8 boosters for "distributed" — open source, verified from GitHub, ready to install
Heuristic scoring (no AI key configured).
Ray is an expert booster for Apache Ray distributed computing that helps developers convert Python code to Ray workloads, debug applications, and optimize performance across Ray's ecosystem (Core, Data, Train, Serve, Tune). Ideal for ML engineers and Python developers scaling computations from single machines to clusters.
Analyze, review, and provide recommendations for distributed system designs. Use when: (1) Reviewing existing system architectures for gaps or improvements, (2) Analyzing system designs for scalability, reliability, or performance issues, (3) Providing recommendations on load balancing, caching, databases, sharding, replication, messaging, rate limiting, authentication, resilience, or monitoring, (4) Assessing trade-offs in system design decisions, (5) Creating system design review documents with gaps and recommendations. Triggers: "review my system design", "analyze this architecture", "what are the gaps", "system design recommendations", "scalability review", "reliability analysis".
A Windsurf prompt enforcing strict rules against creating task-tracking files, redirecting developers to use GitHub Issues instead for state management. Useful for teams wanting to maintain clean repositories and centralized issue tracking.
webledgers maps URIs to balances in distributed ledger systems using JSON-LD, enabling cross-platform value tracking and web-based ledger management. Developers working with blockchain, DIDs, or multi-platform accounting systems would benefit from this tool.
scala-pro is an expert Scala development agent for building enterprise-grade systems using functional programming, distributed computing frameworks like Akka/Pekko/Spark, and reactive architectures. It's ideal for senior developers architecting scalable backend systems or optimizing complex distributed applications.
A production-grade specialist for designing and implementing multi-agent systems with orchestration, coordination, and workflow management. Ideal for developers building complex distributed agent architectures.
Orchestrates multi-agent systems with distributed consensus, fault tolerance, and emergent behavior patterns. Ideal for developers building collaborative AI systems, decentralized applications, and complex distributed coordination workflows.
