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agent-orchestration-multi-agent-optimize

Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.

65

1.15x
Quality

47%

Does it follow best practices?

Impact

97%

1.15x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/agent-orchestration-multi-agent-optimize/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

100%

27%

Coordinated Agent Optimization System

Multi-agent orchestrator implementation

Criteria
Without context
With context

ThreadPoolExecutor usage

0%

100%

Futures-based dispatch

0%

100%

PriorityQueue scheduling

100%

100%

PerformanceTracker component

100%

100%

Minimal inter-agent overhead

100%

100%

Incremental deployment plan

100%

100%

Regression testing requirement

100%

100%

Rollback support

100%

100%

Gradual rollout strategy

100%

100%

Before/after measurement

50%

100%

98%

9%

LLM Cost Reduction for a Multi-Agent Customer Support Platform

Cost-aware adaptive model selection

Criteria
Without context
With context

Monthly token budget

40%

100%

Token usage tracking

100%

100%

Per-model cost map

100%

100%

Includes haiku-class model

100%

100%

Complexity-based model selection

100%

100%

Budget enforcement

80%

100%

Result caching

100%

100%

Incremental cost controls

100%

100%

Before/after cost measurement

100%

100%

Regression test for output quality

70%

80%

93%

2%

Diagnosing and Improving a Slow E-Commerce Agent Pipeline

Baseline profiling and incremental optimization workflow

Criteria
Without context
With context

Baseline metrics first

100%

100%

Database profiling agent

100%

100%

Application profiling agent

100%

100%

Frontend profiling agent

100%

100%

Context compression

100%

100%

Semantic truncation pattern

37%

100%

Incremental change plan

100%

100%

After-optimization measurement

100%

100%

Rollback mechanism

100%

100%

Fault tolerance

50%

12%

Performance target defined

100%

100%

Repository
haniakrim21/everything-claude-code
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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