News
Key Takeaways
- Google Antigravity now supports Anthropic's Agent Skills standard.
- AI agents gain access to portable, reusable skills packages.
- IT and development teams can capture, reuse and version procedural know-how across projects.
Google's Antigravity update signals growing enterprise demand for portable, standardized AI agent capabilities that work across platforms.
On January 14, 2026, Google updated its Antigravity vibe coding platform to support the Agent Skills open standard. The standard, originally developed by Anthropic, enables AI agents to use portable, reusable skills for company-specific workflows and knowledge.
According to Google, the integration allows agents to access procedural knowledge and context on demand. The company claims that teams can capture organizational knowledge in portable, version-controlled packages that work across multiple agent products.
Table of Contents
- What Agent Skills Actually Do
- How Google Repositioned Itself in the Agent Race
- The Case for Portable Skills in Enterprise AI
- Google at a Glance
What Agent Skills Actually Do
Agent skills are reusable packages of knowledge that extend agent capabilities, according to Google.
| Agent Skill Element | Description |
|---|---|
| Agent Skills standard support | Enables portable skills across compatible agent products |
| Workspace-specific skills | Project-level workflows for team deployment or testing conventions |
| Global skills | Personal utilities available across all workspaces |
| Progressive disclosure | Agents discover, activate and execute skills based on context |
| Version-controlled packages | Teams can capture organizational knowledge in portable formats |
How Google Repositioned Itself in the Agent Race
Google reversed course dramatically in 2025 after a stumbling 2024 marked by AI missteps, with the company's stock rising 68% to reach a $3.8 trillion market cap. CEO Sundar Pichai instilled urgency through direct involvement in product reviews while implementing six-week launch sprints.
Google DeepMind's Gemini 3 family now rivals Claude and ChatGPT atop performance leaderboards, with the company launching thinking controls and pricing shifts for the Gemini 3 API in November 2025. In January 2026, the tech giant introduced the Universal Commerce Protocol (UCP) to address fragmented commerce infrastructure blocking agentic AI advancement.
The Case for Portable Skills in Enterprise AI
Portable skill frameworks and open protocols are reshaping how enterprises deploy, coordinate and scale AI agents.
Rapid Market Evolution & Budget Commitment
Enterprise interest in AI agents has intensified dramatically. Agent piloting nearly doubled to 65% between Q4 2024 and Q1 2025, according to KPMG research. A striking 99% of organizations planned deployments as of mid-2025.
Over 80% boosted AI budgets specifically for agents, with two-thirds seeing increases exceeding 10%, per PwC data. Gartner projected that 33% of enterprise software will include agentic AI by 2028, up from less than 1% in 2024.
Interoperability Through Standardized Protocols
Open standards are proving essential for multi-agent coordination. Standardized protocols like Agent2Agent enable interoperability across platforms and vendors, allowing distributed AI systems to communicate seamlessly.
4-Tier Agent Architecture
Enterprise deployments typically involve four agent categories:
- Taskers: Execute routine jobs like compliance screening
- Automators: Manage complex workflows such as financial close processes
- Collaborators: Work alongside human teams in planning and analysis
- Orchestrators: Coordinate activities across organizational boundaries
Knowledge Management & Workflow Integration
Organizations with structured workflows and strong knowledge-sharing ecosystems can deploy agents more rapidly.
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Early adopters report tangible benefits. For example, Mindgard integrated AI agents into customer support, observing faster response times, reduced manual errors and improved productivity. Additionally, Bain & Company reported 25% efficiency gains through automated evaluation and optimization.
Google at a Glance
A global technology provider founded in 1998 in California, the company addresses consumers, advertisers, enterprises and public sector organizations with digital platforms, advertising, cloud and productivity solutions.
