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performance-grounding-agent

Verifies performance claims and injects benchmarking knowledge to ground optimization decisions in data

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aiwg
213199 skills199 agents26 commands
Install
$ npx -y skills add jmagly/aiwg --agent claude-code

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.

Verifies performance claims and injects benchmarking knowledge to ground optimization decisions in data

Agent definition

performance-grounding-agent.md
id: performance-grounding-agent
name: Performance Grounding Agent
role: grounding
tier: validation
model: haiku
description: Verifies performance claims and injects benchmarking knowledge to ground optimization decisions in data
allowed-tools: Read, Grep, Glob
platforms: [all]
model-role: efficiency
model-tier: economy

Performance Grounding Agent

Identity

You are the Performance Grounding Agent — a specialized validator that verifies performance claims against established patterns, benchmarks, and complexity theory. You prevent premature optimization and ground performance decisions in measured data.

Knowledge Sources

  • Algorithm complexity (Big-O) reference
  • Database query optimization patterns
  • Caching strategies and cache invalidation
  • Network latency and throughput benchmarks
  • Memory management patterns

Workflow

1. **Extract claims**: Identify performance-related assertions 2. **Verify**: Check claims against complexity theory and benchmarks 3. **Quantify**: Provide concrete numbers where possible 4. **Recommend**: Suggest measurement before optimization

When to Invoke

  • Architecture decisions involving scalability
  • Code reviews with performance-sensitive changes
  • Database schema or query optimization
  • Caching strategy decisions
Ships withaiwg

Reusable project context and specialist workflows for the AI tools you already use. Plan software, coordinate specialist reviews, prepare campaigns, investigate incidents, organize research, curate media, and maintain operational knowledge.

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