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What Keeps Agent Skills from Being Reusable? Evidence from 138K SKILL.md Files

BACKGROUND
4 SIGNALSFIRST DETECTED 12 August 2026
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25 Sept
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Other feeds and industry voices
11 May
CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment

arXiv:2605.06702v1 Announce Type: new Abstract: Large language models (LLMs) have become a central foundation of modern artificial intelligence, yet their lifecycle remains

REPORT · WHAT · ArXiv CS.AIOPEN STORY
8 Apr
Graph of Skills: Dependency-Aware Structural Retrieval for Massive Agent Skills

arXiv:2604.05333v1 Announce Type: new Abstract: Skill usage has become a core component of modern agent systems and can substantially improve agents' ability to complete complex

REPORT · WHERE · ArXiv CS.AIOPEN STORY
21 Apr
Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents

arXiv:2604.15877v1 Announce Type: new Abstract: As LLM agents scale to long-horizon, multi-session deployments, efficiently managing accumulated experience becomes a critical

REPORT · WHAT · ArXiv CS.AIOPEN STORY
18 May
Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design

arXiv:2605.15871v1 Announce Type: new Abstract: Toward recursive self-improvement, we investigate LLM agents autonomously designing foundation models beyond standard Transformers.

REPORT · WHAT · ArXiv CS.AIOPEN STORY
2 May
In-Context Prompting Obsoletes Agent Orchestration for Procedural Tasks

arXiv:2604.27891v1 Announce Type: new Abstract: Agent orchestration frameworks -- LangGraph, CrewAI, Google ADK, OpenAI Agents SDK, and others -- place an external orchestrator

REPORT · WHAT · ArXiv CS.AIOPEN STORY
5 Aug
Don't Offer What Can't Be Done: Deterministic Executability Gating for LLM Skill Selection at Scale

arXiv:2608.01050v1 Announce Type: new Abstract: Production LLM agents that select from large skill libraries face a limitation that semantic relevance alone cannot resolve: a

REPORT · WHAT · ArXiv CS.AIOPEN STORY
20 Mar
Memento-Skills: Let Agents Design Agents

arXiv:2603.18743v1 Announce Type: new Abstract: We introduce \emph{Memento-Skills}, a generalist, continually-learnable LLM agent system that functions as an \emph{agent-designing

REPORT · WHERE · ArXiv CS.AIOPEN STORY
9 Apr
Architecture Without Architects: How AI Coding Agents Shape Software Architecture

arXiv:2604.04990v1 Announce Type: cross Abstract: AI coding agents select frameworks, scaffold infrastructure, and wire integrations, often in seconds. These are architectural

REPORT · HOW · ArXiv CS.AIOPEN STORY
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