通过 Rube MCP 自动化调用 Google Cloud Vision 完成图像识别与分析任务
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请帮我安装 askskill 上的 "google-cloud-vision-automation" 技能: 1. 下载 https://raw.githubusercontent.com/ComposioHQ/awesome-claude-skills/master/composio-skills/google-cloud-vision-automation/SKILL.md 2. 保存为 ~/.claude/skills/google-cloud-vision-automation/SKILL.md 3. 装好后重载技能,告诉我可以用了
Automate Google Cloud Vision operations through Composio's Google Cloud Vision toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/google_cloud_vision
RUBE_MANAGE_CONNECTIONS with toolkit google_cloud_visionRUBE_SEARCH_TOOLS first to get current tool schemasGet Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.
RUBE_SEARCH_TOOLS respondsRUBE_MANAGE_CONNECTIONS with toolkit google_cloud_visionAlways discover available tools before executing workflows:
RUBE_SEARCH_TOOLS
queries: [{use_case: "Google Cloud Vision operations", known_fields: ""}]
session: {generate_id: true}
This returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.
RUBE_SEARCH_TOOLS
queries: [{use_case: "your specific Google Cloud Vision task"}]
session: {id: "existing_session_id"}
RUBE_MANAGE_CONNECTIONS
toolkits: ["google_cloud_vision"]
session_id: "your_session_id"
RUBE_MULTI_EXECUTE_TOOL
tools: [{
tool_slug: "TOOL_SLUG_FROM_SEARCH",
arguments: {/* schema-compliant args from search results */}
}]
memory: {}
session_id: "your_session_id"
RUBE_SEARCH_TOOLSRUBE_MANAGE_CONNECTIONS shows ACTIVE status before executing toolsmemory in RUBE_MULTI_EXECUTE_TOOL calls, even if empty ({})| Operation | Approach |
|---|---|
| Find tools | RUBE_SEARCH_TOOLS with Google Cloud Vision-specific use case |
| Connect | RUBE_MANAGE_CONNECTIONS with toolkit google_cloud_vision |
| Execute | RUBE_MULTI_EXECUTE_TOOL with discovered tool slugs |
| Bulk ops | RUBE_REMOTE_WORKBENCH with run_composio_tool() |
| Full schema | RUBE_GET_TOOL_SCHEMAS for tools with schemaRef |
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