Model-Generated Skills in Language Agents: A Systematic Study
A recent study published on arXiv (2605.23899) rigorously assesses the skills produced by language agents. These skills are procedural constructs derived from previous experiences, with both domain-specific and model-generated skills allowing for rapid adaptation and scalability beyond manual development. The research establishes a utility-based evaluation framework that encompasses five distinct agentic task domains, addressing the entire skill lifecycle: experience generation, skill extraction, and skill utilization. It investigates the effectiveness of these skills, the conditions under which they succeed, and the factors that lead to their failure, presenting systematic experimental findings across various extractors and target agents.
Key facts
- arXiv paper 2605.23899
- Studies model-generated agent skills
- Covers five diverse agentic task domains
- Evaluates full skill lifecycle: generation, extraction, consumption
- Uses utility-grounded evaluation framework
- Focuses on domain-level and model-generated skills
- Provides systematic experimental results
- Aims to understand when and why skills succeed or fail
Entities
Institutions
- arXiv