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