Claude Agent Skill · by Composiohq

Lead Research Assistant

The Lead Research Assistant identifies high-quality leads for sales and business development professionals by analyzing their product or service, researching ta

Install
Terminal · npx
$npx skills add https://github.com/composiohq/awesome-claude-skills --skill lead-research-assistant
Works with Paperclip

How Lead Research Assistant fits into a Paperclip company.

Lead Research Assistant drops into any Paperclip agent that handles this kind of work. Assign it to a specialist inside a pre-configured PaperclipOrg company and the skill becomes available on every heartbeat — no prompt engineering, no tool wiring.

S
SaaS FactoryPaired

Pre-configured AI company — 18 agents, 18 skills, one-time purchase.

$27$59
Explore pack
Source file
SKILL.md199 lines
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---name: lead-research-assistantdescription: 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.--- # 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 market2. **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 solves3. **Prioritizes Leads**: Ranks companies based on fit score and relevance4. **Provides Contact Strategies**: Suggests how to approach each lead with personalized messaging5. **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