By name: lead-research-assistant description: This skill should be used when the user asks to "find leads", "identify potential customers", "find companies that would benefit from my product", "build a prospect list", "target accounts for sales outreach", or mentions lead generation, prospecting, or business development research. Helps identify high-quality leads by analyzing your business, searching for target companies, and providing actionable contact strategies.
Lead Research Assistant
This skill helps identify and qualify potential leads 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
- Understands Your Business: Analyzes your product/service, value proposition, and target market
- 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
- Prioritizes Leads: Ranks companies based on fit score and relevance
- Provides Contact Strategies: Suggests how to approach each lead with personalized messaging
- 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:
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
Define Ideal Customer Profile
- Determine target industries and sectors
- Identify company size ranges
- Consider geographic preferences
- Understand relevant pain points
- Note any technology requirements
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
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
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
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]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: AI Data Security Tool
User: "I'm building a tool that masks sensitive data in AI coding assistant queries. Find potential leads."
Output Sample:
## Lead 3: Stripe
**Website**: https://stripe.com
**Priority Score**: 9/10
**Industry**: Fintech / Payments
**Size**: 8,000+ employees
**Why They're a Good Fit**:
- Heavy usage of AI coding assistants (evident in engineering blog posts)
- Handles highly sensitive payment data (PCI compliance critical)
- Recent GitHub activity shows Cursor/Copilot integration work
- Security is core to their brand identity
**Target Decision Maker**: VP of Engineering or Head of Developer Platform
**LinkedIn**: https://linkedin.com/company/stripe
**Value Proposition for Them**:
Enable Stripe engineers to use AI coding assistants without risking data exposure
or PCI violations. Your tool integrates seamlessly with existing workflows.
**Outreach Strategy**:
Reference Stripe's recent "Engineering at Stripe" blog post about AI tool adoption.
Highlight how your solution addresses the specific data masking challenge they
mentioned in their Q3 engineering update.
**Conversation Starters**:
- "Saw your post about AI coding adoption - how are you handling data masking?"
- "Stripe's approach to developer security is impressive - we can help extend that to AI workflows"
Example 2: Remote Work Consulting
User: "I run a consulting practice for remote team productivity. Find me 10 companies in the Bay Area that recently went remote."
Output Sample:
## Lead 1: Discord (Remote-First Transition)
**Website**: https://discord.com
**Priority Score**: 8/10
**Industry**: Social Technology / Communication
**Size**: 600+ employees
**Why They're a Good Fit**:
- Announced remote-first policy in March 2024 (company blog)
- Scaling distributed teams across 3 time zones
- Recent job postings emphasize "remote collaboration excellence"
- Engineering leadership publicly discussed remote onboarding challenges
**Target Decision Maker**: Head of People Operations or VP of Engineering
**LinkedIn**: https://linkedin.com/company/discord
**Value Proposition for Them**:
Proven frameworks for scaling remote productivity, specifically for companies
transitioning from hybrid to fully distributed models.
**Outreach Strategy**:
Lead with insights from their CEO's recent interview about "lessons learned
going remote-first." Offer specific workshop on async documentation practices.
**Conversation Starters**:
- "Congrats on the remote-first transition - what's been your biggest challenge?"
- "Saw your CEO's interview about distributed teams - we help with the async communication gap"
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
Additional Resources
Detailed Methodology
references/research-methodology.md- Comprehensive guide on lead research strategies, data sources, scoring frameworks, industry-specific approaches, and quality validation. Use this for advanced research patterns and detailed guidance on scoring and personalization.