SkillRet: A Large-Scale Benchmark for Skill Retrieval in LLM Agents
cs.AI
Submitted: 2026-05-07
Updated: 2026-09-01
Code: https://github.com/ThakiCloud/SKILLRET
Terminology
Sources
- jina-embeddings-v5-text: Task-Targeted Embedding Distillation
- Diffusion-Pretrained Dense and Contextual Embeddings
- SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?
- XSkill: Continual Learning from Experience and Skills in Multimodal Agents
- SoK: Agentic Skills -- Beyond Tool Use in LLM Agents
- Decoupling Representation and Classifier for Long-Tailed Recognition
- NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
- Organizing, Orchestrating, and Benchmarking Agent Skills at Ecosystem Scale
- Understanding Neural Networks through Representation Erasure
- SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
- Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models
- Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- Text Embeddings by Weakly-Supervised Contrastive Pre-training
- WebXSkill: Skill Learning for Autonomous Web Agents
- MetaClaw: Just Talk -- An Agent That Meta-Learns and Evolves in the Wild
- Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward
- Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
- F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World
- KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model
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