arXiv AI
Jul 13
Inside the Skill Market: From Software Engineering Activities to Reusable Agent Skills
arXiv:2607. 09065v1 Announce Type: cross Abstract: Software engineering (abbrev.
Skillware: A Software Ontology and Engineering Lifecycle for Persistent Behavioral Artifacts
arXiv:2607. 18970v1 Announce Type: cross Abstract: Agent Skills have become persistent behavioral artifacts across independent AI agent systems.
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arXiv AI
Jul 14
Dynamic Agent Skills: A Lifecycle Survey and Taxonomy of Evolving Skill Libraries
arXiv:2607. 10113v1 Announce Type: new Abstract: Large language model agents increasingly store reusable procedures outside the model.
arXiv AI
Jun 3
Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward
arXiv:2602. 12430v4 Announce Type: replace-cross Abstract: The transition from monolithic language models to modular, skill-equipped agents marks a defining shift in how large language models (LLMs) are deployed in practice.
arXiv AI
Jun 9
SKILL.nb: Selective Formalization and Gated Execution for Durable Agent Workflows
arXiv:2606. 08049v1 Announce Type: new Abstract: AI agents increasingly turn past experience into reusable artifacts such as code, workflows, and procedural memories.
arXiv AI
Jul 29
Authoring Agent Skills: A Software-Engineering Approach
arXiv:2607. 25032v1 Announce Type: cross Abstract: Agent Skills are an emerging way to extend large language model agents with reusable procedural knowledge that the agent loads on demand.
arXiv AI
Aug 11
SkillClaw: Let Skills Evolve Collectively with Agentic Evolver
arXiv:2604. 08377v2 Announce Type: replace Abstract: Large language model (LLM) agents such as OpenClaw rely on reusable skills to perform complex tasks, yet these skills remain largely static after deployment.
arXiv AI
Jul 7
SkillFab: An Agent-Native Skill Production Platform
arXiv:2607. 03780v1 Announce Type: cross Abstract: SkillFab is an agent-native platform for turning missing capabilities into reviewed, reusable Agent Skills.
arXiv AI
Sep 7
From Interaction Traces to Persistent Skills: Online Evolution for Computer-Use Agents
The paper introduces an online skill‑evolution framework that transforms interaction traces and evaluator feedback into a persistent, versioned library of reusable procedures for computer‑use agents. By executing each iteration against a frozen library snapshot, the system updates skills without altering the underlying model parameters. Experiments across four OSWorld domains show that the evolving library consistently outperforms an empty‑library baseline, with gains ranging from 5.7 to 18.6 percentage points, while also revealing domain‑specific temporal stability and challenges in skill retrieval and revision.
arXiv AI
Aug 11
What Keeps Agent Skills from Being Reusable? Evidence from 138K SKILL.md Files
arXiv:2608. 08453v1 Announce Type: new Abstract: Under the current standard, Agent Skills are SKILL.
Hugging Face Trending Papers
Aug 9
What Keeps Agent Skills from Being Reusable? Evidence from 138K SKILL.md Files
Under the current standard, Agent Skills are SKILL. md files that combine instructions with supporting resources, enabling Large Language Model (LLM) agents to reuse procedures beyond a single conversation.
arXiv AI
Sep 1
Towards a Systems Foundation for Agentic Skills: Architecture, Lifecycle, and Security
arXiv:2608.29596v1 Announce Type: new Abstract: Autonomous large language model (LLM) agents increasingly face reliability, context consumption, and execution stability bottlenecks when deployed on c...
arXiv AI
4d ago
Skill2Env: Capability-Oriented Environment Synthesis from Skills for General Agents
arXiv:2609.33772v2 Announce Type: replace Abstract: Executable environments are critical for post-training agents on tasks that require tool use and multi-step interaction, but constructing executabl...