, tabele, grupowanie i sumy, formatowanie warunkowe, kwoty, nakładanie wartości na skan formularza, nagłówek/stopka/podpisy, arkusz stylów (.repss), rejestracja wydruku. Wyzwalają też pojęcia: XtraReportsLayoutSerializer, StyleSheetSerializer, pasma (DetailBand/DetailReportBand/GroupHeaderBand/SubBand), kontrolki (XRLabel/XRTable/AmountLabel), BusinessDataSource/DataKind, ReportContext, ExpressionBindings/Summary/CalculatedFields/FilterString, [assembly: DxReport], ReportSnippet/[DxBind]. Wystarczy „wydruk”, „raport” lub „.repx” w kontekście Soneta. NIE dla: business.xml, form.xml, SQL, Excel, Word .dotx.
9 · bundle
lingxling
convex
Design schemas, write TypeScript functions, and manage real-time subscriptions, auth, file storage, scheduling, and deployment for Convex backends.
253
qhjqhj00
ray-data
Process large ML datasets in parallel across CPU or GPU clusters, with streaming execution, multi-format I/O, and integration with Ray Train, PyTorch, and TensorFlow for batch inference and preprocessing pipelines.
3 · bundle
qcmuu
ray-data
Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of nodes. Use for batch inference, data preprocessing, multi-modal data loading, or distributed ETL pipelines.
0 · bundle
redpanda-data
streaming
Operate Redpanda through its Kafka-compatible API: produce and consume records, manage topics and consumer groups, run transactions, and configure tiered storage using rpk and Kafka clients.
6 · bundle