Agent SkillsNeverSight/learn-skills.dev › lead-research-assistant

lead-research-assistant

GitHub

辅助销售与商务拓展,通过分析业务特征和理想客户画像,搜索并筛选高匹配度潜在客户,提供联系策略和数据丰富化服务。

data/skills-md/89jobrien/steve/lead-research-assistant/SKILL.md NeverSight/learn-skills.dev

Trigger Scenarios

寻找潜在客户或客户 构建合作公司名单 识别销售外展的目标账户 研究符合理想客户画像的公司

Install

npx skills add NeverSight/learn-skills.dev --skill lead-research-assistant -g -y
More Options

Non-standard path

npx skills add https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/89jobrien/steve/lead-research-assistant -g -y

Use without installing

npx skills use NeverSight/learn-skills.dev@lead-research-assistant

指定 Agent (Claude Code)

npx skills add NeverSight/learn-skills.dev --skill lead-research-assistant -a claude-code -g -y

安装 repo 全部 skill

npx skills add NeverSight/learn-skills.dev --all -g -y

预览 repo 内 skill

npx skills add NeverSight/learn-skills.dev --list

SKILL.md

Frontmatter
{
    "tag": "skill",
    "name": "lead-research-assistant",
    "type": "skill",
    "author": "Joseph OBrien",
    "status": "unpublished",
    "updated": "2025-12-23",
    "version": "1.0.1",
    "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."
}

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

Reference Files

  • references/RESEARCH_REPORT.template.md - Research report template with key findings, evidence, and recommendations
  • references/COMPETITIVE_ANALYSIS.template.md - Competitive analysis template with market overview, competitor profiles, and SWOT

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

Version History

  • e0220ca Current 2026-07-05 21:29

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Metadata

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Version
e4a0f95
Hash
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Indexed
2026-07-05 21:29

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