SkillOrchestra: Learning to Route Agents via Skill Transfer (Feb 2026)

Описание: Title: SkillOrchestra: Learning to Route Agents via Skill Transfer (Feb 2026)
Link: http://arxiv.org/abs/2602.19672v1
Date: February 2026

Summary:
SkillOrchestra is a framework for skill-aware agent orchestration that learns fine-grained skills from execution experience to model agent-specific competence and cost. By utilizing a structured 'Skill Handbook,' the system makes state-aware decisions that optimize performance-cost trade-offs, effectively mitigating the common issue of 'routing collapse' found in RL-based methods while drastically reducing training costs.

Key Topics:
Agent Orchestration
Model Routing
Skill-Aware Learning
Multi-Turn Reasoning
Pareto Frontier Optimization
Transfer Learning

Chapters:
00:00 - Introduction to Skill Orchestra
01:28 - Agentic Workforce Economics
02:53 - Solving Routing Collapse
05:00 - Triple Layer Architecture
06:45 - Automating Skill Discovery
08:00 - Modeling Performance Uncertainty
09:32 - Refining Handbook Accuracy
11:03 - Transferability and Pareto Selection
13:04 - Analyzing Benchmark Performance
15:13 - Debugging with Think Tags
16:15 - Multi-Turn Escalation Example
18:32 - Evaluating Training Costs
20:07 - Scaling Modular AI Agents

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