throughput plugins

by Claude Code Plugins

Analyze and optimize system throughput. Includes 1 skill.

by Claude Code Plugins

Analyze and optimize system throughput. Includes 1 skill.

by Claude Code Plugins

Analyze and optimize system throughput. Includes 1 skill.

by ScaleVector GmbH

Tune dlt pipeline performance — diagnose the bottleneck stage (extract, normalize, load) and apply the right lever: parallelism, workers, memory buffers, file rotation, and batching.

by Matt Corbett

Manufacturing-operations team for discrete and process manufacturing — agents (production-planner, shop-floor-and-oee-analyst, quality-and-capa-lead) for the plan / make / control loop on the factory floor: MRP/MPS and demand-vs-capacity planning, S&OP, BOM management, lot sizing and finite scheduling (production-planner); OEE (availability x performance x quality), throughput, takt vs cycle time, Theory-of-Constraints bottleneck analysis, and MES/shop-floor downtime data (shop-floor-and-oee-analyst); SPC, nonconformance (NCR) and CAPA, inspection plans, FMEA, supplier quality, and control plans (quality-and-capa-lead). decision-tree bank, best-practices, skills, commands, templates, an advisory hook, a stdlib OEE/takt/capacity calculator, scenarios. Seams: Lean/Six Sigma -> process-improvement; inferential stats / Gage R&R -> applied-statistics; sourcing -> procurement-sourcing; distribution -> fleet-logistics. Requires ravenclaude-core@>=0.7.0.

by Matt Corbett

Performance- and capacity-engineering team — agents (performance-architect, load-testing-engineer, profiling-and-capacity-engineer) for system performance and scalability: performance strategy and budgets, workload modeling, and SLO-linked NFR targets (performance-architect); load/stress/soak/spike testing with k6/Gatling/Locust/JMeter, open- vs closed-model workloads, ramping, think time, and test data (load-testing-engineer); profiling, flame graphs, USE/RED bottleneck triage, capacity and headroom via Little's law, and regression detection (profiling-and-capacity-engineer). Knowledge bank with decision trees, a Little's-law/percentiles capacity calculator, best-practices, skills, commands, templates, an advisory hook, scenarios. Distinct from frontend Core Web Vitals and observability-sre SLOs. Seams: web vitals -> frontend-engineering; SLO -> observability-sre; query tuning -> database-engineering; resilience -> backend-engineering. Requires ravenclaude-core@>=0.7.0.

by Carlos Araujo

Seleciona até 5 candidatos OpenRouter para Model Engineering Eval com inteligência Artificial Analysis >35 via OpenRouter Benchmarks, reasoning controlável e throughput hard >=60 t/s. Não executa Eval nem altera runtime.