Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
56
33%
Does it follow best practices?
Impact
96%
3.00xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/agent-orchestration-multi-agent-optimize/SKILL.mdMulti-layer profiling agents
DatabasePerformanceAgent class
0%
100%
ApplicationPerformanceAgent class
0%
100%
FrontendPerformanceAgent class
0%
100%
All three agents instantiated
0%
100%
aggregate_performance_metrics call
0%
100%
Per-agent profile collection
50%
100%
Database-layer metrics
100%
100%
Application-layer metrics
100%
100%
Frontend-layer metrics
100%
100%
Baseline establishment
100%
100%
Validation with rollback
100%
100%
Cost-aware model selection
CostOptimizer class
0%
100%
token_budget value
0%
100%
gpt-5 model cost
0%
100%
claude-4-sonnet model cost
0%
100%
claude-4-haiku model cost
0%
100%
select_optimal_model method
0%
100%
Budget-aware model selection
100%
100%
token_usage tracking
100%
100%
Incremental rollout plan
100%
100%
Rollback mechanism
100%
100%
Parallel orchestration with context compression
MultiAgentOrchestrator class
0%
100%
PriorityQueue for execution_queue
0%
100%
PerformanceTracker instance
0%
100%
ThreadPoolExecutor usage
0%
100%
as_completed pattern
0%
100%
performance_tracker.log call
0%
100%
semantic_truncate function
0%
100%
max_tokens=4000 parameter
0%
100%
importance_threshold=0.7 parameter
0%
100%
Caching or memoization
0%
0%
Fault tolerance handling
100%
100%
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Table of Contents
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