skills

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DataRobot for Developers — integrating with the Google Antigravity CLI

ai, AI (Artificial Intelligence), AI Agent Development, Artificial Intelligence, Gemini, mcp, skills

Antigravity CLI is the newest agentic coding CLI from Google, replacing the now-deprecated Gemini CLI. It inherits the asynchronous subagent model that makes Antigravity stand out from the field, syncs bidirectionally with Antigravity Desktop, and is optimized for speed on Gemini 3.5 Flash. DataRobot ships a full plugin for Antigravity CLI directly from the same […]

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Build with Cursor and deploy production-ready AI agents on DataRobot

ai, AI (Artificial Intelligence), AI Agent Development, Artificial Intelligence, cursor, skills

Cursor has changed how developers write code. The agent mode is good: you describe what you want, it reasons through the problem, picks the right tools, and ships working code. For greenfield projects and standard libraries, it works smoothly. Where it gets harder is when you’re building agents on a specialized platform with its own

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DataRobot for Developers: Skills in Cursor, Gemini, and Claude

ai, AI (Artificial Intelligence), Artificial Intelligence, claude, cursor, Gemini, skills

The hardest part of building against a new platform is teaching your tools about it. Your coding agent doesn’t know the SDK’s conventions. Your IDE doesn’t know the CLI commands. Your terminal doesn’t know the auth pattern. Every gap is a context switch, and every context switch is time spent away from the work. DataRobot

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Four developer workflows using DataRobot Skills, MCP, templates, agent assist, and LLM Gateway.

DataRobot for Developers: Skills, MCP, and the agentic developer surface

ai, AI (Artificial Intelligence), AI Agent Development, Artificial Intelligence, cursor, mcp, skills

You shouldn’t have to leave Cursor to build, deploy, or monitor a production-grade agent. You can wire together LangChain, a vector DB, a monitoring tool, and a deployment pipeline yourself, but you’ll spend more time on that plumbing than on the agent itself. DataRobot is the shortcut. It now lives where you build, integrating directly

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With new plugins feature, OpenAI officially takes Codex beyond coding

ai, AI (Artificial Intelligence), Artificial Intelligence, ChatGPT, Claude Code, Codex, LLM, mcp, OpenAI, plugins, skills

OpenAI has added plugin support to its agentic coding app Codex in an apparent attempt to match similar features offered by competitors Anthropic (in Claude Code) and Google (in Gemini’s command line interface). What OpenAI calls “plugins” are actually bundles that may include skills (“prompts that describe workflows to Codex”—a standard feature in tools like

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With new plugins feature, OpenAI officially takes Codex beyond coding

ai, AI (Artificial Intelligence), Artificial Intelligence, ChatGPT, Claude Code, Codex, LLM, mcp, OpenAI, plugins, skills

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OpenAI targets AI skills gap with new certification standards

ai, AI and Us, AI Business Strategy, Artificial Intelligence, certification, Courses, Education, Education AI, enterprise, Human-AI Relationships, Inside AI, skills, talent, workforce, World of Work

Adoption of generative AI has outpaced workforce capability, prompting OpenAI to target the skills gap with new certification standards. While it’s safe to say OpenAI’s tools have reached mass adoption, organisations struggle to convert this usage into reliable output. To address this, OpenAI has announced ‘AI Foundations,’ a structured initiative designed to standardise how employees

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AI in manufacturing set to unleash new era of profit

agentic ai, agents, ai, AI and Us, AI Business Strategy, AI in Action, Artificial Intelligence, enterprise, Features, Governance, Regulation & Policy, infrastructure, Inside AI, manufacturing, Manufacturing & Engineering AI, skills, strategy, Trust, Bias & Fairness, workforce, World of Work

Manufacturing executives are wagering nearly half their modernisation budgets on AI, betting these systems will boost profit within two years. This aggressive capital allocation marks a definitive pivot. AI is now seen as the primary engine for financial performance. According to the Future-Ready Manufacturing Study 2025 by Tata Consultancy Services (TCS) and AWS, 88 percent

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Agentic AI autonomy grows in North American enterprises

adoption, agentic ai, agents, AI and Us, AI Business Strategy, AI Market Trends, Artificial Intelligence, automation, enterprise, Features, Governance, Regulation & Policy, Human-AI Relationships, Inside AI, Investments, operations, skills, Special Reports & Series, strategy, trust, Trust, Bias & Fairness, workforce, World of Work

North American enterprises are now actively deploying agentic AI systems intended to reason, adapt, and act with complete autonomy. Data from Digitate’s three-year global programme indicates that, while adoption is universal across the board, regional maturity paths are diverging. North American firms are scaling toward full autonomy, whereas their European counterparts are prioritising governance frameworks

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