Search Results for "Distributed" | AgentCC

spark-engineer

Use when building Apache Spark applications, distributed data processing pipelines, or optimizing big data workloads. Invoke for DataFrame API, Spark SQL, RDD operations, performance tuning, streaming analytics.

azure-observability

Azure Observability Services including Azure Monitor, Application Insights, Log Analytics, Alerts, and Workbooks. Provides metrics, APM, distributed tracing, KQL queries, and interactive reports.

azure-cosmos-py

Azure Cosmos DB SDK for Python (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data. Triggers: "cosmos db", "CosmosClient", "container", "document", "NoSQL", "partition key".

azure-cosmos-rust

Azure Cosmos DB SDK for Rust (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data. Triggers: "cosmos db rust", "CosmosClient rust", "container", "document rust", "NoSQL rust", "partition key".

azure-monitor-opentelemetry-ts

Instrument applications with Azure Monitor and OpenTelemetry for JavaScript (@azure/monitor-opentelemetry). Use when adding distributed tracing, metrics, and logs to Node.js applications with Application Insights.

sentry-performance-tracing

Jeremylongshore Claude Code Plugins Plus Skills Sentry Performance Tracing

Execute set up performance monitoring and distributed tracing with Sentry. Use when implementing performance tracking, tracing requests, or monitoring application performance. Trigger with phrases like "sentry performance", "sentry tracing", "sentry APM", "monitor performance sentry".

setting-up-distributed-tracing

Jeremylongshore Claude Code Plugins Plus Skills Distributed Tracing Setup

This skill automates the setup of distributed tracing for microservices. It helps developers implement end-to-end request visibility by configuring context propagation, span creation, trace collection, and analysis. Use this skill when the user requests to set up distributed tracing, implement observability, or troubleshoot performance issues in a microservices architecture. The skill is triggered by phrases such as 'setup tracing', 'implement distributed tracing', 'configure opentelemetry', or 'add observability to microservices'.

distributed-training-setup

Jeremylongshore Claude Code Plugins Plus Skills Distributed Training Setup

Configure distributed training setup operations. Auto-activating skill for ML Training. Triggers on: distributed training setup, distributed training setup Part of the ML Training skill category. Use when working with distributed training setup functionality. Trigger with phrases like "distributed training setup", "distributed setup", "distributed".

moai-lang-scala

Scala 3.4+ development specialist covering Akka, Cats Effect, ZIO, and Spark patterns. Use when building distributed systems, big data pipelines, or functional programming applications.

moai-lang-elixir

Elixir 1.17+ development specialist covering Phoenix 1.7, LiveView, Ecto, and OTP patterns. Use when developing real-time applications, distributed systems, or Phoenix projects.

file-uploads

Production-grade secure file upload pipeline with multi-stage validation, malware scanning (ClamAV), hash-based duplicate detection, and race condition protection using distributed locks.

checkpoint-resume

Exactly-once processing semantics with distributed coordination for file-based data pipelines. Atomic file claiming, status tracking, and automatic retry with in-memory fallback.

distributed-lock

Prevent race conditions across multiple instances. Only one instance can hold a lock at a time. Automatic expiration prevents deadlocks.

circuit-breaker

Implement the circuit breaker pattern to prevent cascade failures in distributed systems. Use when adding resilience to API clients, external service calls, or any operation that can fail and should fail fast.

queue

Joelhooks Swarm Tools Queue

Guide for job queue patterns in multi-agent coordination. Use when deciding between background jobs vs inline execution, submitting long-running tasks, monitoring job progress, and handling failures. Covers when to queue, job priority, retry strategies, and monitoring patterns.

queuebackground-jobsdistributed-work+2

api-design

Design stable, compatible public APIs using extend-only design principles. Manage API compatibility, wire compatibility, and versioning for NuGet packages and distributed systems.

aspire-integration-testing

Write integration tests using .NET Aspire's testing facilities with xUnit. Covers test fixtures, distributed application setup, endpoint discovery, and patterns for testing ASP.NET Core apps with real dependencies.

milvus-integration

Milvus distributed vector database configuration for large-scale RAG applications

ray-distributed-trainer

Distributed computing skill using Ray for parallel training, hyperparameter search, and resource management.

tla-plus-generator

Generate and analyze TLA+ specifications for distributed systems verification

tensorflow-trainer

TensorFlow/Keras model training skill with callbacks, distributed strategies, and TensorBoard integration.

opentelemetry-llm

OpenTelemetry instrumentation for LLM applications with distributed tracing

distributed-caching

Expert skill for distributed cache design, implementation, and optimization using Redis and Memcached. Design cache architectures, configure eviction policies, implement caching patterns (cache-aside, write-through, write-behind), monitor cache performance, and optimize memory usage.

tracing-schema-generator

Generate distributed tracing schemas for OpenTelemetry with Jaeger/Zipkin integration

distributed-task-orchestrator

Shuyu Labs Webcode Distributed Task Orchestrator

Decompose complex tasks into parallel sub-agents. Use for multi-step operations, batch processing, or when user mentions "parallel", "agents", or "orchestrate".

performance-engineer

Expert performance engineer specializing in modern observability, application optimization, and scalable system performance. Masters OpenTelemetry, distributed tracing, load testing, multi-tier caching, Core Web Vitals, and performance monitoring.

building-team-culture

Help users build and maintain strong team culture. Use when someone is defining team values, creating psychological safety, onboarding to a new team, navigating cultural change, or building distributed team norms.

debugging-techniques

Debugging workflows for Python (pdb, debugpy), Go (delve), Rust (lldb), and Node.js, including container debugging (kubectl debug, ephemeral containers) and production-safe debugging techniques with distributed tracing and correlation IDs. Use when setting breakpoints, debugging containers/pods, remote debugging, or production debugging.

designing-distributed-systems

When designing distributed systems for scalability, reliability, and consistency. Covers CAP/PACELC theorems, consistency models (strong, eventual, causal), replication patterns (leader-follower, multi-leader, leaderless), partitioning strategies (hash, range, geographic), transaction patterns (saga, event sourcing, CQRS), resilience patterns (circuit breaker, bulkhead), service discovery, and caching strategies for building fault-tolerant distributed architectures.

Spring Boot Scheduling

HoangNguyen0403

Standards for scheduled tasks and distributed locking with ShedLock

AgentDB Advanced Features

proffesor-for-testing

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

flow-nexus-neural

proffesor-for-testing

Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus

neural-networksdistributed-trainingmachine-learning+3

Swarm Orchestration

proffesor-for-testing

Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.

contract-testing

proffesor-for-testing

Consumer-driven contract testing for microservices using Pact, schema validation, API versioning, and backward compatibility testing. Use when testing API contracts or coordinating distributed teams.

contractpactconsumer-driven+3

swarm-advanced

proffesor-for-testing

Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows

swarmdistributedparallel+4

chaos-engineering-resilience

proffesor-for-testing

Chaos engineering principles, controlled failure injection, resilience testing, and system recovery validation. Use when testing distributed systems, building confidence in fault tolerance, or validating disaster recovery.

chaosresiliencefault-injection+3

qe-chaos-engineering-resilience

proffesor-for-testing

Chaos engineering principles, controlled failure injection, resilience testing, and system recovery validation. Use when testing distributed systems, building confidence in fault tolerance, or validating disaster recovery.

chaosresiliencefault-injection+3

observability-design

Monitoring strategies, distributed tracing, SLI/SLO design, and alerting patterns. Use when designing monitoring infrastructure, defining service level objectives, implementing distributed tracing, creating alert rules, building dashboards, or establishing incident response procedures. Covers the three pillars of observability and production readiness.

observability-monitoring

Structured logging, metrics, distributed tracing, and alerting strategies

swarm-orchestration

Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.

agentdb-advanced-features

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

when-training-neural-networks-use-flow-nexus-neural

This SOP provides a systematic workflow for training and deploying neural networks using Flow Nexus platform with distributed E2B sandboxes. It covers architecture selection, distributed training, ...

advanced-agentdb-vector-search-implementation

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, and hybrid search for distributed AI systems.

building-with-dapr

Use when building distributed microservices with Dapr sidecar architecture. Triggers include Dapr components, service invocation, state management, pub/sub, secrets, bindings, configuration, actors, and workflows. NOT for direct infrastructure clients (use building-with-kafka-strimzi instead).

azure-observability

Azure Observability Services including Azure Monitor, Application Insights, Log Analytics, Alerts, and Workbooks. Provides metrics, APM, distributed tracing, KQL queries, and interactive reports.

net-observability

Implement observability patterns with OpenTelemetry, structured logging, and distributed tracing

microservices-patterns

Design microservices architectures with service boundaries, event-driven communication, and resilience patterns. Use when building distributed systems, decomposing monoliths, or implementing microservices.

workflow-orchestration-patterns

Design durable workflows with Temporal for distributed systems. Covers workflow vs activity separation, saga patterns, state management, and determinism constraints. Use when building long-running processes, distributed transactions, or microservice orchestration.