all-images-ai-automation
Scannednpx machina-cli add skill ComposioHQ/awesome-claude-skills/all-images-ai-automation --openclawAll Images AI Automation via Rube MCP
Automate All Images AI operations through Composio's All Images AI toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/all_images_ai
Prerequisites
- Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
- Active All Images AI connection via
RUBE_MANAGE_CONNECTIONSwith toolkitall_images_ai - Always call
RUBE_SEARCH_TOOLSfirst to get current tool schemas
Setup
Get 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.
- Verify Rube MCP is available by confirming
RUBE_SEARCH_TOOLSresponds - Call
RUBE_MANAGE_CONNECTIONSwith toolkitall_images_ai - If connection is not ACTIVE, follow the returned auth link to complete setup
- Confirm connection status shows ACTIVE before running any workflows
Tool Discovery
Always discover available tools before executing workflows:
RUBE_SEARCH_TOOLS
queries: [{use_case: "All Images AI operations", known_fields: ""}]
session: {generate_id: true}
This returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.
Core Workflow Pattern
Step 1: Discover Available Tools
RUBE_SEARCH_TOOLS
queries: [{use_case: "your specific All Images AI task"}]
session: {id: "existing_session_id"}
Step 2: Check Connection
RUBE_MANAGE_CONNECTIONS
toolkits: ["all_images_ai"]
session_id: "your_session_id"
Step 3: Execute Tools
RUBE_MULTI_EXECUTE_TOOL
tools: [{
tool_slug: "TOOL_SLUG_FROM_SEARCH",
arguments: {/* schema-compliant args from search results */}
}]
memory: {}
session_id: "your_session_id"
Known Pitfalls
- Always search first: Tool schemas change. Never hardcode tool slugs or arguments without calling
RUBE_SEARCH_TOOLS - Check connection: Verify
RUBE_MANAGE_CONNECTIONSshows ACTIVE status before executing tools - Schema compliance: Use exact field names and types from the search results
- Memory parameter: Always include
memoryinRUBE_MULTI_EXECUTE_TOOLcalls, even if empty ({}) - Session reuse: Reuse session IDs within a workflow. Generate new ones for new workflows
- Pagination: Check responses for pagination tokens and continue fetching until complete
Quick Reference
| Operation | Approach |
|---|---|
| Find tools | RUBE_SEARCH_TOOLS with All Images AI-specific use case |
| Connect | RUBE_MANAGE_CONNECTIONS with toolkit all_images_ai |
| 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 |
Powered by Composio
Source
git clone https://github.com/ComposioHQ/awesome-claude-skills/blob/master/composio-skills/all-images-ai-automation/SKILL.mdView on GitHub Overview
Automate all images-related AI tasks using Composio's All Images AI toolkit through Rube MCP. The workflow emphasizes discovering current tool schemas, establishing an ACTIVE all_images_ai connection, and executing tools with validated inputs. This approach stays in sync with evolving tool definitions to prevent drift.
How This Skill Works
Begin by discovering available tools with RUBE_SEARCH_TOOLS to obtain current slugs and schemas. Then verify and activate a connection to the all_images_ai toolkit via RUBE_MANAGE_CONNECTIONS. Finally, execute the chosen tool with RUBE_MULTI_EXECUTE_TOOL, supplying the discovered slug, exact input fields, memory, and the session_id.
When to Use It
- When you need to orchestrate batch image tasks by first discovering tools with RUBE_SEARCH_TOOLS for up-to-date schemas.
- When establishing or validating a live Rube MCP connection to the all_images_ai toolkit and ensuring it is ACTIVE.
- When you want to run a specific image operation after retrieving its tool slug and input schema from the search results.
- When performing bulk image operations in a single workflow and reusing session IDs, including a memory payload.
- When tool schemas change and you must re-fetch schemas before execution to avoid hardcoding slugs or arguments.
Quick Start
- Step 1: Add the Rube MCP endpoint (https://rube.app/mcp) and verify RUBE_SEARCH_TOOLS responds.
- Step 2: Call RUBE_MANAGE_CONNECTIONS with toolkits: ["all_images_ai"] and ensure the status becomes ACTIVE.
- Step 3: Discover a tool with RUBE_SEARCH_TOOLS, then execute it with RUBE_MULTI_EXECUTE_TOOL using the discovered slug and memory payload.
Best Practices
- Always call RUBE_SEARCH_TOOLS first to get current tool schemas before any execution.
- Check that RUBE_MANAGE_CONNECTIONS shows an ACTIVE status prior to running tools.
- Use exact field names and types as defined in the tool's input schema from the search results.
- Include a memory object in every RUBE_MULTI_EXECUTE_TOOL call, even if empty.
- Reuse session IDs within a workflow and fetch pagination tokens if tool results are paginated.
Example Use Cases
- Batch resize and format-convert a gallery of product images using the discovered tools.
- Apply watermarks and automatic cropping across a marketing image batch.
- Generate captions and alt text for accessibility across an image gallery.
- Perform style-transfer or color-correction on a set of images in a single workflow.
- Tag images with metadata and keyword hints using the All Images AI toolkit.
