🎯

lead-research-assistant

🎯Skill

from skillcreatorai/awesome-agent-skills

VibeIndex|
What it does

Identifies and prioritizes high-quality business leads by analyzing your product, searching target companies, and providing personalized contact strategies.

πŸ“¦

Part of

skillcreatorai/awesome-agent-skills(21 items)

lead-research-assistant

Installation

npxRun with npx
npx ai-agent-skills install frontend-design
npxRun with npx
npx ai-agent-skills install pdf --agent cursor
npxRun with npx
npx ai-agent-skills install mcp-builder --agent vscode
npxRun with npx
npx ai-agent-skills install <skill-name>
npxRun with npx
npx ai-agent-skills install <skill-name> --agent cursor

+ 44 more commands

πŸ“– Extracted from docs: skillcreatorai/awesome-agent-skills
12Installs
-
AddedFeb 4, 2026

Skill Details

SKILL.md

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.

Overview

# 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

  1. Prioritizes Leads: Ranks companies based on fit score and relevance
  2. Provides Contact Strategies: Suggests how to approach each lead with personalized messaging
  3. 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

  1. Define Ideal Customer Profile

- Determine target industries and sectors

- Identify company size ranges

- Consider geographic preferences

- Understand relevant pain points

- Note any technology requirements

  1. 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

  1. 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

  1. 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

  1. 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]

```

  1. 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

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