Google’s agentic IDE, Anti-Gravity, has introduced a game-changing feature: Skills. This makes building AI agents faster, more standardized, and significantly more efficient.
In this breakdown, I build a fully autonomous Auto ML agent to demonstrate the power of Skills. Instead of writing code, I simply upload a dataset, and the agent automatically:
- Identifies the problem: It determines if the data requires regression, classification, or clustering.
- Writes the code: It generates the Python scripts and runs the algorithms live.
- Visualizes the data: It produces a complete HTML dashboard with business insights.
Why Skills Matter By defining a "Skill" (using a standard skills.md file), you no longer need to repetitively prompt your agent with context. You define the instructions, examples, and resources once, and the agent autonomously figures out which path to take—whether that’s predicting Customer Lifetime Value or analyzing Customer Churn.
This approach saves tokens, ensures consistent outputs across your organization, and allows you to deploy expert-level agents in minutes.