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BytesAgainBytesAgain
🦀 ClawHub

Lead Research Assistant Cn

by @guohongbin-git

销售线索研究助手 | Sales Lead Research Assistant. 识别高质量销售线索 | Identify high-quality sales leads. 分析目标公司、提供联系策略 | Analyze target companies, provide contact strategies...

Versionv1.0.2
Downloads1,126
Installs2
Stars1
TERMINAL
clawhub install lead-research-assistant-cn

📖 About This Skill


name: lead-research-assistant-cn description: "销售线索研究助手 | Sales Lead Research Assistant. 识别高质量销售线索 | Identify high-quality sales leads. 分析目标公司、提供联系策略 | Analyze target companies, provide contact strategies. 触发词:销售线索、lead research、客户开发." metadata: openclaw: emoji: 🎯 fork-of: "https://github.com/anthropics/skills"

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:

       # 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
  • 💡 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