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dask
【数据与研究】Scales pandas, NumPy, and custom Python research workflows beyond memory or across clusters with Dask. Covers DataFrames, Arrays, Bags, Futures, chunking, schedulers, and distributed diagnostics. Use for partitioned file processing, scientific array computation, or parallel tasks whose memory and dependency structure require Dask.
pytorch-lightning
【数据与研究】Deep learning framework (PyTorch Lightning / lightning package). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard, MLflow), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.
azure-cosmos-py
【文档与办公】Azure Cosmos DB SDK for Python (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data.
azure-cosmos-rust
【文档与办公】Azure Cosmos DB SDK for Rust (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data.
azure-monitor-opentelemetry-ts
【效率与协作】Auto-instrument Node.js applications with distributed tracing, metrics, and logs.
azure-monitor-opentelemetry-ts
【效率与协作】Auto-instrument Node.js applications with distributed tracing, metrics, and logs.
backend-architect
【设计与创意】Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems.
backend-architect
【设计与创意】Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems.
distribute-skill-to-all-agents
【开发与工程】Distribute a skill across configured agent skill folders while respecting local symlink layouts.
distributed-debugging-debug-trace
【开发与工程】You are a debugging expert specializing in setting up comprehensive debugging environments, distributed tracing, and diagnostic tools. Configure debugging workflows, implement tracing solutions, and establish troubleshooting practices for development and production environments.
distributed-tracing
【效率与协作】Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices.
distributed-tracing
【效率与协作】Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices.
elixir-pro
【开发与工程】Write idiomatic Elixir code with OTP patterns, supervision trees, and Phoenix LiveView. Masters concurrency, fault tolerance, and distributed systems.
error-debugging-error-analysis
【数据与研究】You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observability solutions.
error-diagnostics-error-analysis
【数据与研究】You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observability solutions.
llm-fine-tuning
【效率与协作】Set up infrastructure for fine-tuning LLMs with QLoRA, LoRA, and full fine-tuning using Hugging Face TRL, Axolotl, and distributed training with DeepSpeed or FSDP.
microservices-patterns
【数据与研究】Master microservices architecture patterns including service boundaries, inter-service communication, data management, and resilience patterns for building distributed systems.
microservices-patterns
【数据与研究】Master microservices architecture patterns including service boundaries, inter-service communication, data management, and resilience patterns for building distributed systems.