qe-performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Best use case
qe-performance-analysis is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Teams using qe-performance-analysis should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/qe-performance-analysis/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How qe-performance-analysis Compares
| Feature / Agent | qe-performance-analysis | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# qe-performance-analysis Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms **Tags:** performance, bottleneck, optimization, profiling, metrics, analysis, qe, quality-engineering, monitoring ## Prerequisites This skill requires the AQE MCP server. Ensure it is configured in `.kiro/settings/mcp.json`. ## Steps ### 1. Overview This skill consolidates all performance analysis capabilities: - **Bottleneck Detection**: Identify performance bottlenecks across communication, processing, memory, and network - **Performance Profiling**: Real-time monitoring and historical analysis of swarm operations - **Report Generation**: Cre ### 2. Basic Bottleneck Detection Basic Bottleneck Detection ### 3. Generate Performance Report Generate Performance Report ### 4. Analyze And Auto Fix Analyze and Auto-Fix ### 5. Core Capabilities Core Capabilities ### 6. Bottleneck Detection 1. Bottleneck Detection ### 7. Performance Profiling 2. Performance Profiling ### 8. Report Generation 3. Report Generation ## MCP Tools Use AQE tools via the `@agentic-qe` MCP server: - `@agentic-qe/fleet_init` — Initialize the QE fleet - `@agentic-qe/test_generate_enhanced` — Generate tests - `@agentic-qe/coverage_analyze_sublinear` — Analyze coverage - `@agentic-qe/quality_assess` — Assess quality gates - `@agentic-qe/memory_store` — Store learned patterns - `@agentic-qe/memory_query` — Query past patterns
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