
Live Multimodal Streaming Solution Designer
Guides an agent to design a Google Cloud architecture for real-time audio/video AI systems
- Repository
- google/skills
- Stars
- 21,782
- Licence
- Apache-2.0
- Files
- 5 files
What it does
Once installed, the agent interviews you about a live AI system that handles continuous audio, video, or text streams, such as real-time technical guidance or safety monitoring. It asks clarifying questions, proposes a component breakdown and a Google Cloud product mapping, draws a Mermaid architecture diagram, and writes a solution architecture guide, with deployment prerequisites and an implementation plan. The skill tells the agent to base its guidance on Google Cloud documentation it fetches, and to get your approval at each stage before moving on.
Great for
- Developers planning a real-time, bidirectional streaming AI agent on Google Cloud
- Architects who want a structured requirements-to-architecture workflow for multimodal live systems
- Teams evaluating which Google Cloud products (for example Cloud Run, WebSockets, or the Gemini Live API) fit a streaming design
Skip it if
- Simple text chat applications or workloads without real-time streaming, which the skill itself says it should not be used for
- Non-technical users looking for a finished, deployed product: the output is a design and plan, and the skill's own instructions say it will need your review before deployment steps proceed
- Anyone without a Google Cloud project, billing setup or IAM access, since deploying the design requires these and they can incur costs
Try asking
- “Design a Google Cloud architecture for a live video inspection agent that watches a factory line and flags unsafe steps”
- “Help me plan a real-time voice and video tutoring agent that streams to Gemini Live on Cloud Run”
- “Generate a solution architecture guide and Mermaid diagram for a multi-agent safety monitoring system with WebSocket clients”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 5 original files, the Apache-2.0 licence and an attribution note.
google-cloud-solution-agentic-ai-bidirectional-streaming.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip google-cloud-solution-agentic-ai-bidirectional-streaming.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip google-cloud-solution-agentic-ai-bidirectional-streaming.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- Answer the requirements questions concretely (input modalities, target latency, device and network limits) so the decomposition is accurate.
- Review each generated decomposition and architecture before approving; the skill loops until you confirm.
- Check the cost, IAM, and networking implications yourself before running any deployment commands the agent proposes.
What's inside
- assets/output-template.md
- references/attribution.md
- references/design-recommendations.md
- references/product-mapping.md
- SKILL.md
Redistributed unmodified from google/skills under the Apache-2.0 licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.