b52318eeae
- Add intelligent-router.sh hook for automatic agent routing - Add AUTO-TRIGGER-SUMMARY.md documentation - Add FINAL-INTEGRATION-SUMMARY.md documentation - Complete Prometheus integration (6 commands + 4 tools) - Complete Dexto integration (12 commands + 5 tools) - Enhanced Ralph with access to all agents - Fix /clawd command (removed disable-model-invocation) - Update hooks.json to v5 with intelligent routing - 291 total skills now available - All 21 commands with automatic routing 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
98 lines
3.4 KiB
Markdown
98 lines
3.4 KiB
Markdown
# Product Name Research Agent
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An AI agent specialized in comprehensive product name research and brand validation. Combines domain availability checking, search engine analysis, developer platform collision detection, and competitive intelligence to provide thorough name validation.
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## 📖 Tutorial
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For a complete walkthrough of building and using this agent, see the [Product Name Scout Agent Tutorial](../../docs/docs/tutorials/product-name-scout-agent.md).
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## Features
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- **Domain Availability**: Check multiple TLD extensions (.com, .io, .app, .dev, etc.)
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- **SERP Competition Analysis**: Analyze search engine results for brand competition
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- **Autocomplete Intelligence**: Assess name recognition and spelling patterns
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- **Developer Platform Collision Detection**: Check GitHub, npm, and PyPI for conflicts
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- **Competitive Research**: DuckDuckGo-powered market intelligence
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- **Comprehensive Scoring**: Weighted algorithms for brand viability assessment
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- **Batch Comparison**: Compare multiple names with detailed scoring breakdown
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## Prerequisites
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Ensure you have the domain checker MCP server available:
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```bash
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# Install the domain checker MCP server
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uvx truffle-ai-domain-checker-mcp
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```
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## Usage
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### Start the Agent
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```bash
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# From the dexto root directory
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dexto -a agents/product-name-researcher/product-name-researcher.yml
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```
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### Example Interactions
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**Single Product Name Research:**
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```
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User: I want to research the name "CloudSync" for my new file sync product
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Agent: [Performs comprehensive research including domain availability, trademark search, social media handles, and competitive analysis]
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```
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**Compare Multiple Names:**
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```
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User: Help me choose between "DataFlow", "InfoStream", and "SyncHub" for my data management tool
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Agent: [Compares all three names across multiple criteria and provides recommendations]
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```
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**Domain-Focused Research:**
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```
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User: Check domain availability for "myawesomeapp" across all major TLDs
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Agent: [Uses domain checker to verify availability across .com, .net, .org, .io, .app, etc.]
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```
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## Configuration
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The agent uses:
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- **Domain Checker MCP Server**: For domain availability checking
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- **DuckDuckGo MCP Server**: For web search and competitive research
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- **Product Name Scout MCP Server**: For SERP analysis, autocomplete, and developer collision detection
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## Research Report
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The agent generates comprehensive reports including:
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1. **Domain Availability Summary**
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- Available domains with recommendations
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- Pricing information where available
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- Alternative TLD suggestions
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2. **Trademark Analysis**
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- Similar trademarks found
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- Risk assessment
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- Recommendations for trademark clearance
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3. **Developer Platform Analysis**
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- GitHub repository conflicts
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- NPM package collisions
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- PyPI package conflicts
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4. **Competitive Landscape**
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- Existing products with similar names
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- Market positioning analysis
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- Differentiation opportunities
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5. **Overall Recommendation**
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- Scoring across all criteria
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- Risk assessment
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- Next steps recommendations
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## Tips for Best Results
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- **Be specific about your product**: Include the product category and target market
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- **Provide alternatives**: Give multiple name options for comparison
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- **Consider your priorities**: Mention if domain availability, trademark clearance, or developer platform conflicts are most important
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- **Think internationally**: Consider how the name works in different languages and markets |