Performance engineering toolkit with agents for profiling, bottleneck identification, optimization planning, and monitoring setup
Plugin aeo-performance from marketplace aeo-skill-marketplace in AeyeOps/aeo-skill-marketplace. Commands read from the repo's manifest — 4 days ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
optimization-patternsUse when optimizing performance, implementing caching, fixing N+1 queries, improving database queries, adding indexes, reducing latency, choosing a data structure, deciding whether to optimize at all, or reviewing code for performance anti-patterns. Covers caching strategies and the cache hierarchy,
profiling-guideUse when profiling application performance, reading a flame graph, benchmarking code, identifying bottlenecks, measuring CPU usage, analyzing memory allocation, or profiling I/O and database queries. Covers profiling methodology, cProfile and how to interpret its output, py-spy sampling, line-level
/aeo-performance:analyze-performanceDeep performance analysis with extended thinking and parallel optimization
optimization-engineerUse this agent when implementing specific performance improvements based on profiling data. Examples: 'optimize this database query', 'improve algorithm efficiency'
performance-optimizerUse this agent when running end-to-end performance improvement initiatives. Examples: 'profile and optimize the API', 'find and fix performance bottlenecks'
performance-profilerUse this agent when investigating system slowdowns or establishing performance baselines. Examples: 'profile the application', 'identify the bottleneck'
python3 ${CLAUDE_PLUGIN_ROOT}/hooks/performance_logger.py || true
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