SkillZip Pro: Execution-Aware Dynamic Compression of Progressively Loaded Skills for Self-Evolving Agents
cs.AI
Submitted: 2026-08-31
Updated: 2026-08-31
Code: https://github.com/yutou520131/SkillZip-Pro
Terminology
Sources
- SkillGrad: Optimizing Agent Skills Like Gradient Descent
- SkillOpt: Executive Strategy for Self-Evolving Agent Skills
- Formal Skill: Programmable Runtime Skills for Efficient and Accurate LLM Agents
- Skill-to-LoRA: From Using Skills to Learning Behaviors for Token-Efficient LLM Agents
- SkVM: Revisiting Language VM for Skills across Heterogenous LLMs and Harnesses
- LiveMathematicianBench: A Live Benchmark for Research-Level Mathematical Reasoning with Proof Sketches
- Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
- A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
- LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
- SkillReducer: Optimizing LLM Agent Skills for Token Efficiency
- SkillZip: Evaluation-Free Skill Compression for Self-Evolving Agents by Discovering Reusable Structure
- SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
- VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection