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commands/generate-leads.md
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commands/generate-leads.md
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---
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name: generate-leads
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description: Generate ICP-qualified leads with enrichment, intent signals, and export-ready outputs.
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usage: /sales-prospecting:generate-leads --criteria "B2B SaaS" --count 50 --enrich comprehensive
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---
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# Generate Leads Command
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Generate qualified leads based on ideal customer profile (ICP) criteria with enriched contact information and buying signals.
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## Command Syntax
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```bash
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/sales-prospecting:generate-leads --criteria <criteria> --count <number> --enrich <level>
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```
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## Parameters
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- `--criteria`: ICP definition (industry, size, tech stack, location, etc.)
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- `--count`: Number of leads to generate (default: 20)
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- `--enrich`: Enrichment level (basic|standard|comprehensive)
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- `--intent`: Include intent signals (true|false, default: true)
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- `--contacts`: Number of contacts per account (default: 3)
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- `--format`: Output format (csv|json|salesforce|hubspot)
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## Examples
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### Basic Lead Generation
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```bash
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/sales-prospecting:generate-leads --criteria "SaaS companies, 50-500 employees, using Salesforce"
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```
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### Comprehensive Account Research
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```bash
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/sales-prospecting:generate-leads \
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--criteria "Financial services, >$100M revenue, Northeast US" \
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--count 50 \
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--enrich comprehensive \
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--contacts 5
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```
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### Intent-Based Targeting
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```bash
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/sales-prospecting:generate-leads \
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--criteria "Recently funded B2B companies" \
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--intent true \
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--enrich standard
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```
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## Process Flow
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1. **Define ICP Parameters**
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- Parse criteria into searchable filters
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- Validate parameter compatibility
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- Set enrichment requirements
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2. **Initial Discovery**
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- Query data sources for matching companies
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- Apply filtering and scoring logic
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- Rank by fit score
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3. **Contact Discovery**
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- Identify decision makers and influencers
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- Map buying committee structure
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- Verify contact information
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4. **Data Enrichment**
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- Append firmographic data
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- Add technographic insights
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- Include intent signals and triggers
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- Calculate lead scores
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5. **Output Generation**
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- Format according to specification
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- Include research notes and insights
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- Generate outreach recommendations
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## Output Schema
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### Standard Lead Record
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```json
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{
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"company": {
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"name": "Acme Corp",
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"domain": "acme.com",
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"industry": "Software",
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"size": 250,
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"revenue": "$50M",
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"location": "San Francisco, CA",
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"growth_rate": "45%"
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},
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"contacts": [
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{
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"name": "John Smith",
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"title": "VP Sales",
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"email": "john.smith@acme.com",
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"linkedin": "linkedin.com/in/johnsmith",
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"phone": "+1-415-555-0100",
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"role": "Decision Maker"
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}
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],
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"technology": {
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"crm": "Salesforce",
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"marketing": "HubSpot",
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"relevant_tools": ["Slack", "Zoom", "Google Workspace"]
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},
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"signals": {
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"intent_score": 82,
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"buying_signals": [
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"Researching competitors",
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"Downloaded pricing guides",
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"Attending industry events"
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],
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"trigger_events": [
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"New VP Sales hired 2 months ago",
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"Series B funding closed"
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]
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},
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"recommendations": {
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"approach": "Reference their recent funding and expansion plans",
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"value_prop": "Focus on scalability and integration with Salesforce",
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"timing": "High - active buying cycle"
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}
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}
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```
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## Enrichment Levels
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### Basic
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- Company name, website, industry
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- Basic size and location data
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- 1-2 contacts with titles
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- Lead score
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### Standard
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- All basic fields plus:
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- Revenue and growth data
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- 3-4 contacts with full details
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- Technology stack overview
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- Key buying signals
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### Comprehensive
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- All standard fields plus:
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- Full buying committee mapping
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- Detailed technographic profile
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- Intent data and signals
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- Competitive intelligence
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- Personalized outreach recommendations
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- Account research brief
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## Integration Options
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### CRM Export
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```bash
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# Direct to Salesforce
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/sales-prospecting:generate-leads --criteria "..." --format salesforce
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# HubSpot compatible
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/sales-prospecting:generate-leads --criteria "..." --format hubspot
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```
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### Sales Engagement
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```bash
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# Outreach.io format
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/sales-prospecting:generate-leads --criteria "..." --format outreach
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# SalesLoft format
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/sales-prospecting:generate-leads --criteria "..." --format salesloft
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```
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## Advanced Options
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### Exclusion Lists
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```bash
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--exclude-companies "competitor1.com,competitor2.com"
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--exclude-existing true # Skip current CRM records
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```
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### Scoring Customization
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```bash
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--scoring-model "enterprise" # Use enterprise scoring model
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--minimum-score 70 # Only include leads scoring 70+
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```
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### Geographic Targeting
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```bash
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--location "San Francisco Bay Area"
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--timezone "PST"
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--language "English"
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```
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## Best Practices
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1. **Start Narrow**: Begin with specific criteria and expand based on results
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2. **Validate ICP**: Test initial results against known good customers
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3. **Iterate Quickly**: Refine criteria based on response rates
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4. **Track Performance**: Monitor which criteria generate best leads
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5. **Regular Refresh**: Re-run monthly to catch new matches
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## Error Handling
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- **No matches found**: Broaden criteria or adjust filters
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- **Too many results**: Add more specific criteria
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- **Missing data**: Adjust enrichment level or data sources
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- **Rate limits**: Batch processing for large requests
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---
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*Execution model: claude-haiku-4-5 for data processing, claude-sonnet-4 for insights generation*
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