performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Install with Tessl CLI
npx tessl i github:ruvnet/agentic-flow --skill performance-analysis54
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Evaluation results
100%
77%Automate Performance Checks in a Deployment Pipeline
CI/CD performance integration
Bottleneck detect command
0%
100%
Production threshold
0%
100%
Export flag usage
0%
100%
Performance report command
0%
100%
JSON format for CI/CD
0%
100%
Output file flag
0%
100%
Threshold justification
0%
100%
Format justification
100%
100%
Artifact upload
50%
100%
Trigger events
100%
100%
Without context: $0.6314 · 3m 46s · 30 turns · 82 in / 6,742 out tokens
With context: $0.3916 · 1m 10s · 19 turns · 181 in / 3,828 out tokens
80%
67%Weekly Performance Reporting for Multiple Stakeholders
Multi-format performance reporting
Performance report command
0%
100%
Markdown format for engineering
0%
100%
HTML format for management
0%
100%
JSON format for alerting
50%
100%
Include-metrics flag
0%
100%
Time-range flag
0%
100%
Output flag usage
0%
100%
Sections flag usage
0%
0%
Section names accurate
60%
100%
Default format awareness
0%
0%
Three distinct reports
30%
100%
Without context: $1.8866 · 7m 51s · 64 turns · 65 in / 17,938 out tokens
With context: $0.4059 · 1m 11s · 20 turns · 23 in / 4,152 out tokens
100%
75%Production Swarm Performance Runbook
Bottleneck remediation runbook
Bottleneck detect command
0%
100%
Swarm ID targeting
0%
100%
Production threshold value
0%
100%
Threshold environment guidance
0%
100%
Compare flag usage
0%
100%
Fix review before applying
40%
100%
Test in development first
87%
100%
Incremental fix application
75%
100%
Cache diagnostic command
0%
100%
Agent metrics command
100%
100%
Task status command
0%
100%
Time range flag
0%
100%
Without context: $1.2333 · 7m 39s · 64 turns · 88 in / 13,114 out tokens
With context: $0.3191 · 1m 23s · 15 turns · 266 in / 4,709 out tokens
- Evaluated
- Agent
- Claude Code
Table of Contents
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