38 lines
1.8 KiB
JSON
38 lines
1.8 KiB
JSON
{
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"_comment": "Example configuration for creating an MCP-powered skill",
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"mcp_servers": [
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{
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"name": "puppeteer",
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"command": ["npx", "-y", "@modelcontextprotocol/server-puppeteer"]
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},
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{
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"name": "twitter",
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"command": ["npx", "-y", "@modelcontextprotocol/server-twitter"]
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},
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{
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"name": "reddit",
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"command": ["npx", "-y", "@modelcontextprotocol/server-reddit"]
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}
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],
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"workflow_description": "When I research a new internet product:\n\n1. First, I visit the official website and read about their features, pricing, and positioning\n2. Then I search Twitter for recent mentions and community sentiment\n3. I also check Reddit discussions in relevant subreddits like r/SaaS and r/ProductHunt\n4. Finally, I combine all findings into a comprehensive markdown report with:\n - Executive summary\n - Key features and differentiators\n - Pricing analysis\n - Community sentiment\n - Pros and cons from users\n - My recommendations",
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"preferences": [
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"I prefer to see quantitative metrics when available (user counts, ratings, conversion rates)",
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"I value recent information (last 6 months) much more than old reviews",
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"I like to highlight contradictions between what the company claims and what users actually experience",
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"For pricing, I want to see how it compares to direct competitors"
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],
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"sop": [
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"Always start with official sources to establish ground truth",
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"Cross-reference official claims against community feedback",
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"Look for red flags like frequent complaints about specific features or missing functionality",
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"Prioritize reviews from actual users over promotional content or affiliate marketing",
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"Include direct quotes from notable reviews or discussions",
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"End report with actionable recommendations based on research"
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]
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}
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