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SkillOpt: Agent skills as trainable parameters

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1 SIGNALFIRST DETECTED 30 June 2026
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How the story developed
30 Jun
SkillOpt: Agent skills as trainable parameters
REPORT · WHAT · Microsoft Research
Other feeds and industry voices
11 Jun
SkillOpt: Revolutionizing AI Agent Skills in 2026

<p>After building 50+ AI systems, here is what we know about optimizing AI agent skills.</p> <p>SkillOpt is a groundbreaking open-source framework developed by Microsoft that

REPORT · HOW · Dev.toOPEN STORY
23 Sept
Making Agents More Consistent: Skills Should Form Habits for Repeat Tasks

arXiv:2609.25299v1 Announce Type: new Abstract: On repeated work, agents are inconsistent. We ran 42 tasks three times each and found that, depending on the model, 38% to 74%

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
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
18 May
SkillSmith: Compiling Agent Skills into Boundary-Guided Runtime Interfaces

arXiv:2605.15215v1 Announce Type: new Abstract: Recently, skills have been widely adopted in large language model (LLM)-based agent systems across various domains. In existing

REPORT · WHAT · 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
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