# When Analyzing Performance Use Performance Analysis > When Analyzing Performance Use Performance Analysis - Skill: `dnyoussef/when-analyzing-performance-use-performance-analysis` (Agent Skill, multi-file: 5 files) - Install (CLI): `npx skillmds@latest add dnyoussef/when-analyzing-performance-use-performance-analysis` - Raw SKILL.md: https://api.skillmd.com/api/skills/dnyoussef/when-analyzing-performance-use-performance-analysis/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: DNYoussef (https://skillmd.com/u/dnyoussef) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/dnyoussef/when-analyzing-performance-use-performance-analysis --- /*============================================================================*/ /* WHEN-ANALYZING-PERFORMANCE-USE-PERFORMANCE-ANALYSIS SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/ --- name: when-analyzing-performance-use-performance-analysis version: 1.0.0 description: | [assert|neutral] Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms [ground:given] [conf:0.95] [state:confirmed] category: performance tags: - performance - analysis - bottleneck - optimization - profiling author: system cognitive_frame: primary: evidential goal_analysis: first_order: "Execute when-analyzing-performance-use-performance-analysis workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic performance processes" --- /*----------------------------------------------------------------------------*/ /* S0 META-IDENTITY */ /*----------------------------------------------------------------------------*/ [define|neutral] SKILL := { name: "when-analyzing-performance-use-performance-analysis", category: "performance", version: "1.0.0", layer: L1 } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S1 COGNITIVE FRAME */ /*----------------------------------------------------------------------------*/ [define|neutral] COGNITIVE_FRAME := { frame: "Evidential", source: "Turkish", force: "How do you know?" } [ground:cognitive-science] [conf:0.92] [state:confirmed] ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. /*----------------------------------------------------------------------------*/ /* S2 TRIGGER CONDITIONS */ /*----------------------------------------------------------------------------*/ [define|neutral] TRIGGER_POSITIVE := { keywords: ["when-analyzing-performance-use-performance-analysis", "performance", "workflow"], context: "user needs when-analyzing-performance-use-performance-analysis capability" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S3 CORE CONTENT */ /*----------------------------------------------------------------------------*/ # Performance Analysis SOP ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. ## Overview Comprehensive performance analysis for Claude Flow swarms including bottleneck detection, profiling, benchmarking, and actionable optimization recommendations. ## Agents & Responsibilities ### performance-analyzer **Role:** Analyze system performance and identify issues **Responsibilities:** - Collect performance metrics - Analyze resource utilization - Identify bottlenecks - Generate analysis reports ### performance-benchmarker **Role:** Run performance benchmarks and comparisons **Responsibilities:** - Execute benchmark suites - Compare performance across configurations - Establish performance baselines - Validate improvements ### perf-analyzer **Role:** Deep performance profiling and optimization **Responsibilities:** - Profile code execution - Analyze memory usage - Optimize critical paths - Recommend improvements ## Phase 1: Establish Baseline ### Objective Measure current performance and establish baseline metrics. ### Scripts ```bash # Collect baseline metrics npx claude-flow@alpha performance baseline \ --duration 300 \ --interval 5 \ --output baseline-metrics.json # Run benchmark suite npx claude-flow@alpha benchmark run \ --type swarm \ --iterations 10 \ --output benchmark-results.json # Profile system resources npx claude-flow@alpha performance profile \ --include-cpu \ --include-memory \ --include-network \ --output resource-profile.json # Collect agent metrics npx claude-flow@alpha agent metrics --all --format json > agent-metrics.json # Store baseline npx claude-flow@alpha memory store \ --key "performance/baseline" \ --file baseline-metrics.json # Generate baseline report npx claude-flow@alpha performance report \ --type baseline \ --metrics baseline-metrics.json \ --output baseline-report.md ``` ### Key Baseline Metrics **Swarm-Level:** - Total throughput (tasks/min) - Average latency (ms) - Resource utilization (%) - Error rate (%) - Coordination overhead (ms) **Agent-Level:** - Task completion rate - Response time (ms) - CPU usage (%) - Memory usage (MB) - Idle time (%) **System-Level:** - Total CPU usage (%) - Total memory usage (MB) - Network bandwidth (MB/s) - Disk I/O (MB/s) ### Memory Patterns ```bash # Store performance baseline npx claude-flow@alpha memory store \ --key "performance/baseline/timestamp" \ --value "$(date -Iseconds)" npx claude-flow@alpha memory store \ --key "performance/baseline/metrics" \ --value '{ "throughput": 145.2, "latency": 38.5, "utilization": 0.78, "errorRate": 0.012, "timestamp": "'$(date -Iseconds)'" }' ``` ## Phase 2: Profile System ### Objective Deep profiling of system components to identify performance characteristics. ### Scripts ```bash # Profile swarm execution npx claude-flow@alpha performance profile-swarm \ --duration 300 \ --sample-rate 100 \ --output swarm-profile.json # Profile individual agents for AGENT in $(npx claude-flow@alpha agent list --format json | jq -r '.[].id'); do npx claude-flow@alpha performance profile-agent \ --agent-id "$AGENT" \ --duration 60 \ --output "profiles/agent-$AGENT.json" done # Profile memory usage npx claude-flow@alpha memory profile \ --show-hotspots \ --show-leaks \ --output memory-profile.json # Profile network communication npx claude-flow@alpha performance profile-network \ --show-latency \ --show-bandwidth \ --output network-profile.json # Generate flamegraph npx claude-flow@alpha performance flamegraph \ --input swarm-profile.json \ --output flamegraph.svg # Analyze CPU hotspots npx claude-flow@alpha performance hotspots \ --type cpu \ --threshold 5 \ --output cpu-hotspots.json ``` ### Profiling Analysis ```bash # Identify slow functions SLOW_FUNCTIONS=$(jq '[.profile[] | select(.time > 100)]' swarm-profile.json) # Identify memory hogs MEMORY_HOGS=$(jq '[.memory[] | sele /*----------------------------------------------------------------------------*/ /* S4 SUCCESS CRITERIA */ /*----------------------------------------------------------------------------*/ [define|neutral] SUCCESS_CRITERIA := { primary: "Skill execution completes successfully", quality: "Output meets quality thresholds", verification: "Results validated against requirements" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S5 MCP INTEGRATION */ /*----------------------------------------------------------------------------*/ [define|neutral] MCP_INTEGRATION := { memory_mcp: "Store execution results and patterns", tools: ["mcp__memory-mcp__memory_store", "mcp__memory-mcp__vector_search"] } [ground:witnessed:mcp-config] [conf:0.95] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S6 MEMORY NAMESPACE */ /*----------------------------------------------------------------------------*/ [define|neutral] MEMORY_NAMESPACE := { pattern: "skills/performance/when-analyzing-performance-use-performance-analysis/{project}/{timestamp}", store: ["executions", "decisions", "patterns"], retrieve: ["similar_tasks", "proven_patterns"] } [ground:system-policy] [conf:1.0] [state:confirmed] [define|neutral] MEMORY_TAGGING := { WHO: "when-analyzing-performance-use-performance-analysis-{session_id}", WHEN: "ISO8601_timestamp", PROJECT: "{project_name}", WHY: "skill-execution" } [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S7 SKILL COMPLETION VERIFICATION */ /*----------------------------------------------------------------------------*/ [direct|emphatic] COMPLETION_CHECKLIST := { agent_spawning: "Spawn agents via Task()", registry_validation: "Use registry agents only", todowrite_called: "Track progress with TodoWrite", work_delegation: "Delegate to specialized agents" } [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S8 ABSOLUTE RULES */ /*----------------------------------------------------------------------------*/ [direct|emphatic] RULE_NO_UNICODE := forall(output): NOT(unicode_outside_ascii) [ground:windows-compatibility] [conf:1.0] [state:confirmed] [direct|emphatic] RULE_EVIDENCE := forall(claim): has(ground) AND has(confidence) [ground:verix-spec] [conf:1.0] [state:confirmed] [direct|emphatic] RULE_REGISTRY := forall(agent): agent IN AGENT_REGISTRY [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* PROMISE */ /*----------------------------------------------------------------------------*/ [commit|confident] WHEN_ANALYZING_PERFORMANCE_USE_PERFORMANCE_ANALYSIS_VERILINGUA_VERIX_COMPLIANT [ground:self-validation] [conf:0.99] [state:confirmed]