all-images-ai-automation
Automate All Images AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
Install with Tessl CLI
npx tessl i github:haniakrim21/everything-claude-code --skill all-images-ai-automation50
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillValidation for skill structure
Evaluation results
100%
100%Automation Runbook: Image Processing Pipeline
Core tool execution workflow
Tool discovery first
0%
100%
Search query specificity
0%
100%
Connection verification step
0%
100%
ACTIVE status gate
0%
100%
Execution via RUBE_MULTI_EXECUTE_TOOL
0%
100%
Memory parameter present
0%
100%
Session ID generation
0%
100%
Session ID reuse
0%
100%
No hardcoded tool slugs
0%
100%
Without context: $0.4747 · 1m 47s · 26 turns · 2,115 in / 6,033 out tokens
With context: $0.4966 · 2m 3s · 25 turns · 80 in / 7,053 out tokens
100%
70%Product Catalog Image Processing at Scale
Bulk operations and pagination
RUBE_SEARCH_TOOLS first
0%
100%
Bulk tool: RUBE_REMOTE_WORKBENCH
0%
100%
run_composio_tool() usage
0%
100%
Pagination token check
100%
100%
Pagination continuation
100%
100%
schemaRef handling
0%
100%
Session reuse
0%
100%
Without context: $0.3271 · 1m 44s · 12 turns · 16 in / 7,249 out tokens
With context: $0.3479 · 1m 24s · 16 turns · 278 in / 4,987 out tokens
100%
98%Developer Onboarding: All Images AI Integration
Connection setup and verification
MCP server endpoint
0%
100%
No API key requirement
0%
100%
RUBE_MANAGE_CONNECTIONS toolkit
0%
100%
ACTIVE status check
0%
100%
Auth link follow-up
13%
100%
RUBE_SEARCH_TOOLS verification
0%
100%
Session ID generation
0%
100%
Without context: $1.2725 · 3m 44s · 37 turns · 14,865 in / 7,208 out tokens
With context: $0.3089 · 1m 20s · 15 turns · 274 in / 4,401 out tokens
- Evaluated
- Agent
- Claude Code
Table of Contents
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