The post Deep Agents Integrate Anthropic’s Skill-Based Framework appeared on BitcoinEthereumNews.com. Lawrence Jengar Nov 26, 2025 05:20 LangChain’s deepagents-CLI now supports Anthropic’s agent skills, enhancing AI performance with dynamic skill folders. This move marks a significant advancement in AI task execution efficiency. LangChain has announced the integration of Anthropic’s innovative agent skills into its deepagents-CLI, enhancing the capability of AI agents to perform tasks more efficiently. This development, detailed by the LangChain Blog, underscores the growing trend of equipping AI agents with adaptable skills to improve their task execution. The Concept of Agent Skills Agent skills, as introduced by Anthropic, are designed to allow AI agents to dynamically discover and load specific task-oriented resources. These skills are organized in folders containing a SKILL.md file, along with any necessary documents or scripts, enabling agents to perform better at designated tasks. Advantages of Skills Over Traditional Tools One of the primary benefits of using skills over traditional tools is token efficiency. Skills are progressively disclosed, meaning only the YAML frontmatter is loaded by default, and the full SKILL.md is accessed only when required. This approach significantly reduces the cognitive load on agents, allowing them to operate with a smaller set of atomic tools rather than a multitude of potentially overlapping ones. Implementation in Deep Agents LangChain’s deepagents-CLI, an open-source coding assistant, now incorporates these skills, enabling it to utilize a wide array of public skills effectively. Users can easily integrate these skills by creating a skills folder and copying example skills from the LangChain repository. The deepagents-CLI automatically loads these skills at startup, ready to execute relevant tasks when prompted. Generalist Agents and Skill Application Generalist agents like Claude Code and Manus have demonstrated the efficiency of using minimal tools by leveraging computer access. By offloading actions from specialized tools to the filesystem, these agents… The post Deep Agents Integrate Anthropic’s Skill-Based Framework appeared on BitcoinEthereumNews.com. Lawrence Jengar Nov 26, 2025 05:20 LangChain’s deepagents-CLI now supports Anthropic’s agent skills, enhancing AI performance with dynamic skill folders. This move marks a significant advancement in AI task execution efficiency. LangChain has announced the integration of Anthropic’s innovative agent skills into its deepagents-CLI, enhancing the capability of AI agents to perform tasks more efficiently. This development, detailed by the LangChain Blog, underscores the growing trend of equipping AI agents with adaptable skills to improve their task execution. The Concept of Agent Skills Agent skills, as introduced by Anthropic, are designed to allow AI agents to dynamically discover and load specific task-oriented resources. These skills are organized in folders containing a SKILL.md file, along with any necessary documents or scripts, enabling agents to perform better at designated tasks. Advantages of Skills Over Traditional Tools One of the primary benefits of using skills over traditional tools is token efficiency. Skills are progressively disclosed, meaning only the YAML frontmatter is loaded by default, and the full SKILL.md is accessed only when required. This approach significantly reduces the cognitive load on agents, allowing them to operate with a smaller set of atomic tools rather than a multitude of potentially overlapping ones. Implementation in Deep Agents LangChain’s deepagents-CLI, an open-source coding assistant, now incorporates these skills, enabling it to utilize a wide array of public skills effectively. Users can easily integrate these skills by creating a skills folder and copying example skills from the LangChain repository. The deepagents-CLI automatically loads these skills at startup, ready to execute relevant tasks when prompted. Generalist Agents and Skill Application Generalist agents like Claude Code and Manus have demonstrated the efficiency of using minimal tools by leveraging computer access. By offloading actions from specialized tools to the filesystem, these agents…

                                                                               BitGo’s move creates further competition in a burgeoning European crypto market that is expected to generate $26 billion revenue this year, according to one estimate.                     BitGo, a digital asset infrastructure company with more than $100 billion in assets under custody, has received an extension of its license from Germany’s Federal Financial Supervisory Authority (BaFin), enabling it to offer crypto services to European investors. The company said its local subsidiary, BitGo Europe, can now provide custody, staking, transfer, and trading services. Institutional clients will also have access to an over-the-counter (OTC) trading desk and multiple liquidity venues.The extension builds on BitGo’s previous Markets-in-Crypto-Assets (MiCA) license, also issued by BaFIN, and adds trading to the existing custody, transfer and staking services. BitGo acquired its initial MiCA license in May 2025, which allowed it to offer certain services to traditional institutions and crypto native companies in the European Union.Read more