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SkillZip: Evaluation-Free Skill Compression for Self-Evolving Agents by Discovering Reusable Structure
arXiv cs.AI · Published · 3 min read
In 30 seconds
- What happened
- SkillZip compresses AI agent skills by finding reusable structure without running evaluations, using minimum description length to factor repeated rules and actions.
- Why it matters
- Matters for engineers building self-evolving agents that accumulate skills over time and need to manage growing skill libraries efficiently.
- Watch out
- Paper is theoretical; unclear how well structural extraction works on real agent skills or whether rare exceptions are truly preserved in practice.
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