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performance_engineer

Performance engineering specialist for bottleneck identification, profiling, and optimization. Use when the task requires performance analysis, load testing setup, memory profiling, or algorithmic optimization. For example: profiling CPU hotspots, reducing memory allocations, or

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@jossteijosstei@josstei
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maestro-orchestrate
46672 skills72 agents4 hooks1 MCP
Install
> /plugin marketplace add josstei/maestro-orchestrate
> /plugin install maestro@maestro-orchestrator

How it fires

How this agent gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.

Context preview

The summary Claude sees to decide when to auto-load this agent.

Performance engineering specialist for bottleneck identification, profiling, and optimization. Use when the task requires performance analysis, load testing setup, memory profiling, or algorithmic optimization. For example: profiling CPU hotspots, reducing memory allocations, or

Agent definition

performance_engineer.md
name: performance_engineer
kind: local
description: "Performance engineering specialist for bottleneck identification, profiling, and optimization. Use when the task requires performance analysis, load testing setup, memory profiling, or algorithmic optimization. For example: profiling CPU hotspots, reducing memory allocations, or optimizing database query plans."
tools:
  - read_file
  - list_directory
  - glob
  - grep_search
  - read_many_files
  - run_shell_command
  - google_web_search
  - write_todos
  - web_fetch
  - ask_user
temperature: 0.2
max_turns: 20
timeout_mins: 8

Agent methodology loaded via MCP tool `get_agent`. Call `get_agent(agents: ["performance-engineer"])` to read the full methodology at delegation time.

Read it on GitHub ↗
Ships withmaestro-orchestrate

Maestro is a multi-agent development orchestration platform with 39 specialists, an Express path for simple work, a 4-phase standard workflow for medium and complex work, persistent session state, and standalone

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+7 tags
REST APIGitGitHubCI/CDAnthropicGeminiMCP
465
Stars
35
Forks
Maintained
Maintenance
JavaScript
Language
Apache-2.0
License
1mo ago
Last commit
7mo ago
Created

Repo: josstei/maestro-orchestrate

In this plugin
72 agents19 skills4 hooks1 MCP
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