streaming plugins

The directory indexes 7 plugins tagged “streaming” from 6 public source repositories, with 28 skills and 0 MCP servers across the collection.

7 plugins6 repositories2 cross-runtimeIndexing methodology →

tag: streaming Clear all

grpc-service-generator
by Jeremy Longshore
Generate gRPC services with Protocol Buffers and streaming support
Claude Code1 Skill
2.8kUpdated last week
grpc-service-generator
by Jeremy Longshore
Generate gRPC services with Protocol Buffers and streaming support
Claude Code1 Skill
2.7kUpdated 4 weeks ago
grpc-service-generator
by Jeremy Longshore
Generate gRPC services with Protocol Buffers and streaming support
Claude Code1 Skill
1.8kUpdated 5 days ago
sap-cloud-sdk-ai
by Eduard Jiglau
Integrates SAP Cloud SDK for AI into JavaScript/TypeScript and Java applications. Use when building applications with SAP AI Core, Generative AI Hub, or Orchestration Service. Covers chat completion, embedding, streaming, function calling, content filtering, data masking, document grounding, prompt registry, and LangChain/Spring AI integration. Supports OpenAI GPT-4o, Llama, Gemini, Amazon Nova, and other foundation models via SAP BTP.
CodexClaude Code1 Skill
452Updated 2 days ago
sap-cloud-sdk-ai-python
by Eduard Jiglau
Integrates the SAP Cloud SDK for AI for Python (sap-ai-sdk-gen, formerly generative-ai-hub-sdk) into Python applications. Use when building Python apps with SAP AI Core, Generative AI Hub, or the Orchestration Service: chat completion, embeddings, streaming, LangChain integration, templating, content filtering, data masking, and document grounding. Supports OpenAI GPT models, Llama, Gemini, Amazon Nova, and other foundation models via SAP BTP.
CodexClaude Code1 Skill
452Updated 2 days ago
agentspec
by Luan Moreno
Spec-Driven Development framework for Data Engineering — 58 agents, 24 KB domains, 5-phase SDD workflow, 31 commands
Claude Code16 Skills
246Updated 6 days ago
data-streaming-engineering
by Matt Corbett
Data-streaming-engineering team — agents (streaming-architect, kafka-pipeline-engineer, stream-processing-engineer) for REAL-TIME data: streaming-vs-batch decision and topology, event streaming + CDC (Kafka/Pulsar/Kinesis, topics/partitioning, schema registry + evolution, the outbox/Debezium CDC pattern), delivery semantics (at-least-once vs exactly-once, idempotency, transactional outbox), and stream processing (Flink/Kafka-Streams: event-time vs processing-time, windowing, watermarks, state, joins, backpressure). skills, a decision-tree knowledge bank (streaming-vs-batch + delivery-semantics trees + a dated 2026 map), best-practices, templates, commands, an advisory hook. Distinct from data-platform (batch ELT) and microsoft-fabric (RTI/Eventstream). Seams: batch ELT -> data-platform, AsyncAPI contracts -> api-engineering, Fabric RTI -> microsoft-fabric, app-side messaging -> backend-engineering. Requires ravenclaude-core@>=0.7.0.
Claude Code7 Skills
7Updated last week