Observed Signal · Sep 30, 2026 · Market Signal · Source: Google Discovered · Impact: 2/5
Data Agent Kit is now GA: Bring Google Data Cloud to any coding agent
Data Agent Kit is now generally available, enabling integration of Google Data Cloud with any coding agent.
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OpenAI Launches Data Agent for ChatGPT Work
OpenAI introduced a new Data agent within ChatGPT Work, designed to let business users analyze company data through natural language queries. The agent connects to various data sources including Amazon Redshift, Datadog, Google BigQuery, ClickHouse, Databricks, MongoDB, and Snowflake, as well as files from Google Drive and SharePoint. It leverages semantic layers and business context from platforms like Databricks Genie, dbt, GitHub, and Snowflake Horizon. Users can build and share interactive dashboards, and the agent can also interact with BI tools like Tableau, Power BI, Sigma, and ThoughtSpot. OpenAI states that the agent is built from internal tools, with most of its product team and over two-thirds of its GTM organization using it. Early adopters include NTT Data, Thermo Fisher, ServiceTitan, and others.
Google ADK Architecture and Core Components
This article presents a high-level architecture and component breakdown for the Google Agent Development Kit (ADK), a framework for building, testing, and deploying AI agent applications. It describes layered architecture including user interfaces, an ADK Runtime & Runner, an agent system (LLM agents, workflows, custom agents), foundational components (session, state, memory, events, tools, artifacts), and a models & knowledge layer that integrates Gemini-family models via Vertex AI or Google AI Studio and supports Retrieval-Augmented Generation (RAG). The piece also covers observability and governance (traceability, logs, metrics, evaluation, alerts, security) and deployment options such as a managed Agent Runtime on Google Cloud, Cloud Run, GKE, and on-premises environments.
Google Launches Official Agent Skills Repository
Google announced an official Agent Skills repository at Google Cloud Next 2026. The repository (github.com/google/skills) ships with thirteen skills covering product-specific knowledge (AlloyDB, BigQuery, Cloud Run, Cloud SQL, Firebase, the Gemini API, GKE), three Well‑Architected pillars (Security, Reliability, Cost Optimization), and three recipe skills (onboarding, authentication, network observability). Agent Skills is an open format originally developed by Anthropic; it packages condensed, agent-optimized expertise that loads on demand using progressive disclosure to reduce "context bloat" that arises from pulling large documentation into model contexts. The skills are versioned, auditable, composable, installable via a single command, and compatible with Antigravity, Gemini CLI, and third‑party agents. Google says more skills will be added over coming weeks and months.
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