Community Plugin

aeo-performance

Performance engineering toolkit with agents for profiling, bottleneck identification, optimization planning, and monitoring setup. Requires companion plugins: aeo-architecture

0.3.0

Updated 23 days ago

AI Insight

Performance engineering toolkit offering agents for profiling, identifying bottlenecks, creating optimization plans, and setting up monitoring systems.

Why this plugin

Provides a specialized, integrated performance workflow within the Claude ecosystem. Solves the problem of fragmented performance analysis by bundling profiling, diagnosis, and planning agents, requiring the companion architecture plugin for full context.

Prerequisites

Requires the companion plugin 'aeo-architecture' to be installed. No external API keys mentioned.

performance

optimization

monitoring

Install

Add the repository(one-time)

/plugin marketplace add aeyeops/aeo-skill-marketplace

Install the plugin

/plugin install aeo-performance@aeo-skill-marketplace

Components

Commands

analyze-performance

/analyze-performance

inherits

Deep performance analysis with extended thinking and parallel optimization

Agents

optimization-engineer

/optimization-engineer

sonnet

5 tools

Use this agent when implementing specific performance improvements based on profiling data. Examples: 'optimize this database query', 'improve algorithm efficiency'

performance-optimizer

/performance-optimizer

opus

6 tools

Use this agent when running end-to-end performance improvement initiatives. Examples: 'profile and optimize the API', 'find and fix performance bottlenecks'

performance-profiler

/performance-profiler

sonnet

5 tools

Use this agent when investigating system slowdowns or establishing performance baselines. Examples: 'profile the application', 'identify the bottleneck'

Skills

optimization-patterns

inherits

Caching strategies, database optimization, algorithmic complexity, and when NOT to optimize. Activate when: optimizing performance, implementing caching, fixing N+1 queries, improving database queries, reducing latency, choosing data structures, deciding whether to optimize.

profiling-guide

inherits

Performance profiling methodologies, interpreting profiler output, and benchmarking techniques. Activate when: profiling application performance, reading flame graphs, benchmarking code, identifying bottlenecks, measuring CPU usage, analyzing memory allocation, I/O profiling.

Hooks

Review workflow modifications before installing

2 hooks across 1 event

Stats

Stars0

MaintenanceGood

Last Commit23 days ago

Community Promotion

Collections

Links

View on GitHub

View README

Plugin Marketplace JSON

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