561건 · 관련도순
Use when building RAG or LLM applications with LlamaIndex - data loaders, node parsing, vector stores, retrievers and rerankers, query engines, agents and workflows, streaming, or evaluation
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when building Python async HTTP services or clients with aiohttp - web server routing, middleware, WebSocket, SSE, streaming, client sessions, pytest-aiohttp testing, or troubleshooting SSL and timeout issues
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when building high-performance APIs with django-bolt - routing, JWT auth, msgspec serializers, WebSockets, SSE streaming, file uploads, ORM patterns, runbolt deployment, or migrating from DRF
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Pulp musical/media time primitives, exact beat divisions, tempo and meter maps, transport-range grid projection, inline and order-preserving groove projection, coordinate randomness, streaming cursors, and quantization arithmetic.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when a task needs the judgment of a Data Engineer — designing an idempotent pipeline operation so retries and backfills don't corrupt data, choosing event-time over processing-time partitioning for time-series aggregation, enforcing schema compatibility rules before an upstream change propagates downstream, adding automated data quality checks to a pipeline, or deciding between batch and streaming architecture for a specific freshness requirement.
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Unity level design-to-code translation. Trigger & event architecture, encounter design contracts, checkpoint & respawn, cinematic & scripted sequences, environmental storytelling hooks, level streaming & loading seams. DESIGN INTENT format: INTENT/WRONG/RIGHT/SCAFFOLD/ DESIGN HOOK. Based on Unity 6.3 LTS.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
用于创建或审查 Next.js 14+ App Router 项目、文件路由、layout、服务端/客户端组件边界、SSR/SSG/ISR、streaming、metadata、middleware、server actions 或 Next 特定数据获取。通用客户端 React 组件架构另按项目 React 约定处理；中文触发词包括 Next.js、App Router。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when creating or reviewing Next.js 14+ App Router projects, file routes, layouts, server/client component boundaries, SSR/SSG/ISR, streaming, metadata, middleware, server actions, or Next-specific data fetching. For generic client React component architecture, apply the project's React conventions separately; Chinese triggers include Next.js, App Router.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
OpenUI generative UI with OpenAI SDK backend. Streaming chat completions with gpt-5.5 (or any current OpenAI-compatible model).
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OpenUI generative UI with Rust Axum backend. Async SSE streaming with reqwest and async-stream.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
OpenUI generative UI with Elixir Phoenix backend. Chunked SSE streaming via Plug.Conn and Req.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
OpenUI generative UI with C# ASP.NET Core Minimal API backend. Direct OpenAI API SSE streaming via HttpClient on .NET 10.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
OpenUI generative UI with a Ruby on Rails backend. SSE streaming via ActionController::Live, forwarding the OpenAI API stream with Net::HTTP.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
OpenUI generative UI with Go (net/http) backend. Direct OpenAI API streaming via HTTP.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Develop AI-powered applications using Genkit in Go. Use when the user asks to build AI features, agents, flows, or tools in Go using Genkit, or when working with Genkit Go code involving generation, prompts, streaming, tool calling, or model providers.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Guides the usage of Gemini Interactions API on Gemini Enterprise Agent Platform. Use when the user wants to use the stateful, server-managed Interactions API for multi-turn conversations, background execution, streaming, structured output, and function calling on the Agent Platform.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Guides the usage of Gemini Interactions API on Gemini Enterprise Agent Platform. Use when the user wants to use the stateful, server-managed Interactions API for multi-turn conversations, background execution, streaming, structured output, and function calling on the Agent Platform.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Android device logcat reader for real-time log monitoring. Use when working with pywayne.adb.logcat_reader module to read Android device logs via adb logcat command, supporting both C++ backend (faster) and Python backend (subprocess) with generator-style output for streaming logs.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Blockchain USDC payments via APay — pay services, manage budgets, open streaming channels, and handle x402 protocol.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design asynchronous messaging patterns in Azure using Service Bus, Event Hubs, Event Grid, and Storage Queues. Use this skill when users ask for queueing, pub-sub, event streaming, retries, or decoupled system design. Covers delivery semantics, dead-lettering, idempotency, and monitoring.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when building APIs on Hono (Cloudflare Workers, Bun, Deno, Node), debugging route ordering, wiring middleware, validating with @hono/zod-validator, returning streaming responses, configuring CORS with credentials, handling errors via app.onError, or composing typed RPC clients. Triggers: c.env binding types, c.header + c.redirect interaction, missing await next() bugs, Set-Cookie not attaching to redirect, route-precedence surprises, JWT middleware setup, hono/client typed RPC end-to-end. NOT for Express/Fastify/Koa idioms, tRPC/GraphQL paradigms, or Next.js Route Handlers.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Time-travel debugging for DAG executions. Inspect agent state at any node, replay decisions with modified inputs, compare execution traces side-by-side, and identify where reasoning diverged. Inspired by LangGraph Studio's state-editing model and Temporal's event history. Activate on "debug DAG", "replay execution", "time travel debug", "inspect node state", "what went wrong at step", "compare runs", "execution diff". NOT for live monitoring (use dag-runtime + websocket-streaming), failure analysis (use dag-ops), or general code debugging.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when designing a background-job system, choosing between BullMQ / Sidekiq / RQ / Temporal / SQS, deciding queue-vs-workflow, sizing concurrency vs rate limits, building dead-letter queues, or making handlers idempotent. Triggers: jobs running twice on retry, lost jobs after worker crash, DLQ filling up, Redis OOM from job backlog, exactly-once requested, "do we need Temporal?", visibility timeout / lockDuration confusion, exponential backoff vs jitter, fan-out fan-in workflows. NOT for outbound webhook publishing (different concerns), receiver-side webhook handling (different concerns), event-streaming/Kafka topology, or in-process async (event loop only).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.