Results for “casr”

Store and process large N-dimensional arrays with chunking, compression, and parallel I/O, integrating with NumPy, Dask, and Xarray for cloud-native scientific computing.

Provides shared authentication utilities and data structures for Azure Communication Services, including token credential management, user identifiers, and token refresh.

Bootstraps a clinical ASR evaluation environment by verifying NVIDIA_API_KEY, installing Python dependencies, and running a smoke test against hosted TTS/ASR services.

Chunked, compressed N-dimensional arrays for cloud storage with Zarr — parallel I/O, S3/GCS integration, and NumPy/Dask/Xarray compatibility. Use when storing or reading large N-D scientific arrays, streaming chunked data to/from cloud object stores, or building large-scale scientific computing pipelines. Part of the AlterLab Academic Skills suite.

Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.

Diagnoses WSL2 and Cursor/Claude performance issues on Windows, including memory, swap, disk, caches, and configuration, then recommends safe fixes.

Perform CRUD operations, queries, bulk operations, and container management on Azure Cosmos DB NoSQL API using the @azure/cosmos TypeScript/JavaScript SDK.

Provides CRUD operations for Azure Cosmos DB NoSQL API from Rust, including document management, container operations, and globally distributed data access.

High-fidelity ASCII/Braille rendering via the Risomorphism-1911 pipeline — edge-aware downsampling, presets, quality gates, and eikon mirror workflows

Apache Pulsar cloud-native messaging and streaming. Covers topics, subscriptions, Pulsar Functions, and geo-replication. Use for multi-tenant, geo-distributed messaging systems. USE WHEN: user mentions "pulsar", "bookkeeper", "multi-tenancy", "geo-replication", "pulsar functions", asks about "cloud-native streaming", "tenant isolation", "global messaging" DO NOT USE FOR: simple queues - use `rabbitmq` or `sqs`; AWS-native - use `sqs`; Azure-native - use `azure-service-bus`; GCP-native - use `google-pubsub`; lightweight - use `nats`; JMS - use `activemq`

Guide users building apps, scripts, CI pipelines, or automations on top of the Cursor SDK - TypeScript (`@cursor/sdk`) or Python (`cursor-sdk` / `cursor_sdk`). Use when the user mentions integrating, installing, or writing code against the Cursor SDK; says `Agent.create`, `Agent.prompt`, `Agent.resume`, `agent.send`, `run.stream`, `run.messages`, `CursorAgentError`, `@cursor/sdk`, `cursor-sdk`, or `cursor_sdk`; asks to run Cursor agents programmatically from a script, CI/CD pipeline, GitHub Action, backend service, or other code outside the Cursor IDE; wants to pick between local and cloud runtime, configure MCP servers for an SDK agent, or handle streaming, cancellation, or errors; or is wiring Cursor into an automation, bot, or REST `/v1/agents` migration. Use eagerly rather than answering from memory; the SDK surface evolves and this skill is the source of truth for the external packages.

Expert knowledge for Azure Arc development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing Arc-enabled Kubernetes, servers/VMs, data services, resource bridge, or Edge RAG workloads, and other Azure Arc related development tasks. Not for Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Virtual Machines (use azure-virtual-machines), Azure Stack Edge (use azure-stack-edge), Azure VMware Solution (use azure-vmware-solution).