SkillForge: Forging Domain-Specific, Self-Evolving Agent Skills in Cloud Technical Support
Deploying LLM-powered agents in enterprise scenarios such as cloud technical support demands high-quality, domain-specific skills. However, existing skill creators lack domain grounding, producing skills poorly aligned with real-world task requirements. Moreover, once deployed, there is no systematic mechanism to trace execution failures back to skill deficiencies and drive targeted refinements, leaving skill quality stagnant despite accumulating operational evidence. We introduce SkillForge, a self-evolving framework that closes an end-to-end creation-evaluation-refinement loop. To produce well-aligned initial skills, a Domain-Contextualized Skill Creator grounds skill synthesis in knowl...
| Authors | Xingyan Liu, Xiyue Luo, Linyu Li et al. |
|---|---|
| Primary category | cs.IR |
| Published | 9 April 2026 |
| Last updated at source | 29 April 2026 |
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