SkillForge: Self-Evolving LLM Agent Skills for Cloud Support
SkillForge is a self-evolving framework designed to improve domain-specific skills for LLM-powered agents in enterprise cloud technical support. It addresses two key issues: existing skill creators lack domain grounding, producing skills misaligned with real-world tasks, and there is no mechanism to trace execution failures back to skill deficiencies for targeted refinement. SkillForge closes this loop with a Domain-Contextualized Skill Creator that grounds skill synthesis in knowledge bases and historical support tickets, and a three-stage pipeline—Failure Analyzer, Skill Diagnostician, and Skill Optimizer—that automatically diagnoses execution failures, pinpoints underlying skill issues, and drives continuous self-optimization. The framework ensures skill quality evolves with operational evidence.
Key facts
- SkillForge is a self-evolving framework for LLM-powered agents in cloud technical support.
- Existing skill creators lack domain grounding, producing poorly aligned skills.
- No systematic mechanism exists to trace execution failures to skill deficiencies.
- SkillForge closes an end-to-end creation-evaluation-refinement loop.
- Domain-Contextualized Skill Creator grounds synthesis in knowledge bases and support tickets.
- Three-stage pipeline: Failure Analyzer, Skill Diagnostician, and Skill Optimizer.
- Pipeline automatically diagnoses execution failures in batch.
- Framework enables continuous self-optimization of skills.
Entities
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