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feat: Complete Skill #2 - n8n MCP Tools Expert
Implements comprehensive guidance for using n8n-mcp MCP tools effectively. This is the HIGHEST PRIORITY skill that addresses the 20% MCP tool failure rate. Files created: - 5 evaluations testing tool selection, nodeType formats, validation, and smart parameters - SKILL.md (505 lines) - Core tool usage guide with telemetry insights - SEARCH_GUIDE.md (243 lines) - Node discovery tools (search, essentials vs info) - VALIDATION_GUIDE.md (377 lines) - Configuration validation and auto-sanitization - WORKFLOW_GUIDE.md (385 lines) - Workflow management with 15 operation types - README.md - Skill metadata emphasizing highest priority Key features: - Tool selection guide with success rates (search_nodes 99.9%, get_node_essentials 91.7%) - nodeType format distinction (nodes-base.* vs n8n-nodes-base.*) - Validation profiles explained (minimal/runtime/ai-friendly/strict) - Smart parameters for IF/Switch nodes (branch="true", case=0) - Auto-sanitization system for operator structures - Telemetry insights (56s between edits, 18s search→essentials, 23s+58s validate→fix) - AI connection types (8 types documented) Total: ~1,650 lines across 10 files Based on analysis of 447,557 real MCP tool usage events. 🤖 Conceived by Romuald Członkowski - https://www.aiadvisors.pl/en
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evaluations/mcp-tools/eval-005-smart-parameters.json
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evaluations/mcp-tools/eval-005-smart-parameters.json
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{
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"id": "mcp-005",
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"skills": ["n8n-mcp-tools-expert"],
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"query": "I'm using n8n_update_partial_workflow to connect an IF node to two different handlers. How do I specify which branch (true or false) each connection should use?",
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"expected_behavior": [
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"Explains smart parameters for multi-output nodes",
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"Shows branch parameter: branch='true' or branch='false'",
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"Provides complete example with addConnection operation",
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"Explains this is simpler than using sourceIndex manually",
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"Mentions Switch nodes use case=N parameter",
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"References WORKFLOW_GUIDE.md for more details",
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"Shows both true and false branch connections"
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],
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"baseline_without_skill": {
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"likely_response": "May suggest using output indices without knowing semantic parameters exist",
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"expected_quality": "Medium - might work but miss the easier smart parameter approach"
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},
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"with_skill_expected": {
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"response_quality": "High - teaches smart parameters for cleaner code",
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"uses_skill_content": true,
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"shows_branch_parameter": true,
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"provides_working_example": true,
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"mentions_switch_equivalent": true
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}
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}
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