ai-ml-api-automation
Automate AI ML API tasks via Rube MCP (Composio). Always search tools first for current schemas.
64
46%
Does it follow best practices?
Impact
100%
50.00xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./composio-skills/ai-ml-api-automation/SKILL.mdEvaluation results
100%
100%Automate Sentiment Analysis of Customer Feedback
Core workflow sequence and tool execution pattern
Search before execute
0%
100%
Search use_case parameter
0%
100%
Connection check step
0%
100%
ACTIVE status verified
0%
100%
memory parameter present
0%
100%
Session ID generated
0%
100%
Session ID reused
0%
100%
Tool slug from search
0%
100%
Correct execute tool
0%
100%
Schema-compliant args
0%
100%
100%
100%Onboarding Guide for AI ML API Automation Toolkit
Setup, onboarding, and MCP configuration
Correct MCP endpoint
0%
100%
No API keys required
0%
100%
Verify with RUBE_SEARCH_TOOLS
0%
100%
RUBE_MANAGE_CONNECTIONS for ai_ml_api
0%
100%
ACTIVE status check
0%
100%
Auth link follow-up
0%
100%
RUBE_SEARCH_TOOLS in starter workflow
0%
100%
schemaRef handling
0%
100%
Session ID in starter workflow
0%
100%
Correct toolkit identifier
0%
100%
100%
93%Bulk Image Classification Pipeline for Product Catalog
Bulk operations and pagination handling
RUBE_SEARCH_TOOLS first
0%
100%
Bulk tool used
0%
100%
run_composio_tool in bulk
0%
100%
Pagination check
0%
100%
Pagination loop
0%
100%
schemaRef handling
0%
100%
Connection check
0%
100%
Session ID reuse
0%
100%
memory parameter present
100%
100%
Bulk over sequential justification
50%
100%
- Repository
- ComposioHQ/awesome-claude-skills
- Commit
2790447
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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