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Zhongwei Li
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SKILL.md
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SKILL.md
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name: lead-research-assistant
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description: Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
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---
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# Lead Research Assistant
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This skill helps you identify and qualify potential leads for your business by analyzing your product/service, understanding your ideal customer profile, and providing actionable outreach strategies.
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## When to Use This Skill
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- Finding potential customers or clients for your product/service
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- Building a list of companies to reach out to for partnerships
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- Identifying target accounts for sales outreach
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- Researching companies that match your ideal customer profile
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- Preparing for business development activities
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## What This Skill Does
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1. **Understands Your Business**: Analyzes your product/service, value proposition, and target market
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2. **Identifies Target Companies**: Finds companies that match your ideal customer profile based on:
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- Industry and sector
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- Company size and location
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- Technology stack and tools they use
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- Growth stage and funding
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- Pain points your product solves
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3. **Prioritizes Leads**: Ranks companies based on fit score and relevance
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4. **Provides Contact Strategies**: Suggests how to approach each lead with personalized messaging
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5. **Enriches Data**: Gathers relevant information about decision-makers and company context
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## How to Use
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### Basic Usage
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Simply describe your product/service and what you're looking for:
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```
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I'm building [product description]. Find me 10 companies in [location/industry]
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that would be good leads for this.
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```
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### With Your Codebase
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For even better results, run this from your product's source code directory:
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```
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Look at what I'm building in this repository and identify the top 10 companies
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in [location/industry] that would benefit from this product.
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```
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### Advanced Usage
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For more targeted research:
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```
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My product: [description]
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Ideal customer profile:
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- Industry: [industry]
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- Company size: [size range]
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- Location: [location]
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- Current pain points: [pain points]
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- Technologies they use: [tech stack]
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Find me 20 qualified leads with contact strategies for each.
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```
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## Instructions
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When a user requests lead research:
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1. **Understand the Product/Service**
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- If in a code directory, analyze the codebase to understand the product
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- Ask clarifying questions about the value proposition
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- Identify key features and benefits
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- Understand what problems it solves
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2. **Define Ideal Customer Profile**
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- Determine target industries and sectors
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- Identify company size ranges
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- Consider geographic preferences
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- Understand relevant pain points
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- Note any technology requirements
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3. **Research and Identify Leads**
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- Search for companies matching the criteria
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- Look for signals of need (job postings, tech stack, recent news)
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- Consider growth indicators (funding, expansion, hiring)
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- Identify companies with complementary products/services
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- Check for budget indicators
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4. **Prioritize and Score**
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- Create a fit score (1-10) for each lead
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- Consider factors like:
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- Alignment with ICP
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- Signals of immediate need
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- Budget availability
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- Competitive landscape
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- Timing indicators
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5. **Provide Actionable Output**
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For each lead, provide:
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- **Company Name** and website
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- **Why They're a Good Fit**: Specific reasons based on their business
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- **Priority Score**: 1-10 with explanation
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- **Decision Maker**: Role/title to target (e.g., "VP of Engineering")
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- **Contact Strategy**: Personalized approach suggestions
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- **Value Proposition**: How your product solves their specific problem
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- **Conversation Starters**: Specific points to mention in outreach
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- **LinkedIn URL**: If available, for easy connection
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6. **Format the Output**
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Present results in a clear, scannable format:
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```markdown
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# Lead Research Results
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## Summary
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- Total leads found: [X]
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- High priority (8-10): [X]
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- Medium priority (5-7): [X]
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- Average fit score: [X]
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---
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## Lead 1: [Company Name]
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**Website**: [URL]
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**Priority Score**: [X/10]
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**Industry**: [Industry]
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**Size**: [Employee count/revenue range]
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**Why They're a Good Fit**:
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[2-3 specific reasons based on their business]
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**Target Decision Maker**: [Role/Title]
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**LinkedIn**: [URL if available]
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**Value Proposition for Them**:
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[Specific benefit for this company]
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**Outreach Strategy**:
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[Personalized approach - mention specific pain points, recent company news, or relevant context]
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**Conversation Starters**:
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- [Specific point 1]
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- [Specific point 2]
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---
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[Repeat for each lead]
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```
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7. **Offer Next Steps**
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- Suggest saving results to a CSV for CRM import
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- Offer to draft personalized outreach messages
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- Recommend prioritization based on timing
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- Suggest follow-up research for top leads
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## Examples
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### Example 1: From Lenny's Newsletter
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**User**: "I'm building a tool that masks sensitive data in AI coding assistant queries. Find potential leads."
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**Output**: Creates a prioritized list of companies that:
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- Use AI coding assistants (Copilot, Cursor, etc.)
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- Handle sensitive data (fintech, healthcare, legal)
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- Have evidence in their GitHub repos of using coding agents
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- May have accidentally exposed sensitive data in code
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- Includes LinkedIn URLs of relevant decision-makers
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### Example 2: Local Business
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**User**: "I run a consulting practice for remote team productivity. Find me 10 companies in the Bay Area that recently went remote."
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**Output**: Identifies companies that:
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- Recently posted remote job listings
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- Announced remote-first policies
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- Are hiring distributed teams
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- Show signs of remote work challenges
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- Provides personalized outreach strategies for each
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## Tips for Best Results
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- **Be specific** about your product and its unique value
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- **Run from your codebase** if applicable for automatic context
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- **Provide context** about your ideal customer profile
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- **Specify constraints** like industry, location, or company size
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- **Request follow-up** research on promising leads for deeper insights
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## Related Use Cases
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- Drafting personalized outreach emails after identifying leads
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- Building a CRM-ready CSV of qualified prospects
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- Researching specific companies in detail
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- Analyzing competitor customer bases
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- Identifying partnership opportunities
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