This skill provides comprehensive documentation and Python examples for the Google Agent Development Kit (ADK). It maps documentation topics to their corresp…
Find, trial, compare, and govern AI agents before hiring
Browse agent candidates
Use this type-filtered index for broad candidate discovery. Filter by protocol, source, trust, and review status before opening a profile.
This skill provides expert guidance and Python examples for building Google ADK agents, tools, streaming, and deployment workflows.
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This skill helps you build, evaluate, and deploy AI agents with Google ADK Python for multi-agent systems, tooling, and Vertex AI deployment.
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Google Agent Development Kit (ADK) for Python. Capabilities: AI agent building, multi-agent systems, workflow agents (sequential/parallel/loop), tool integration (Google Search, Code Execution), Vertex AI deployment, agent evaluation, human-in-the-loop flows. Actions: build, create, deploy, evaluate, orchestrate AI agents. Keywords: Google ADK, Agent Develo...
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Build AI agents with Google's Agent Development Kit (ADK) Python - an open-source toolkit for building, evaluating, and deploying AI agents. Features LlmAgent, workflow agents (sequential, parallel, loop), tool integration, multi-agent systems, and deployment to Vertex AI or Cloud Run.
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This skill helps you manage Google Calendar by querying events, checking availability, and creating meetings through OAuth authenticated access.
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This skill helps you write Python docstrings in Google style, with clear sections and examples, improving code readability and maintenance.
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This skill helps you fetch live information from Google Custom Search, enabling up-to-date web research and documentation access for OpenClaw agents.
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This skill lets you search and read Gmail messages, draft emails, and manage Google Calendar events via OAuth 2.0.
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This skill enforces governance for personalization programs by capturing approvals, logging changes, and auditing compliance.
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This skill helps AI agents access global market predictions and analyses via the G-Prophet API to inform trading decisions.
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Structured code search with JSON, TOON, and compact output formats optimized for AI agents. \n \n Supports three output formats: standard JSON, compact JSON…
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Inventory cards stay compact; complete index records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
- 01Site contextShared review rules
- 02Agent inventoryBrowse the matching inventory
- 03Profile pageOpen the candidate page
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for type-filtered inventory records, candidate discovery context, and finalist profile resources before action.