Results for “streaming”

Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).

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Build real-time streaming applications with Azure Event Hubs SDK for Java. Use when implementing event streaming, high-throughput data ingestion, or building event-driven architectures.

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Build real-time streaming applications with Azure Event Hubs SDK for Java. Use when implementing event streaming, high-throughput data ingestion, or building event-driven architectures.

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Expert data engineer for ETL/ELT pipelines, streaming, data warehousing. Activate on: data pipeline, ETL, ELT, data warehouse, Spark, Kafka, Airflow, dbt, data modeling, star schema, streaming data, batch processing, data quality. NOT for: API design (use api-architect), ML training (use ML skills), dashboards (use design skills).

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Architecture-level decisions for putting a CDN in front of a web app's static assets, API responses, and file/media delivery: provider selection (hyperscaler vs. specialist $/GB), signed-URL / tokenized access for gating private content at the edge, cache invalidation strategy (versioned URLs vs. purge APIs), origin shield / tiered caching for high-miss-rate content, and CDN-layer geo-restriction. Use when deciding which CDN to put in front of a new or growing service, when private/paywalled files need edge delivery without an origin round-trip per request, or when purge/invalidation behavior is being designed rather than debugged. NOT for HTTP cache-control header syntax, Vary, stale-while-revalidate, or surrogate-key purge mechanics (see `cdn-cache-control-headers`); NOT for Cloudflare-specific product configuration once Cloudflare is already chosen (see `cloudflare`); NOT for video-specific transcoding, adaptive bitrate ladders, or streaming-protocol packaging (see `managed-video-streaming-pipeline`).

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Spark, pandas, polars, DuckDB optimization for batch data processing. Activate on: batch processing, Spark optimization, polars, DuckDB, pandas performance, data frame, shuffle, partition, memory optimization. NOT for: streaming pipelines (use streaming-pipeline-architect), warehouse queries (use data-warehouse-optimizer).

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Apache Airflow DAGs, operators, SLA monitoring, and workflow orchestration. Activate on: Airflow, DAG, operator, sensor, scheduler, task dependency, SLA, backfill, XCom. NOT for: dbt transformations (use dbt-analytics-engineer), streaming pipelines (use streaming-pipeline-architect).

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Build real-time streaming applications with Azure Event Hubs SDK for Java. Use when implementing event streaming, high-throughput data ingestion, or building event-driven architectures.

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Process multimedia files with FFmpeg (video/audio encoding, conversion, streaming, filtering, hardware acceleration), ImageMagick (image manipulation, format conversion, batch processing, effects, composition), and RMBG (AI-powered background removal). Use when converting media formats, encoding videos with specific codecs (H.264, H.265, VP9), resizing/cropping images, removing backgrounds from images, extracting audio from video, applying filters and effects, optimizing file sizes, creating streaming manifests (HLS/DASH), generating thumbnails, batch processing images, creating composite images, or implementing media processing pipelines. Supports 100+ formats, hardware acceleration (NVENC, QSV), and complex filtergraphs.

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Build with OpenAI's stateless APIs - Chat Completions (GPT-5, GPT-4o), Embeddings, Images (DALL-E 3), Audio (Whisper + TTS), and Moderation. Includes Node.js SDK and fetch-based approaches for Cloudflare Workers. Use when: implementing chat completions with GPT-5/GPT-4o, streaming responses with SSE, using function calling/tools, creating structured outputs with JSON schemas, generating embeddings for RAG (text-embedding-3-small/large), generating images with DALL-E 3, editing images with GPT-Image-1, transcribing audio with Whisper, synthesizing speech with TTS (11 voices), moderating content (11 safety categories), or troubleshooting rate limits (429), invalid API keys (401), function calling failures, streaming parse errors, embeddings dimension mismatches, or token limit exceeded.

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Implements React Server Components (RSC) patterns with Next.js App Router including data fetching, streaming, selective hydration, and server/client composition. Use when users request "server components", "RSC", "Next.js app router", "server-side rendering", or "streaming".

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Diagnose OpenClaw problems involving models, providers, tools, and streamed responses. Use targeted logs, repeat the failing operation, and inspect stored conversations and attachments to identify the cause, guide a repair, and verify the result.

• Investigating differences between local tests and live runs
• Checking which tools are actually visible to a model
• Diagnosing delayed or stalled streamed responses

Test the delivery order of Telegram drafts and final messages in OpenClaw's QA Lab. Run the same test scenario through QA Channel or the real Telegram plugin to collect evidence about streaming and message delivery.

• Checking the delivery order of Telegram drafts and final messages
• Running message flow tests through QA Channel
• Testing the same scenario with the real Telegram plugin

Use the VideoDB Python SDK to search video by speech or visual content and create playable clips with timestamps. Add subtitles and audio, change aspect ratios, and configure alerts for live video or desktop sessions.

• Find spoken topics or visual scenes and create clips
• Add subtitles, background music, or dubbing
• Change video resolution and aspect ratio

Measure and improve delays in realtime dashboards, data feeds, queues, and caches. Track response times, data age, and waiting work separately, then verify that changes improve the actual behavior of a deployed system.

• Investigating delays in realtime dashboards
• Checking whether streamed data is still fresh
• Reducing queue backlogs

Add on-device language model features to iOS 26+ apps with Apple's FoundationModels framework. Covers text generation, summarization, extracting data into Swift types, calling custom app functions, and progressively updating screens as responses are generated.

• Adding offline text generation and summarization
• Extracting structured data from user input
• Connecting AI responses to custom app functions

Check deployed URLs after releases for page and API failures, broken assets, streaming connection issues, and slower performance. Run a single check, monitor over a set period, or compare staging and production with baseline reports.

• Checking production or staging after deployment
• Verifying fixes after merges or dependency upgrades
• Monitoring a site during its launch window

Extract information from text into defined fields, then check types and values with Pydantic, a Python data validation library. The skill covers structured LLM responses, automatic retries after validation failures, and streaming results as they are generated.

• Extracting contact or company details from text
• Classifying articles into predefined categories
• Organizing review analysis into consistent fields

Helps you integrate hosted browser automation through Browser Use Cloud APIs and Python or TypeScript SDKs. Reference guides cover authentication, sessions, saved browser profiles, live views, and connections to existing agents or workflow services.

• Add cloud browser tasks to an app
• Give an existing agent browser access
• Manage login sessions and browser profiles

Summarize a Paperclip project or workspace in plain language, starting with up to three concrete actions needed to unblock work. Review issues and comments, then save a concise Markdown update to its summary slot.

• Identify decisions or approvals blocking work
• Refresh a project's summary card
• Summarize activity across workspaces

Connect agent tasks into a sequence where each step receives the previous output. Use custom prompts or predefined workflows to analyze code, plan refactoring, generate tests, optimize performance, or transform data through multiple stages.

• Turn code analysis into an improvement plan
• Prioritize and refactor existing code
• Find test gaps and generate unit tests

Set up RuView sensing nodes by building and flashing ESP32 firmware, configuring WiFi and the receiving address, and checking serial logs. Diagnose missing CSI streams, the WiFi signal measurements sent by sensing nodes.

• Setting up a new RuView sensing node
• Reflashing firmware for an 8 MB or 4 MB ESP32-S3
• Configuring WiFi and the receiving server

Send prompts to LLMs from a terminal, display answers as they arrive, or hold an ongoing conversation. Use files or standard input for prompts, choose models, and set system instructions through OmniRoute.

• Sending a prompt from a terminal
• Using file contents as a prompt
• Displaying and saving streaming responses

Apply a mastering pass to an already generated track, adjusting perceived loudness and limiting audio peaks. See before-and-after loudness measurements, then access the mastered audio through the dashboard.

• Adjusting a generated track for streaming
• Comparing loudness before and after mastering
• Limiting peaks in an existing production