본문으로 건너뛰기
cccskills
무료GitHub에 공개

lead-research-assistant

Find prospective customers or partners that match your product and target market. Get a prioritized company list with reasons for fit, relevant decision-maker roles, and tailored suggestions for starting sales conversations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

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.

연동 도구LinkedIn
설치 방법 보기

이럴 때 유용합니다

  • Finding prospective customers for a product
  • Prioritizing companies for sales outreach
  • Researching potential business partners
  • Preparing tailored conversation starters

포함된 파일(1)

  • SKILL.md6.4 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Create interactive 3D scenes for websites, including product views and scroll-driven animations. Covers choosing Three.js, React Three Fiber, or Spline, preparing lightweight models, showing loading progress, and adapting experiences for mobile devices.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Building an interactive 3D product configurator
  • Adding 3D scenes to a portfolio
  • Animating models and cameras as visitors scroll
davila7/claude-code-templates3.3만2026년 10월 18일 업데이트

Plan A/B tests that compare page or product changes, with clear hypotheses, sample sizes, success metrics, and traffic allocation. Get a structured test plan and guidance for interpreting results and deciding what to try next.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Comparing signup button copy
  • Planning a pricing page experiment
  • Estimating sample size and test duration
davila7/claude-code-templates3.3만2026년 10월 18일 업데이트

Prepare an academic CV for faculty, postdoctoral, or research applications. Organize publications, grants, teaching, and research experience, with section order and formatting adapted to the role and academic field.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Preparing a CV for faculty applications
  • Updating a CV for postdoctoral applications
  • Organizing publications and research funding
davila7/claude-code-templates3.3만2026년 10월 18일 업데이트

Audit and improve web accessibility using WCAG 2.1 guidelines. Covers image descriptions, color contrast, keyboard controls, forms, and screen reader support, with code examples and automated and manual checks to guide fixes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Auditing accessibility before a website launch
  • Improving keyboard navigation
  • Fixing form labels and error announcements
davila7/claude-code-templates3.3만2026년 10월 18일 업데이트

Audit websites for accessibility barriers and improve image descriptions, color contrast, forms, keyboard navigation, and screen reader support. Provides code examples and automated and manual testing guidance for work toward WCAG 2.1 AA or AAA accessibility standards.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Auditing a website for accessibility issues
  • Fixing form labels and error announcements
  • Checking keyboard navigation and dialog focus
davila7/claude-code-templates3.3만2026년 10월 18일 업데이트

Design autonomous agents for Claude Code plugins, including when they should run, what tools they may use, and how they should respond. Provides configuration templates, prompt guidance, and validation steps for creating agent files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Create a code review agent
  • Refine examples that trigger an agent
  • Limit the tools an agent can use
davila7/claude-code-templates3.3만2026년 10월 18일 업데이트

davila7의 스킬 모두 보기

이 스킬의 문제 신고