القائمة
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill qe-performance-analysisيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Ruflo is a multi-agent orchestration platform for AI coding agents (Claude Code, Cursor, Codex, Copilot, Gemini, Amp, +12 more). Use this skill when the user wants to (1) install/init ruflo in a project, (2) run multi-agent swarms with hierarchical coordination, (3) use ruflo's 314+ MCP tools for memory, routing, hooks, sub-agents, or workflows, (4) check ruflo status/version/doctor health, or (5) discover which of ruflo's 30+ plugins fits their task.
Build dependency-aware execution plans for complex Agentic QE, Ruflo, integration, migration, or multi-stream engineering programs. Use when Codex must turn research or requirements into phased work, select a small AQE fleet, map critical paths and parallel streams, define acceptance gates, or sequence risky changes. Use aqe-plan-quality instead when the primary output is only a test or quality plan.
Conduct evidence-first technical research for Agentic QE, Ruflo, related ruvnet projects, or external tools. Use when Codex must investigate a repository, compare current upstream changes, trace dependencies and history, distinguish verified facts from inference, or synthesize findings into actionable engineering recommendations. Do not use for a simple known-answer lookup or an implementation-only task.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| inclusion | auto |
| name | qe-performance-analysis |
| description | Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms |
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Tags: performance, bottleneck, optimization, profiling, metrics, analysis, qe, quality-engineering, monitoring
This skill requires the AQE MCP server. Ensure it is configured in .kiro/settings/mcp.json.
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
Basic Bottleneck Detection
Generate Performance Report
Analyze and Auto-Fix
Core Capabilities
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