SkillZip: Contract-Preserving Graph Compression for Agent Skill Libraries
Xingyu Tan · hf · 2026-08-13
SkillZip is a compression method designed for AI agent skill libraries. It compresses reusable procedural skills into contract-preserving, executable graph units.
The core objective is to address the retrieval and expansion challenges under limited context budgets. By utilizing efficient graph compression, it enhances the invocation performance of large-scale skill libraries.
Related event: SkillZip: Evaluation-Free Graph Compression for Agent Skills(2 posts)→
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